Remote Sensing and Photogrammetry – Publications

Our publications can also be found in Research.fi service. 

2024

Blåfield, L., Marttila, H., Kasvi, E., and P. Alho, 2024. Temporal shift of hydroclimatic regime and its influence on migration of a high latitude meandering river. Journal of Hydrology, 633, 130935. https://doi.org/10.1016/j.jhydrol.2024.130935

Campos, M. B., Nunes, M. H., Shcherbacheva, A., Valve, V., Lintunen, A., Kaitaniemi, P., Junttila, S., Yann, S., Kulmala, M., Kukko, A., Hyyppä, J., Wang, Y. and E. Puttonen, 2024. Factors and effects of inter-individual variability in silver birch phenology using dense LiDAR time-series. Agricultural and Forest Meteorology, 358, 110253. https://doi.org/10.1016/j.agrformet.2024.110253

Chen, C. et al., 2024. An APDR/UPV/Light multi-sensor-based indoor positioning method via Factor Graph Optimization. IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/TIM.2024.3428601 

Chen, C., Chen, Y., Zhu, J., Jiang, C., Jia, J., Bo, Y., Liu, X., Dai, H., Puttonen, E. and J. Hyyppä, 2024. An Up-View Visual-Based Indoor Positioning Method via Deep Learning. Remote Sensing, 16(6), 1024. https://doi.org/10.3390/rs16061024

Chen, J., Liang, X., Liu, Z., Gong, W., Chen, Y., Hyyppä, J., Kukko, A. and Y. Wang, 2024. Tree species recognition from close-range sensing: A review. Remote Sensing of Environment, 313, 114337. https://doi.org/10.1016/j.rse.2024.114337

Faitli, T., Hyyppä, E., Hyyti, H., Hakala, T., Kaartinen, H., Kukko, A., Muhojoki, J. and J. Hyyppä, 2024. Integration of a Mobile Laser Scanning System with a Forest Harvester for Accurate Localization and Tree Stem Measurements. Remote Sensing, 16(17), 3292. https://doi.org/10.3390/rs16173292

Feng, Z., Yu, X., Chen, Y., Puttonen, E., Hakala, T., Jiang, C. and J. Hyyppä, 2024. Feasibility of using Ku-band helicopter-borne microwave radar for stem volume and biomass estimation in boreal forest. International Journal of Applied Earth Observation and Geoinformation, 131, 103966. https://doi.org/10.1016/j.jag.2024.103966 

Garcia, T. A. C., Tommaselli, A. M. G., Castanheiro, L. F. and M. B. Campos, 2024. A photogrammetric approach for real-time visual SLAM applied to an omnidirectional system. The Photogrammetric Record. https://doi.org/10.1111/phor.12494

Hammarberg, T., García, J. M. V., Alanko, J. N. and M. Z. H. Bhuiyan, 2024. An Experimental Performance Assessment of Galileo OSNMA. Sensors, 24(2), 404. https://doi.org/10.3390/s24020404

Huo, L., Koivumäki, N., Oliveira, R. A., Hakala, T., Markelin, L., Näsi, R., Suomalainen, J., Polvivaara, A., Junttila, S. and E. Honkavaara, 2024. Bark beetle pre-emergence detection using multi-temporal hyperspectral drone images: Green shoulder indices can indicate subtle tree vitality decline. ISPRS Journal of Photogrammetry and Remote Sensing, 216: 200-216. https://doi.org/10.1016/j.isprsjprs.2024.07.027

Hyyppä, H., Kurkela, M., Julin, A., Kaartinen, H., Ahlavuo, M., Kostamo, M., Kukko, A., Rantanen, T., El Issaoui, A., Vaaja, M. T. ja J. Hyyppä, 2024. Rakentamisen ajantasaisten toteumamallien mittausteknologiat. Maankäyttö, 1/2024, 32-37

Hyyppä, H., Hyyppä, J., Ahlavuo, M. ja M. Kurkela, 2024. Tulevaisuuden dataa autonomisista roboteista. Maankäyttö, 1/2024, 4-8

Jia, J., Zheng, X., Wang, Y., Chen, Y., Karjalainen, M., Dong, S., Lu, R., Wang, J. and J. Hyyppä, 2024. The effect of artificial intelligence evolving on hyperspectral imagery with different signal-to-noise ratio, spectral and spatial resolutions. Remote Sensing of Environment, 311, 114291. https://doi.org/10.1016/j.rse.2024.114291

Jin, X., Wang, C., Han, G., Wang, Y. and J. Jia, 2024. A Novel Stitching Method for High-Precision Low-Overlap Thermal Infrared Array Sweeping Images. IEEE Transactions on Geoscience and Remote Sensing, 62, 5000117. https://doi.org/10.1109/TGRS.2023.3337244

Karjalainen, V., Koivumäki, N., Hakala, T., George, A., Muhojoki, J., Hyyppä, E., Suomalainen, J. and E. Honkavaara, 2024. Autonomous robotic drone system for mapping forest interiors. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2-2024, 167–172. https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-167-2024

Kononen, A., Kaartinen, H., Kukko, A., Lehtomäki, M., Taher, J. and J. Hyyppä, 2024. Fully automated extraction of railtop centerline from mobile laser scanning data. Automation in Construction, 168, Part A, 105812. https://doi.org/10.1016/j.autcon.2024.105812

Korhonen L., Kärhä K., Maltamo M., Malinen J., Hyyppä J., Kaartinen H., Toivonen J., Packalen P. and M. Koivula, 2024. Kaukokartoitus ja metsäkoneiden sensorit metsien monimuotoisuusindikaattorien seurannassa. Metsätieteen aikakauskirja, 23010. https://doi.org/10.14214/ma.23010

Liang, X., Qi, H., Deng, X., Chen, J., Cai, S., Zhang, Q., Wang, Y., Kukko, A. and J. Hyyppä, 2024. ForestSemantic: a dataset for semantic learning of forest from close-range sensing. Geo-Spatial Information Science, 1–27. https://doi.org/10.1080/10095020.2024.2313325

Lin, X., Chen, R., Huang, L., Liu, Z., Niu, X., Guo, G., Li, Z. and L. Qian, 2024. ChirpTracker: A Precise-Location-Aware System for Acoustic Tag Using Single Smartphone. IEEE Internet of Things Journal, 11(1):848-862. https://doi.org/10.1109/JIOT.2023.3287593

Linna, P., Halla, A. and J. Suomalainen, 2024. Concept for Sharing Drone Data in Agricultural Data Ecosystem. 2024 47th MIPRO ICT and Electronics Convention (MIPRO), Opatija, Croatia, pp. 1900-1904. https://doi.org/10.1109/MIPRO60963.2024.10569579 

Lintunen, K., Kasvi, E., Uvo, C.B. and P. Alho, 2024. Changes in the discharge regime of Finnish rivers. Journal of Hydrology: Regional Studies, 53, 101749. https://doi.org/10.1016/j.ejrh.2024.101749

Liu, J.,  Lv, X., Gong, X., Liang, Y. and J. Hyyppä, 2024. An Unsupervised Learning Network for Large-scale LiDAR Point Clouds Registration. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/TVT.2024.3417415 

Liu, Z., Hakala, T., Hyyppä, J., Kukko, A., Kaartinen, H. and R. Chen, 2024. Data-Driven Antenna Delay Calibration for UWB Devices for Network Positioning. IEEE Transactions on Instrumentation and Measurement, 73, 9504211. https://doi.org/10.1109/TIM.2023.3348891

Liu, Z., Kaartinen, H., Hakala, T., Hyyppä, J., Kukko, A. and R. Chen, 2024. Performance Analysis of Standalone UWB Positioning Inside Forest Canopy. IEEE Transactions on Instrumentation and Measurement, 73, 1–14. https://doi.org/10.1109/TIM.2024.3413139 

Liu, Z., Hakala, T., Hyyppä, J., Kukko A. and R. Chen, 2024. Performance Comparison of UWB IEEE 802.15.4z and IEEE 802.15.4 in Ranging, Energy Efficiency, and Positioning. IEEE Sensors Journal, 24(8): 12481-12489. https://doi.org/10.1109/JSEN.2024.3368113

Lotsari, E., House, P.K., Alho, P. and V.R. Baker, 2024. Fluviomorphic trajectories for dryland ephemeral stream channels following extreme flash floods. Earth Surface Processes and Landforms, 1–23. https://doi.org/10.1002/esp.5847

Markelin, L., Sippo, M., Leiso, P. and E. Honkavaara, 2024. From research to production: radiometric block adjustment to automate and improve tonal adjustment of orthomosaics created from airborne images. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2-2024, 219–224. https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-219-2024

Mladenović, M., Niemi, L., Saif, A. and E. Honkavaara, 2024. Development of a geospatial decision-support tool for Urban Air Mobility landing and launch site location planning: Analysis, framework and technical setup. CITYAM Project. https://interreg-baltic.eu/wp-content/uploads/2024/01/D1.4-Development-of-a-geospatial-decision-support-tool-for-Urban-Air-Mobility-landing-and-launch-site-location-planning.pdf

Muhojoki, J., Hakala, T., Kukko, A., Kaartinen, H. and J. Hyyppä, 2024. Comparing positioning accuracy of mobile laser scanning systems under a forest canopy. Science of Remote Sensing, 9, 100121. https://doi.org/10.1016/j.srs.2024.100121

Muhojoki, J., Tavi, D., Hyyppä, E., Lehtomäki, M., Faitli, T., Kaartinen, H., Kukko, A., Hakala, T. and J. Hyyppä, 2024. Benchmarking Under- and Above-Canopy Laser Scanning Solutions for Deriving Stem Curve and Volume in Easy and Difficult Boreal Forest Conditions. Remote Sensing, 16(10), 1721. https://doi.org/10.3390/rs16101721

Peltonen-Sainio, P., Jauhiainen, L., Näsi, R., Puttonen, E. and E. Honkavaara, 2024. Harmonization potential of the fragmented farmlands in Finland: The pros and cons for critical parcel characteristics. Land Use Policy, 147, 107380. https://doi.org/10.1016/j.landusepol.2024.107380

Pohjala, J., Vahtila, M., Ovaskainen, H., Kankare, V., Hyyppä, J. and K. Kärhä, 2024. Effect of Prior Tree Marking on Cutting Productivity and Harvesting Quality. Croatian Journal of Forest Engineering, 45(1): 25-42. https://doi.org/10.5552/crojfe.2024.2213

Reichler, M., Taher, J., Manninen, P., Kaartinen, H., Hyyppä, J., and A. Kukko, 2024. Semantic segmentation of raw multispectral laser scanning data from urban environments with deep neural networks. ISPRS Open Journal of Photogrammetry and Remote Sensing, 12, 100061. https://doi.org/10.1016/j.ophoto.2024.100061

Roiha, J., Tanhuanpää, T., Hyyppä, J. and M. Holopainen, 2024. Precision Forestry Versus Non-Precision Archaeology—Integrating Forest Management and Archaeological Site Protection. Forests, 15(6), 918. https://doi.org/10.3390/f15060918

Ronoud, G., Poorazimy, M., Yrttimaa, T., Kukko, A., Hyyppä, J., Saarinen, N., Kankare, V. and M. Vastaranta, 2024. Characterizing the competitive stress of individual trees using point clouds. Forest Ecology and Management, 572, 122305. https://doi.org/10.1016/j.foreco.2024.122305

Shao, H., Zhang, H., Hu, P., Chen, Y., Li, W., Sun, L. and Y. Hu, 2024. Feasibility study of forest wood-boring pest detection base on hyperspectral LiDAR. International Journal of Remote Sensing, 45(6), 1926–1948. https://doi.org/10.1080/01431161.2024.2320180

Sharma, V., Honkavaara, E., Hayden, M. and S. Kant, 2024. UAV remote sensing phenotyping of wheat collection for response to water stress and yield prediction using machine learning. Plant Stress, 12, 100464. https://doi.org/10.1016/j.stress.2024.100464

Shcherbacheva, A., Campos, M.B., Wang, Y., Liang, X., Kukko, A., Hyyppä, J., Junttila, S., Lintunen, A., Korpela, I. and E. Puttonen, 2024. A study of annual tree-wise LiDAR intensity patterns of boreal species observed using a hyper-temporal laser scanning time series. Remote Sensing of Environment, 305, 114083. https://doi.org/10.1016/j.rse.2024.114083

Soininen, V., Hyyppä, E., Muhojoki, J., Luoma, V., Kaartinen, H., Lehtomäki, M., Kukko, A. and J. Hyyppä, 2024. Accuracy comparison of terrestrial and airborne laser scanning and manual measurements for stem curve-based growth measurements of individual trees. Science of Remote Sensing, 9, 100125. https://doi.org/10.1016/j.srs.2024.100125

Sorokina, H. E., Nunes, M. H., Heiskanen, J., Munyao, M., Mwang'ombe, J., Pellikka, P., Raumonen, P., and E. E. Maeda, 2024. East African megafauna influence on vegetation structure permeates from landscape to tree level scales. Ecological Informatics, 79, 102435. https://doi.org/10.1016/j.ecoinf.2023.102435

Sun, H., Liu, X., Xu, C., Xu, L., Chen, Y., et. al., 2024. Synergic Effect of N and Se Facilitates Photoelectric Performance in Co-Hyperdoped Silicon. Nanomaterials, 14(19), 1591. https://doi.org/10.3390/nano14191591

Sun, H., Wang, Y., Sun, Z., et al. 2024. Miniaturizing Hyperspectral Lidar System Employing Integrated Optical Filters. Remote Sensing 2024, 16(9), 1642. https://doi.org/10.3390/rs16091642 

Takhtkeshha, N., Mandlburger, G., Remondino, F. and J. Hyyppä, 2024. Multispectral Light Detection and Ranging Technology and Applications: A Review. Sensors, 24(5), 1669. https://doi.org/10.3390/s24051669

Wang, X., Liang, X., Campos, M., Zhang, J. and Y. Wang, 2024. Benchmarking of Laser-Based Simultaneous Localization and Mapping Methods in Forest Environments. IEEE Transactions on Geoscience and Remote Sensing, 62: 1-21, 5706221. https://doi.org/10.1109/TGRS.2024.3439438

Yang, F., Liu, D., Gong, X., Chen, R. and J. Hyyppä, 2024. 3D indoor area recognition for personnel security using integrated UWB and barometer approach. Scientific Reports, 14(1), 20846. https://doi.org/10.1038/s41598-024-69927-x

Yrttimaa, T., Matsuzaki, S., Kankare, V., Junttila, S., Saarinen, N., Kukko, A., Hyyppä, J., Miura, J. and M. Vastaranta, 2024. Assessing Forest Traversability for Autonomous Mobile Systems Using CloseRange Airborne Laser Scanning. Croatian Journal of Forest Engineering, 45(1): 169-182. https://doi.org/10.5552/crojfe.2024.2229

Yrttimaa, T., Junttila, S., Luoma, V., Pyörälä, J., Puttonen, E., Campos, M., Hölttä, T. and M. Vastaranta, 2024. Tree height and stem growth dynamics in a Scots pine dominated boreal forest. Trees, Forests and People, 15, 100468. https://doi.org/10.1016/j.tfp.2023.100468

Zhang, Q., Zhou, H., Ma, Y., Wang, H., Li, S. and Y. Chen, 2024. ICESat-2 Derived Canopy Covers With Radiometric and Reflectance Ratio Corrections. IEEE Transactions on Geoscience and Remote Sensing, 62, 4401714. https://doi.org/10.1109/TGRS.2024.3349559

Östersund, M., Honkavaara, E., Oliveira, R.A. et al., 2024. Exploring forest changes in an Ips typographus L. outbreak area: insights from multi-temporal multispectral UAS remote sensing. European Journal of Forest Research. https://doi.org/10.1007/s10342-024-01734-5

2023

Campos, M. B., Valve, V., Shcherbacheva, A., Echriti, R., Wang, Y. and E. Puttonen, 2023. Detection of Silver Birch Growth Dynamics and Timing with Dense Spatio-Temporal LiDAR Time-Series. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W2-2023: 1715–1722. https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1715-2023

Castanheiro, L. F., Tommaselli, A. M. G., Garcia, T. A. C., Campos, M. B. and A. Kukko, 2023. Point Cloud Registration Using Laser Data from an Orange Orchard. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W1-2023, 71–77. https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-71-2023. https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-71-2023

Chartrand, S.M., Jellinek, A.M., Kukko, A., Grau Galofre, A., Osinski, G.R. and S. Hibbard, 2023. High Arctic channel incision modulated by climate change and the emergence of polygonal ground. Nature Communications 14, 5297. https://doi.org/10.1038/s41467-023-40795-9

Chen, C., Zhu, J., Bo, Y., Chen, Y., Jiang, C., Jia, J., Duan, Z., Karjalainen, M. and J. Hyyppä, 2023. Pedestrian Smartphone Navigation Based on Weighted Graph Factor Optimization Utilizing GPS/BDS Multi-Constellation. Remote Sensing 15(10), 2506. https://doi.org/10.3390/rs15102506

Cui, H., Qiu, S., Wang, Y., Zhang, Y., Liu, Z., Karila, K., Jia, J. and Y. Chen, 2023. Disaster-Caused Power Outage Detection at Night Using VIIRS DNB Images. Remote Sensing, 15(3), 640. https://doi.org/10.3390/rs15030640

Eilola, S., Jaalama, K., Kangassalo, P., Nummi, P., Staffans, A. and N. Fagerholm, 2023. 3D visualisations for communicative urban and landscape planning: What systematic mapping of academic literature can tell us of their potential? Landscape and Urban Planning, 234, 104716. https://doi.org/10.1016/j.landurbplan.2023.104716

Faitli, T., Hakala, T., Kaartinen, H., Hyyppä, J., and A. Kukko, 2023. Real-time Lidar-inertial Positioning and Mapping for Forestry Automation. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesInt, Vol. XLVIII-1/W1-2023,  145–150. 12th International Symposium on Mobile Mapping Technology (MMT 2023). https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-145-2023

Garcia, T. A. C., Tommaselli, A. M. G., Castanheiro, L. F. and M. B. Campos, 2023. Comparison of Two Mathematical Models for Fisheye Cameras Applied in the Orb-Slam. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W1-2023, 155–160. https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-155-2023

George, A., Koivumäki, N., Hakala, T., Suomalainen, J., and E. Honkavaara, 2023. Visual-Inertial Odometry Using High Flying Altitude Drone Datasets. Drones, 7(1), 36. https://doi.org/10.3390/drones7010036

Hakula, A., Ruoppa, L., Lehtomäki, M., Yu, X., Kukko, A., Kaartinen, H., Taher, J., Matikainen, L., Hyyppä, E., Luoma, V. and M. Holopainen, 2023. Individual tree segmentation and species classification using high-density close-range multispectral laser scanning data. ISPRS Open Journal of Photogrammetry and Remote Sensing 9, 100039. https://doi.org/10.1016/j.ophoto.2023.100039

Hattula, E., Zhu, L., Raninen, J., Oksanen, J. and J. Hyyppä, 2023. Advantages of Using Transfer Learning Technology with a Quantative Measurement. Remote Sensing, 15(17), 4278. https://doi.org/10.3390/rs15174278

Heinaro, E., Tanhuanpää, T., Kukko, A., Hakala, T. and M. Holopainen, 2023. Comparing field measurements and annotations as training data for UAV-based detection of standing dead trees in coniferous forest. International Journal of Remote Sensing 44(17), 5375-5396. https://doi.org/10.1080/01431161.2023.2248561

Heinaro, E., Tanhuanpää, T., Vastaranta, M., Yrttimaa, T., Kukko, A., Hakala, T., Mattsson, T. and M. Holopainen, 2023. Evaluating Factors Impacting Fallen Tree Detection from Airborne Laser Scanning Point Clouds. Remote Sensing, 15(2), 382. http://dx.doi.org/10.3390/rs15020382

Hibbard, S. M., Chartrand, S., Eschenfelder, J., Knightly, P., Kukko, A. and G. R. Osinski, 2023. Comparative Morphologic Investigation of Polygons on Devon Island, Arctic Canada, with Implications for Mars Ice Accessibility. 54th Lunar and Planetary Science Conference, 13-17 March 2023. LPI Contribution No. 2806, 2692. Abstract. https://ui.adsabs.harvard.edu/abs/2023LPICo2806.2692H/abstract

Hyyppä, E., Manninen, P., Maanpää, J., Taher, J., Litkey, P., Hyyti, H., Kukko, A., Kaartinen, H., Ahokas, E., Yu, X., Muhojoki, J., Lehtomäki, M., Virtanen, J.-P., and J. Hyyppä, 2023. Can the Perception Data of Autonomous Vehicles Be Used to Replace Mobile Mapping Surveys? A Case Study Surveying Roadside City Trees. Remote Sensing, 15(7), 1790. https://doi.org/10.3390/rs15071790

Hyyti, H., 2023. Perception Systems for Autonomous Forest Machinery. Aalto University publication series DOCTORAL THESES, 157/2023. 179 + app. 98. https://urn.fi/URN:ISBN:978-952-64-1452-2

Imangholiloo, M., Luoma, V., Holopainen, M., Vastaranta, M., Mäkeläinen, A., Koivumäki, N., Honkavaara, E. and E. Khoramshahi, 2023. A New Approach for Feeding Multispectral Imagery into Convolutional Neural Networks Improved Classification of Seedlings. Remote Sensing, 15(21), 5233. https://doi.org/10.3390/rs15215233

Jiang, C., Chen, Y., Chen, C., Chen, S., Meng, Q., Bo, Y. and J. Hyyppä, 2023. Cooperative Smartphone GNSS/PDR for Pedestrian Navigation. IEEE Transactions on Circuits and Systems II: Express Briefs 70(6), 2301-2305. http://dx.doi.org/10.1109/tcsii.2022.3229106

Jiang, C., Chen, Y., Chen, C. and J. Hyyppä, 2023. Walking Gaits Aided Mobile GNSS for Pedestrian Navigation in Urban Areas. IEEE Internet of Things Journal. https://doi.org/10.1109/JIOT.2023.3319014 

Jiang, C., Chen, Y., Chen C. and J. Hyyppä, 2023. Walking Gait Assisted Vector Tracking GNSS for Pedestrian Position. IEEE Transactions on Instrumentation and Measurement, 72, 8506711. https://doi.org/10.1109/TIM.2023.3324690

Jiang, C., Chen, Y., Liu, Z., Xia, Q., Chen, C. and J. Hyyppä, 2023. A Probabilistic Method-Based Smartphone GNSS Fault Detection and Exclusion System Utilizing PDR Step Length. Remote Sensing, 15(20), 4993. https://doi.org/10.3390/rs15204993

Karila, K., Matikainen, L., Karjalainen, M., Puttonen, E., Chen, Y., and J. Hyyppä, 2023. Automatic labelling for semantic segmentation of VHR satellite images: Application of airborne laser scanner data and object-based image analysis. ISPRS Open Journal of Photogrammetry and Remote Sensing, 9, 100046. https://doi.org/10.1016/j.ophoto.2023.100046

Karjalainen, V., Hakala, T., George, A., Koivumäki, N., Suomalainen, J. and E. Honkavaara, 2023. A Drone System for Autonomous Mapping Flights Inside a Forest - A Feasibility Study and First Results. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W2-2023: 597–603. https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-597-2023

Karvonen, H., Honkavaara, E., Röning, J., Kramar, V. and J. Sassi, 2023. Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. HCII 2023. Lecture Notes in Computer Science(), vol 14018. Springer, Cham. https://doi.org/10.1007/978-3-031-35389-5_17

Keitaanniemi, A., Rönnholm, P., Kukko, A., andn M. Vaaja, 2023. Drift analysis and sectional post-processing of indoor simultaneous localization and mapping (SLAM)-based laser scanning data. Automation in Construction 146, 104700. https://doi.org/10.1016/j.autcon.2022.104700

Khoramshahi, E., Näsi, R., Rua, S., Oliveira, R.A., Päivänsalo, A., Niemeläinen, O., Niskanen, M. and E. Honkavaara, 2023. A Novel Deep Multi-Image Object Detection Approach for Detecting Alien Barleys in Oat Fields Using RGB UAV Images. Remote Sensing 15(14) 3582. https://doi.org/10.3390/rs15143582

Korpela, I., Polvivaara, A., Hovi, A., Junttila, S. and M. Holopainen, 2023. Influence of phenology on waveform features in deciduous and coniferous trees in airborne LiDAR. Remote Sensing of Environment 293, 113618. https://doi.org/10.1016/j.rse.2023.113618

Kukko, A. 2023. LAS3R-projekti: Lumen ja jään tutkimista Etelämantereella. Positio 10.5.2023. https://positio-lehti.fi/2023/05/las3r-projekti-lumen-ja-jaan-tutkimista-etelamantereella/

Liu, C., Calders, K., Origo, N., Disney, M., Meunier, F., Woodgate, W., Gastellu-Etchegorry, J.-P., Nightingale, J., Honkavaara, E., Hakala, T., Markelin, L. and H. Verbeeck, 2023. Reconstructing the digital twin of forests from a 3D library: Quantifying trade-offs for radiative transfer modeling. Remote Sensing of Environment, 298, 113832. https://doi.org/10.1016/j.rse.2023.113832

Liu, J., Huang, G., Hyyppä, J., Li, J., Gong, X. and X. Jiang, 2023. A survey on location and motion tracking technologies, methodologies and applications in precision sports. Expert Systems with Applications 229, 120492. https://doi.org/10.1016/j.eswa.2023.120492

Liu, J., Liang, Y., Xu, D., Gong X. and J. Hyyppä, 2023. A ubiquitous positioning solution of integrating GNSS with LiDAR odometry and 3D map for autonomous driving in urban environments. Journal of Geodesy 97(4), 39. https://doi.org/10.1007/s00190-023-01728-y

Lopatin, E., Väätäinen, K., Kukko, A., Kaartinen, H., Hyyppä, J., Holmström, E., Sikanen, L., Nuutinen, Y. and J. Routa, 2023. Unlocking Digitalization in Forest Operations with Viewshed Analysis to Improve GNSS Positioning Accuracy. Forests 14 (4), 689. https://doi.org/10.3390/f14040689

Moriya, É.A.S., Imai, N.N., Tommaselli, A.M.G., Honkavaara, E. and D.L. Rosalen, 2023. Design of Vegetation Index for Identifying the Mosaic Virus in Sugarcane Plantation: A Brazilian Case Study. Agronomy 13(6), 1542. https://doi.org/10.3390/agronomy13061542

Näsi, R., Mikkola, H., Honkavaara, E., Koivumäki, N., Oliveira, R.A., Peltonen-Sainio, P., Keijälä, N.-S., Änäkkälä, M., Arkkola, L. and L. Alakukku, 2023. Can Basic Soil Quality Indicators and Topography Explain the Spatial Variability in Agricultural Fields Observed from Drone Orthomosaics? Agronomy 13(3), 669. https://doi.org/10.3390/agronomy13030669

Oivukkamäki, J., Atherton, J., Xu, S., Riikonen, A., Zhang, C., Hakala, T., Honkavaara, E., and A. Porcar-Castell, 2023. Investigating Foliar Macro- and Micronutrient Variation with Chlorophyll Fluorescence and Reflectance Measurements at the Leaf and Canopy Scales in Potato. Remote Sensing 15(10), 2498. https://doi.org/10.3390/rs15102498

Oliveira, R.A., Näsi, R., Korhonen, P. et al., 2023. High-precision estimation of grass quality and quantity using UAS-based VNIR and SWIR hyperspectral cameras and machine learning. Precision Agriculture, 25: 186–220. https://doi.org/10.1007/s11119-023-10064-2

Oliveira, R. A., Näsi, R., Korhonen, P., Mustonen, A., Niemeläinen, O., Koivumäki, N., Hakala, T., Suomalainen, J., Kaivosoja, J. and E. Honkavaara, 2023. Hyperspectral UAS Imagery for Grass Swards Biomass and Nitrogen Estimation. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W2-2023: 1861–1866. https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1861-2023

Pereira Martins-Neto, R., Garcia Tommaselli, AM., Imai, NN., Honkavaara, E., Miltiadou, M., Saito Moriya, EA. and HC. David 2023. Tree Species Classification in a Complex Brazilian Tropical Forest Using Hyperspectral and LiDAR Data. Forests 14(5) 945. https://doi.org/10.3390/f14050945

Raita-Hakola, A.-M., Rahkonen, S., Suomalainen, J., Markelin, L., Oliveira, R., Hakala, T., Koivumäki, N., Honkavaara, E. and I. Pölönen, 2023. Combining YOLO V5 and Transfer Learning for Smoke-Based Wildfire Detection in Boreal Forests. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W2-2023: 1771–1778. https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1771-2023

Roiha, J. and M. Holopainen, 2023. Digging through Databases—A Case Study of Iron Age Sites in Finland by Generating and Analysing Keywords. Heritage, 6(8):5919-5934. https://doi.org/10.3390/heritage6080311

Räsänen, T., Middleton, M., Pohjankukka, J., Mäkinen, V., Kivimäki, A., et al., 2023. Turvemaiden digitaalinen kartoitus ja turvepeltolohkojen tunnistaminen. Luonnonvara- ja biotalouden tutkimus 119/2023, 76 s. http://urn.fi/URN:ISBN: 978-952-380-851-5

Räsänen, T.A., Myllys, M., Kekkonen, H., Salo, T., Pitkänen, T., Laatikainen, M., Laine-Petäjäkangas, A., Väänänen, T., Palmu, J.-P., Kivimäki, A. ja J. Oksanen, 2023.Turvepeltolohkojen määrittely ja tunnistaminen: Maatalousmaiden turvetieto (MaaTu) -hankkeen raportti 58/2023. http://urn.fi/URN:ISBN:978-952-380-720-4

Shao, H., Wang, F., Li, W., Hu, P., Sun, L., Xu, C., Jiang, C., and Y. Chen, 2023. Feasibility Study on the Classification of Persimmon Trees’ Components Based on Hyperspectral LiDAR. Sensors, 23(6), 3286. https://doi.org/10.3390/s23063286

Shao, Q., Yang, G., Jia, J., Ma, L., Li, M., Zhong, Y., Sun, H., Jiang, C., Chen, Y. and Z. Duan, 2023. A sensitivity enhanced touch mode capacitive pressure sensor with double cavities. Microsystem Technologies, 29(5), 755–762. https://doi.org/10.1007/s00542-023-05444-7

Shcherbacheva, A., Campos, M. B., Liang, X., Puttonen, E. and Y. Wang, 2023. Unsupervised Statistical Approach for Tree-Level Separation of Foliage and Non-Leaf Components from Point Clouds. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W2-2023: 1787–1794. https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1787-2023

Spadavecchia, C., Campos, M. B., Piras, M., Puttonen, E. and A. Shcherbacheva, 2023. Wood-Leaf Unsupervised Classification of Silver Birch Trees for Biomass Assessment Using Oblique Point Clouds. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W2-2023: 1795–1802. https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1795-2023

Tao, W., Hua, X., He, X., Liu, J. and D. Xu, 2023. Automatic multi-view registration of point clouds via a high-quality descriptor and a novel 3D transformation estimation technique. Visual Computer. https://doi.org/10.1007/s00371-023-02942-7

Tao, W., Liu, J.; Xu, D. and Y. Xiao, 2023. Automatic Registration of Point Clouds by Combining Local Shape Descriptor and G4PCS Algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16, 6339-6351. http://dx.doi.org/10.1109/jstars.2023.3293409

Tian, W., et al., 2023. Radiometric Correction of Incidence Angle and Distance Effects on Hyperspectral Lidar Point Cloud Classification. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA. pp. 4262-4265. https://doi.org/10.1109/IGARSS52108.2023.10282051

Tian, W., Chen, Y., Tang, L., et. al, 2023. Bidirectional reflectance distribution function model of rough surface based on backscatter intensity of hyperspectral LiDAR. Infrared and Laser Engineering, 52(10), 20230108. http://www.irla.cn/article/doi/10.3788/IRLA20230108

Tommaselli, A. M. G., Garcia, T. A. C., Castanheiro, L. F., Campos, M. B. and G. H. Santos, 2023. Effects of Hyper Hemispherical Field in Bundle Adjustment with Fisheye Images. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W1-2023, 503–509. https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-503-2023

Turkulainen, E., Honkavaara, E., Näsi, R., Oliveira, R.A., Hakala, T., et al., 2023. Comparison of Deep Neural Networks in the Classification of Bark Beetle-Induced Spruce Damage Using UAS Images. Remote Sensing, 15(20), 4928. https://doi.org/10.3390/rs15204928

Winberg, O., Pyörälä, J., Yu, X., Kaartinen, H., Kukko, A., Holopainen, M., Holmgren, J., Lehtomäki, M., and J. Hyyppä, 2023. Branch information extraction from Norway spruce using handheld laser scanning point clouds in Nordic forests. ISPRS Open Journal of Photogrammetry and Remote Sensing 9, 100040. https://doi.org/10.1016/j.ophoto.2023.100040

Wittke, S., Fouilloux, A., Lehti, P., Varho, J., Kivimäki, A., Karhu, M., Karjalainen, M., Vaaja, M. and E. Puttonen, 2023. EODIE — Earth Observation Data Information Extractor. SoftwareX 23, 101421. https://doi.org/10.1016/j.softx.2023.101421

Xiong, B., Jin, Y., Li, F., Chen, Y., Zou, Y. and Z. Zhou, 2023. Knowledge-driven inference for automatic reconstruction of indoor detailed as-built BIMs from laser scanning data. Automation in Construction, 156, 105097. https://doi.org/10.1016/j.autcon.2023.105097

Yan, C. S., Chen, Y. W., Yang, H. M. and E. Ahokas, 2023. Optical spectrum analyzers and typical applications in astronomy and remote sensing. Review of Scientific Instruments 94(8), 081501. https://doi.org/10.1063/5.0138963

Yang, H., Huang, H., Liu, X., Li, Z., Li, J., Zhang, D., Chen, Y. and J. Liu, 2023. Sensing mechanism of an Au-TiO2-Ag nanograting based on Fano resonance effects. Applied Optics, 62(17): 4431-4438. https://doi.org/10.1364/AO.491732

Yang, Z., Chen, Y., Sedov, D., Kaski, S., and J. Korander, 2023. Stochastic cluster embedding. Statistics and Computing, 33, 12. https://doi.org/10.1007/s11222-022-10186-z

Yang, Z., Li, J., Hyyppä, J., Gong, J., Liu, J. and B. Yang, 2023. A comprehensive and up-to-date web-based interactive 3D emergency response and visualization system using Cesium Digital Earth: taking landslide disaster as an example. Big Earth Data. https://doi.org/10.1080/20964471.2023.2172823

H. Yao et al., 2023. A Benchmark of Absolute and Relative Positioning Solutions in GNSS Denied Environments. IEEE Internet of Things Journal. https://doi.org/10.1109/JIOT.2023.3300018

Yin, X., Jiang, C., Zheng, H., Sampaolo, A. and K. Xu, 2023. Editorial: Acquisition and application of multimodal sensing information. Frontiers in Physics, 11, 1284176. https://doi.org/10.3389/fphy.2023.1284176

Yrttimaa, T., Junttila, S., Luoma, V., Calders, K., Kankare, V., Saarinen, N., Kukko, A., Holopainen, M., Hyyppä, J., and M. Vastaranta, 2023. Capturing seasonal radial growth of boreal trees with terrestrial laser scanning. Forest Ecology and Management, 529, 120733. https://doi.org/10.1016/j.foreco.2022.120733

Yrttimaa, T., Kankare, V., Luoma, V., Junttila, S., Saarinen, N., Calders, K., Holopainen, M., Hyyppä, J. and M. Vastaranta, 2023. A method for identifying and segmenting branches of Scots pine (Pinus sylvestris L.) trees using terrestrial laser scanning. Forestry: An International Journal of Forest Research. https://doi.org/10.1093/forestry/cpad062

Zhao, Z., Qiu, S., Chen, F., Chen, Y., Qian, Y., Cui, H., Zhang, Y., Khoramshahi, E., and Y. Qiu, 2023. Vessel Detection with SDGSAT-1 Nighttime Light Images. Remote Sensing, 15(17), 4354. https://doi.org/10.3390/rs15174354

Zhou, H., Zhang, Q., Ma, Y., Li, S. and Y. Chen, 2023. Radiometric Correction Model and Land Cover Classification of Snow-Covered Terrains for ICESat-2 Photon-Counting Lidar. IEEE Transactions on Geoscience and Remote Sensing 61, 5700713. https://doi.org/10.1109/TGRS.2023.3237273

Zhou, T., Liu, W., Zhang, M. and J. Jia, 2023. Optimization of AEB Decision System Based on Unsafe Control Behavior Analysis and Improved ABAS Algorithm. IEEE Transactions on Intelligent Transportation Systems. http://dx.doi.org/10.1109/tits.2023.3317095

 

2022

Alho, P., Blåfield, L., Lintunen, K., Calle, M., Conzales-Inca, C., and E. Kasvi, 2022. Digitaalinen siirtymä virtavesien tutkimuksessa. Vesitalous, 4/2022:17-19.

Alho, P., Marttila, H., Lotsari, E., Kaartinen, H., Uvo, C., Ronkanen, A.-K. ja J. Silander, 2022. Uusi vesistötutkimuksen osaamiskeskus ottaa digiloikan suoraan syvään päähän. Vesitalous 4/2022: 31 - 33.

Alves Oliveira, R., Marcato Junior, J., Soares Costa, C., Näsi, R., Koivumäki, N., Niemeläinen, O., Kaivosoja, J., Nyholm, L., Pistori, H., and E. Honkavaara, 2022. Silage Grass Sward Nitrogen Concentration and Dry Matter Yield Estimation Using Deep Regression and RGB Images Captured by UAV. Agronomy, 12(6), 1352. https://doi.org/10.3390/agronomy12061352

Atherton, J., Zhang, C., Oivukkamäki, J., Kulmala, L., Xu, S., Hakala, T., Honkavaara, E., MacArthur, A., Porcar-Castell, A., Bochtis, D. D., Lampridi, M., Petropoulos, G. P., Ampatzidis, Y. and P. Pardalos, 2022. What Does the NDVI Really Tell Us About Crops? Insight from Proximal Spectral Field Sensors. In: Bochtis, D.D., Lampridi, M., Petropoulos, G.P., Ampatzidis, Y., Pardalos, P. (eds) Information and Communication Technologies for Agriculture—Theme I: Sensors. Springer Optimization and Its Applications, vol 182. Springer, Cham. https://doi.org/10.1007/978-3-030-84144-7_10

Blomqvist, M., Lyytikäinen-Saarenmaa, P., Kosunen, M., Kantola, T., and M. Holopainen, 2022. Defoliation-Induced Growth Reduction of Pinus sylvestris L. after a Prolonged Outbreak of Diprion pini L.—A Case Study from Eastern Finland. Forests, 13(6), 839. https://doi.org/10.3390/f13060839

Chen, C., Chen, Y., Jiang, C., Bo, Y., Jia, J., Sun, H., and Z. He, 2022. The Performance Analysis of BDS Positioning in Nordic Areas Based on the Smartphone. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. 7th International Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS 2022), Vol. XLVI-3/W1-2022, 21-28. https://doi.org/10.5194/isprs-archives-XLVI-3-W1-2022-21-2022

Chen, S., Ma, H., Jiang, C., Zhou, B., Xue, W., Xiao, Z., and Q. Li, 2022. NDT-LOAM: A Real-Time Lidar Odometry and Mapping With Weighted NDT and LFA. IEEE Sensors Journal, 22(4): 3660-3671. https://doi.org/10.1109/JSEN.2021.3135055

Christovam, L.E., Shimabukuro, M.H., Galo, M.D.B.T., and E. Honkavaara, 2022. Pix2pix Conditional Generative Adversarial Network with MLP Loss Function for Cloud Removal in a Cropland Time Series Remote Sensing, 1(14), 144. https://doi.org/10.3390/rs14010144

Feng, Z., El Issaoui, A., Lehtomäki, M., Ingman, M., Kaartinen, H., Kukko, A., Savela, J., Hyyppä, H., and J. Hyyppä, 2022. Pavement distress detection using terrestrial laser scanning point clouds – Accuracy evaluation and algorithm comparison. ISPRS Open Journal of Photogrammetry and Remote Sensing, 3, 100010. https://doi.org/10.1016/j.ophoto.2021.100010

Gonzales-Inca, C., Calle, M., Croghan, D., Torabi Haghighi, A., Marttila, H., Silander, J. and P. Alho, 2022. Geospatial Artificial Intelligence (GeoAI) in the Integrated Hydrological and Fluvial Systems Modeling: Review of Current Applications and Trends. Water, 14(14), 2211. https://doi.org/10.3390/w14142211

Harikumar, A., Liang, X., Bovolo, F., and L. Bruzzone, 2022. Void-Volume-Based Stem Geometric Modeling and Branch-Knot Localization in Terrestrial Laser Scanning Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15:3024-3040. https://doi.org/10.1109/JSTARS.2022.3163404

Hyyppä, E., Kukko, A., Kaartinen, H., Yu, X., Muhojoki, J., Hakala, T., and J. Hyyppä, 2022. Direct and automatic measurements of stem curve and volume using a high-resolution airborne laser scanning system. Science of Remote Sensing, 5, 100050. https://doi.org/10.1016/j.srs.2022.100050

Hyyppä, H., Ahlavuo, M., Hyyppä, J., Ingman, M., Julin, A., Rönnholm, P., Kurkela, M., Kukko; A. and M. Vaaja. 2022. Näkökulmia avoimiin rakennetun ympäristön aineistoihin, osa 1 - Pitäisikö aineistoja avata? Maankäyttö, 3/2022

Hyyppä, H., Ahlavuo, M., Hyyppä, J., Julin, A., Ingman, M., Rönnholm, P., Kurkela, M., Kukko, A., Lindholm, M., Matilainen, J., Heimonen, T. and M. Vaaja. 2022. Näkökulmia avoimiin rakennetun ympäristön aineistoihin, osa 2 - Onko ratkaisuja aineistojen avaamiseen? Maankäyttö 4/2022, s. 29-33

Imangholiloo, M., Yrttimaa, T., Mattsson, T., Junttila, S., Holopainen, M., Saarinen, N., Savolainen, P., Hyyppä, J., and M. Vastaranta, 2022. Adding single tree features and correcting edge tree effects enhance the characterization of seedling stands with single-photon airborne laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing, 191:129-142. https://doi.org/10.1016/j.isprsjprs.2022.07.005

Jaalama, K., Rantanen, T., Julin, A., Fagerholm, N., Keitaanniemi, A., Virtanen, J.-P., Handolin, H., Vaaja, M., and H. Hyyppä, 2022. Auditing an urban park deck with 3D geovisualization—A comparison of in-situ and VR walk-along interviews. Urban Forestry & Urban Greening, 76, 127712. https://doi.org/10.1016/j.ufug.2022.127712

Jiang, C., Chen, Y., Chen, C., Jia, J., Sun, H., Wang, T., and J. Hyyppä, 2022. Implementation and performance analysis of the PDR/GNSS integration on a smartphone. GPS Solutions, 26, 81. https://doi.org/10.1007/s10291-022-01260-0

Jiang, C., Chen, Y., Chen, C., Jia, J., Sun, H., Wang, T., and J. Hyyppä, 2022. Smartphone PDR/GNSS Integration via Factor Graph Optimization for Pedestrian Navigation. IEEE Transactions on Instrumentation and Measurement, 71:1-12, 8504112. https://doi.org/10.1109/TIM.2022.3186082

Jiang, C., Chen, Y., Jia, J., Sun, H. Wang, T., Duan, Z., and J. Hyyppä, 2022. Open-source optimization method for android smartphone single point positioning. GPS Solutions, 26, 90. https://doi.org/10.1007/s10291-022-01272-w

Jiang, C., Chen, Y., Xu, B., Jia, J., Sun, H., Chen, C., Duan, Z., Bo, Y., and J. Hyyppä, 2022. Vector Tracking Based on Factor Graph Optimization for GNSS NLOS Bias Estimation and Correction. IEEE Internet of Things Journal, 9(17),  16209 - 16221. https://doi.org/10.1109/jiot.2022.3150764

Jiang, C., Chen, Y., Xu, B., Jia, J., Sun, H., He, Z., Wang, T., and J. Hyyppä, 2022. Convolutional Neural Networks Based GNSS Signal Classification Using Correlator-Level Measurements. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. 7th International Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS 2022),  Vol. XLVI-3/W1-2022, 61-66. https://doi.org/10.5194/isprs-archives-XLVI-3-W1-2022-61-2022

Junttila, S., Campos, M., Hölttä, T., Lindfors, L., El Issaoui, A., Vastaranta, M., Hyyppä, H., and E. Puttonen, 2022. Tree Water Status Affects Tree Branch Position. Forests, 13(5), 728. https://doi.org/10.3390/f13050728

Junttila, S., Hölttä, T., Saarinen, N., Kankare, V., Yrttimaa, T., Hyyppä, J., and M. Vastaranta, 2022. Close-range hyperspectral spectroscopy reveals leaf water content dynamics. Remote Sensing of Environment, 277, 113071. https://doi.org/10.1016/j.rse.2022.113071

Junttila, S., Näsi, R., Koivumäki, N., Imangholiloo, M., Saarinen, N., Raisio, J., Holopainen, M., Hyyppä, H., Hyyppä, J., Lyytikäinen-Saarenmaa, P., Vastaranta, M., and E. Honkavaara, 2022. Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season. Remote Sensing, 14(4), 909. https://doi.org/10.3390/rs14040909

Kaartinen, H., ja A. Kukko, 2022. Monikanavainen laserkeilaus jokiympäristöjen 3D-kartoituksessa. Vesitalous 4 / 2022: 23 - 26.

Kaijaluoto, R., Kukko, A., El Issaoui, A., Hyyppä, J., and H. Kaartinen, 2022. Semantic segmentation of point cloud data using raw laser scanner measurements and deep neural networks. ISPRS Open Journal of Photogrammetry and Remote Sensing, 3, 100011. https://doi.org/10.1016/j.ophoto.2021.100011

Kanerva, H., Honkavaara, E., Näsi, R., Hakala, T., Junttila, S., Karila, K., Koivumäki, N., Alves Oliveira, R., Pelto-Arvo, M., Pölönen, I., Tuviala, J., Östersund, M., and P. Lyytikäinen-Saarenmaa, 2022. Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network. Remote Sensing, 14, 6257. https://doi.org/10.3390/rs14246257

Kankare, V., Saarinen, N., Pyörälä, J., Yrttimaa, T., Hynynen, J., Huuskonen, S., Hyyppä, J., and M. Vastaranta, 2022. Assessing the Dependencies of Scots Pine (Pinus sylvestris L.) Structural Characteristics and Internal Wood Property Variation. Forests 2022, 13, 397. https://doi.org/10.3390/f13030397

Karila, K., Alves Oliveira, R., Ek, J., Kaivosoja, J., Koivumäki, N., Korhonen, P., Niemeläinen, O., Nyholm, L., Näsi, R., Pölönen, I., and E. Honkavaara, 2022. Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks. Remote Sensing, 14(11), 2692. https://doi.org/10.3390/rs14112692

Lehtola, V.V., Hyyti, H., and T. Malkamäki, 2022. Why it makes sense to use high cost sensors to do low cost sensor. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2/W1-2022, pp. 137–143. https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-137-2022 

Li, F., Zhou, Z., Xiao, J., Chen, R., Lehtomäki, M., Elberink, S.O., Vosselman, G., Hyyppä, J., Chen, Y., and A. Kukko, 2022. Instance-Aware Semantic Segmentation of Road Furniture in Mobile Laser Scanning Data. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2022.3157611

Liang, X., et al., Close-Range Remote Sensing of Forests: The State of the Art, Challenges, and Opportunities for Systems and Data Acquisitions. IEEE Geoscience and Remote Sensing Magazine. https://doi.org/10.1109/MGRS.2022.3168135

Lin, Y., and J. Hyyppä, 2022. Towards 3 D basic theories of plant forms. Communications Biology, 5(1), 703. https://doi.org/10.1038/s42003-022-03652-x

Liu, B., Yu, Y., Hu, Z., Li, M., Ma, L., Sun, H., Jia, J., Jiang, C., Zhong, Y., Chen, Y., and Z. Duan, 2022.  Ag metal interconnect wires formed by pseudoplastic nanoparticles fluid imprinting lithography with microwave assistant sintering. Nanotechnology, 33(27), 275301. https://doi.org/10.1088/1361-6528/ac5eeb

Lotsari, E., Lintunen, K., Kasvi, E., Alho, P. and Blåfield, L., 2022. The impacts of near-bed flow characteristics on river bed sediment transport under ice-covered conditions in 2016–2021. Journal of Hydrology, 615, Part A, 128610. https://doi.org/10.1016/j.jhydrol.2022.128610

Ma, H., Yin, D.Y., Liu, J.B., and R.Z. Chen, 2022. 3D convolutional auto-encoder based multi-scale feature extraction for point cloud registration. Optics & Laser Technology, 149, 107860. https://doi.org/10.1016/j.optlastec.2022.107860

Maanpää, J., Melekhov, I., Taher, J., Manninen, P., and J. Hyyppä, 2022. Leveraging Road Area Semantic Segmentation with Auxiliary Steering Task. In: Sclaroff, S., Distante, C., Leo, M., Farinella, G.M., Tombari, F. (eds) Image Analysis and Processing – ICIAP 2022. ICIAP 2022. Lecture Notes in Computer Science, vol 13231. Springer, Cham. https://doi.org/10.1007/978-3-031-06427-2_60

Manninen, P., Hyyti, H., Kyrki, V., Maanpää, J., Taher, J., and J. Hyyppä, 2022. Towards High-Definition Maps: a Framework Leveraging Semantic Segmentation to Improve NDT Map Compression and Descriptivity. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 2022, pp. 5370-5377. https://doi.org/10.1109/IROS47612.2022.9982050 Full text available: http://urn.fi/URN:NBN:fi-fe2023032232809

Nex, F., Armenakis, C., Cramer, M., Cucci, D.A., Gerke, M., Honkavaara, E., Kukko, A., Persello, C., and J. Skaloud, 2022. UAV in the advent of the twenties: Where we stand and what is next. ISPRS Journal of Photogrammetry and Remote Sensing, 184:215-242. https://doi.org/10.1016/j.isprsjprs.2021.12.006

Pohjavirta, O., Liang, X., Wang, Y., Kukko, A., Pyörälä, J., Hyyppä, E., Yu, X., Kaartinen, H., and J. Hyyppä, 2022. Automated registration of wide-baseline point clouds in forests using discrete overlap search. Forest Ecosystems, 9, 100080. https://doi.org/10.1016/j.fecs.2022.100080

Poorazimy, M., Ronoud, G., Yu, X., Luoma, V., Hyyppä, J., Saarinen, N., Kankare, V., and M. Vastaranta, 2022. Feasibility of Bi-Temporal Airborne Laser Scanning Data in Detecting Species-Specific Individual Tree Crown Growth of Boreal Forests. Remote Sensing, 14(19), 4845. https://doi.org/10.3390/rs14194845

Ronoud, G., Poorazimy, M., Yrttimaa, T., Luoma, V., Huuskonen, S., Hynynen, J., Hyyppä, J., Saarinen, N., Kankare, V., and M. Vastaranta, 2022. Terrestrial Laser Scanning in Assessing the Effect of Different Thinning Treatments on the Competition of Scots Pine (Pinus sylvestris L.) Forests. Remote Sensing, 14(20), 5196. https://doi.org/10.3390/rs14205196

Rönnholm, P., Wittke, S., Ingman, M., Putkiranta, P., Kauhanen, H., Kaartinen, H., and M.T. Vaaja, 2022. Utilising Simulated Tree Data to Train Supervised Classifiers. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLIII-B2-2022, 633–639. XXIV ISPRS Congress, Commission II. https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-633-2022

Saarinen, N., Kankare, V., Huuskonen, S., Hynynen, J., Bianchi, S., Yrttimaa, T., Luoma, V., Junttila, S., Holopainen, M., Hyyppä, J., and M. Vastaranta, 2022. Effects of Stem Density on Crown Architecture of Scots Pine Trees. Frontiers in Plant Science, 13. https://doi.org/10.3389/fpls.2022.817792    

Salmela, J., Saarni, S., Blåfield, L., Katainen, M., Kasvi, E., and P. Alho, 2022. Comparison of cold season sedimentation dynamics in the non-tidal estuary of the Northern Baltic Sea. Marine Geology, 443, 106701. https://doi.org/10.1016/j.margeo.2021.106701

Santos, L.D., Tommaselli, A.M.G., Berveglieri, A., Imai, N.N., Oliveira, R.A. and E. Honkavaara, 2022. Geometric calibration of a hyperspectral frame camera with simultaneous determination of sensors misalignment. ISPRS Open Journal of Photogrammetry and Remote Sensing, 4, 100015. https://doi.org/10.1016/j.ophoto.2022.100015

Shao, H., Cao, Z., Li, W., Chen, Y., Jiang, C., Hyyppä, J., Chen, J., and  L. Sun, 2022. Feasibility Study of Wood-Leaf Separation Based on Hyperspectral LiDAR Technology in Indoor Circumstances. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15: 729-738. https://doi.org/10.1109/JSTARS.2021.3134651

Shao, H., Sa, B., Li, W., Chen, Y., Liu, L., Chen, J., Sun, L., and Y. Hu, 2022. A design and implementation of full waveform hyperspectral LiDAR for ancient architecture modelling. Infrared and Laser Engineering, 51(8), 20210786. https://doi.org/10.3788/IRLA20210786

Simula, J., Holopainen, M., and M. Imangholiloo, 2022. Utilizing single photon laser scanning data for estimating individual tree attributes. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-2-2022, 431–438. https://doi.org/10.5194/isprs-annals-V-2-2022-431-2022

Soininen, V., Kukko, A., Yu, X., Kaartinen, H., Luoma, V., Saikkonen, O., Holopainen, M., Matikainen, L., Lehtomäki, M., and J. Hyyppä, 2022. Predicting Growth of Individual Trees Directly and Indirectly Using 20-Year Bitemporal Airborne Laser Scanning Point Cloud Data. Forests, 13(12), 2040. https://doi.org/10.3390/f13122040

Sun, H., Liu, X., Zhao, L., Jia, J., Jiang, C., Xiao, J., Chen, Y., Xu, L., Duan, Z., Rao, P., and S. Sun, 2022. Mid-long wavelength infrared absorptance of hyperdoped silicon via femtosecond laser microstructuring. Optics Express, 30(2): 1808-1817. https://doi.org/10.1364/OE.446283

Sun, H., Wang, Z., Chen, Y., Tian, W., He, W., Wu, H., Zhang, H., Tang, L., Jiang, C., Jia, J., Duan, Z., Zhou, H., Puttonen, E., and J. Hyyppä, 2022. Preliminary verification of hyperspectral LiDAR covering VIS-NIR-SWIR used for objects classification. European Journal of Remote Sensing, 55(1): 291-303. https://doi.org/10.1080/22797254.2022.2056519

Taher, J., Hakala, T., Jaakkola, A., Hyyti, H., Kukko, A., Manninen, P., Maanpää, J., and J. Hyyppä, 2022. Feasibility of Hyperspectral Single Photon Lidar for Robust Autonomous Vehicle Perception. Sensors, 22, 5759. https://doi.org/10.3390/s22155759

Tian, W., et al., 2022. Plant Species Classification Using Hyperspectral LiDAR with Convolutional Neural Network. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, pp. 1740-1743. https://doi.org/10.1109/IGARSS46834.2022.9883109

Tienaho, N., Yrttimaa, T., Kankare, V., Vastaranta, M., Luoma, V., Honkavaara, E., Koivumäki, N., Huuskonen, S., Hynynen, J., Holopainen, M., Hyyppä, J., and N. Saarinen, 2022. Assessing Structural Complexity of Individual Scots Pine Trees by Comparing Terrestrial Laser Scanning and Photogrammetric Point Clouds. Forests, 13(8), 1305. https://doi.org/10.3390/f13081305

Tolometti, G.D., Neish, C.D., Hamilton, C.W., Osinski, G.R., Kukko, A., and J.R.C. Voigt, 2022. Differentiating Fissure‐Fed Lava Flow Types and Facies Using RADAR and LiDAR: An Example From the 2014–2015 Holuhraun Lava Flow‐Field. Journal of Geophysical Research: Solid Earth, 127(7), e2021JB023419. https://doi.org/10.1029/2021jb023419

Vastaranta, M., Wulder, M.A., Hamari, J., Hyyppä, J., and S. Junttila, 2022. Forest Data to Insights and Experiences Using Gamification. Frontiers in Forests and Global Change, 5, 799346. https://doi.org/10.3389/ffgc.2022.799346

Wang, D., Puttonen, E., and E. Casella, 2022. PlantMove: A tool for quantifying motion fields of plant movements from point cloud time series. International Journal of Applied Earth Observation and Geoinformation, 110, 102781. https://doi.org/10.1016/j.jag.2022.102781

Xu, D., Liu, J., Hyyppä, J., Liang, Y., and W. Tao, 2022. A heterogeneous 3D map-based place recognition solution using virtual LiDAR and a polar grid height coding image descriptor. ISPRS Journal of Photogrammetry and Remote Sensing, 183: 1-18. https://doi.org/10.1016/j.isprsjprs.2021.10.020

Xu, D., Liu, J.B., Liang, Y.F., Lv, X.F., and J. Hyyppä, 2022. A LiDAR-based single-shot global localization solution using a cross-section shape context descriptor. ISPRS Journal of Photogrammetry and Remote Sensing, 189:272-288, https://doi.org/10.1016/j.isprsjprs.2022.05.005

Xu, H., Wang, C., Bo, Y., Jiang, C., Liu, Y., Yang, S., and W. Lai, 2022. An Aerial and Ground Multi-Agent Cooperative Location Framework in GNSS-Challenged Environments. Remote Sensing, 14(19), 5055. https://doi.org/10.3390/rs14195055

Xue, T., Jia, J., Xie, H., Zhang, C., Deng, X., and Y. Wang, 2022. Kernel Minimum Noise Fraction Transformation-Based Background Separation Model for Hyperspectral Anomaly Detection. Remote Sensing, 14(20), 5157. https://doi.org/10.3390/rs14205157

Yang, F., Li, L.N., Xu, W.M., Liu, X.F., Cui, Z.C., Jia, L.C., Liu, Y., Xu, J.H., Chen, Y.W., Xu, X.S., Wang, J.Y., Qi, H., and R. Shu, 2022. Laser-induced breakdown spectroscopy combined with a convolutional neural network: A promising methodology for geochemical sample identification in Tianwen-1 Mars mission. Spectrochimica Acta Part B: Atomic Spectroscopy, 192, 106417. https://doi.org/10.1016/j.sab.2022.106417

Yang, F., Xu, W., Cui, Z., Liu, X., Xu, X., Jia, L., Chen, Y., Shu, R., and L. Li, 2022. Convolutional Neural Network Chemometrics for Rock Identification Based on Laser-Induced Breakdown Spectroscopy Data in Tianwen-1 Pre-Flight Experiments. Remote Sensing, 14(21), 5343. https://doi.org/10.3390/rs14215343

Yli-Heikkilä, M., Wittke, S., Luotamo, M., Puttonen, E., Sulkava, M., Pellikka, P., Heiskanen, J., and A. Klami, 2022. Scalable Crop Yield Prediction with Sentinel-2 Time Series and Temporal Convolutional Network. Remote Sensing, 14(17), 4193. https://doi.org/10.3390/rs14174193

Yrttimaa, T., Luoma, V., Saarinen, N., Kankare, V., Junttila, S., Holopainen, M., Hyyppä, J., and M. Vastaranta, 2022. Exploring tree growth allometry using two-date terrestrial laser scanning. Forest Ecology and Management, 518, 120303. https://doi.org/10.1016/j.foreco.2022.120303

Yue, Y., Koivula, H., Bilker-Koivula, M., Chen, Y., Chen, F., and G. Chen, 2022. TEC Anomalies Detection for Qinghai and Yunnan Earthquakes on 21 May 2021. Remote Sensing, 14(17), 4152. https://doi.org/10.3390/rs14174152

Zheng, X., Jia, J., Chen, J., Guo, S., Sun, L., Zhou, C., and Y. Wang, 2022. Hyperspectral Image Classification with Imbalanced Data Based on Semi-Supervised Learning. Applied Sciences, 12, 3943. https://doi.org/10.3390/app12083943

Zhu, L., Hattula, E., Raninen, J., and J. Hyyppä, 2022. Experiment on Producing Disparity Maps from Aerial Stereo Images Using Unsupervised and Supervised Methods. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLVIII-4/W1-2022, 561–568. Free and Open Source Software for Geospatial (FOSS4G) 2022 – Academic Track. https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-561-2022

Zhu, T., Zhou, H., Ma, Y., Li, S., and Y. Chen, 2022. A Synthetic Algorithm on the Skew-Normal Decomposition for Satellite LiDAR Waveforms. IEEE Transactions on Geoscience and Remote Sensing, 60, 5702115. https://doi.org/10.1109/TGRS.2022.3149752

2021

Amadi, M., Shcherbacheva, A., and H. Haario, 2021. Agent-based modelling of complex factors impacting malaria prevalence. Malaria Journal, 20(1), 185. https://doi.org/10.1186/s12936-021-03721-2

Balenović, I., Liang, X., Jurjević, L., Hyyppä, J., Seletković, A., and A. Kukko, 2021. Hand-Held Personal Laser Scanning - Current Status and Perspectives for Forest Inventory Application. Croatian Journal of Forest Engineering, 42(1): 165-183. https://doi.org/10.5552/crojfe.2021.858

Berveglieri, A., Imai, N.N., Christovam, L.E., Galo, M.L.B.T., Tommaselli, A.M.G., and E. Honkavaara, 2021. Analysis of trends and changes in the successional trajectories of tropical forest using the Landsat NDVI time series. Remote Sensing Applications: Society and Environment, 24, 100622. https://doi.org/10.1016/j.rsase.2021.100622

Berveglieri, A., Imai, N.N., Tommaselli, A.M.G., Martins-Neto, R.P., Miyoshi, G.T., and E. Honkavaara, 2021. Forest cover change analysis based on temporal gradients of the vertical structure and density. Ecological Indicators, 126, 107597. https://doi.org/10.1016/j.ecolind.2021.107597

Blåfield, L., Kirkkala, T. ja P. Alho, 2021. Jokiuoman kartoitus ja virtausolosuhteiden mallinnus tukena perkauksen suunnittelussa: esimerkkinä Eurajoki. Terra:Maantieteellinen Aikakauskirja, 133(2): 77-94. https://doi.org/10.30677/terra.101421

Brolly, G., Király, G., Lehtomäki, M., and X. Liang, 2021. Voxel-Based Automatic Tree Detection and Parameter Retrieval from Terrestrial Laser Scans for Plot-Wise Forest Inventory. Remote Sensing, 13(4), 542. https://doi.org/10.3390/rs13040542

Campos, M.B., Junttila, S., Shcherbacheva, A., Wang, Y., Liang, X., Hyyppä, J., and E. Puttonen, 2021. Perspectives on long-term TLS time-series to detect changes in tree crowns. Proceedings of the SilviLaser Conference, Vol 104, Vienna, Austria, 28–30th September 2021, pp. 105-107. https://doi.org/10.34726/wim.1931

Campos, M. B., Litkey, P., Wang, Y., Chen, Y., Hyyti, H., Hyyppä, J., and E. Puttonen, 2021. A Long-Term Terrestrial Laser Scanning Measurement Station to Continuously Monitor Structural and Phenological Dynamics of Boreal Forest Canopy. Frontiers in Plant Science, 11, 606752. https://doi.org/10.3389/fpls.2020.606752

Castanheiro, L.F., Garcia Tommaselli, A.M., Berveglieri, A., Campos, M.B., and J. Marcato Junior, 2021. Modeling Hyperhemispherical Points and Calibrating a Dual-Fish-Eye System for Close-Range Applications. Photogrammetric Engineering and Remote Sensing, 85(5): 375-384. https://doi.org/10.14358/PERS.87.5.375

Castanheiro, L.F., Tommaselli, A.M.G., Campos, M.B., and A. Berveglieri, 2021. Adaptive Weighting of Image Observations for Self-Calibration With Fisheye Images. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-1-2021, 5–9th July 2021, pp. 81-87. https://doi.org/10.5194/isprs-annals-V-1-2021-81-2021

Chen, C., Wu, X., Bo, Y., Chen, Y., Liu, Y., and F.E. Alsaadi, 2021. SARSA in extended Kalman Filter for complex urban environments positioning. International Journal of Systems Science. https://doi.org/10.1080/00207721.2021.1919337

Chen, L., Duan, Z., Li, W., Yang, G., Jia, J., Ma, L., Li, M., Zhong, Y., Sun, H., Jiang, C., and Y. Chen, 2021. Physical Properties and Boundary Influence of Singularity in Fluid Pipelines Based on Vibration Wave’s Transmission Characteristics. Journal of Pipeline Systems Engineering and Practice, 13(1), 04021066. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000608

Chen, S., Zhou, B., Jiang, C., Xue, W., and Q. Li, 2021. A LiDAR/Visual SLAM Backend with Loop Closure Detection and Graph Optimization. Remote Sensing, 13(14), 2720. https://doi.org/10.3390/rs13142720

Du, K., Huang, H., Feng, Z., Hakala, T., Chen, Y., and J. Hyyppä, 2021. Using Microwave Profile Radar to Estimate Forest Canopy Leaf Area Index: Linking 3D Radiative Transfer Model and Forest Gap Model. Remote Sensing, 13(2), 297. https://doi.org/10.3390/rs13020297

El Issaoui, A., Feng, Z., Lehtomäki, M., Hyyppä, E., Hyyppä, H., Kaartinen, H., Kukko, A., and J. Hyyppä, 2021. Feasibility of Mobile Laser Scanning towards Operational Accurate Road Rut Depth Measurements. Sensors, 21(4), 1180. https://doi.org/10.3390/s21041180

Garcia, T.A.C., Campos, M.B., Castanheiro, L.F., Maria, A., and G. Tommaselli, 2021. A Proposal to Integrate ORB-Slam Fisheye and Convolutional Neural Networks for Outdoor Terrestrial Mobile Mapping. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 11-16th July 2021. pp. 578-581. https://doi.org/10.1109/igarss47720.2021.9554752

He, W., Hu, J., Chen, Y., Pan, M., Zhu, Y., He, R., and L. Chuanrong, 2021. Real-time processing framework of common-aperture active and passive hyperspectral 3D imaging. Infrared and Laser Engineering, 50(2), 20200249. https://doi.org/10.3788/IRLA20200249

Hiremath, S., Wittke, S., Palosuo, T., Kaivosoja, J., Tao, F., Proll, M., Puttonen, E., Peltonen-Sainio, P., Marttinen, P., and H. Mamitsuka, 2021. Crop loss identification at field parcel scale using satellite remote sensing and machine learning. PLoS ONE, 16(12), e0251952. https://doi.org/10.1371/journal.pone.0251952

Hui, Z., Song, Li., and Y. Chen, 2021. Adjustment on the received optical power of a ground-based optical instrument by a corner cube retroreflector with a curved front-face. Applied Optics, 60(2): 405-412. https://doi.org/10.1364/ao.412481

Hyyppä, E., Muhojoki, J., Yu, X., Kukko, A., Kaartinen, H., and J. Hyyppä, 2021. Efficient coarse registration method using translation- and rotation-invariant local descriptors towards fully automated forest inventory. ISPRS Open Journal of Photogrammetry and Remote Sensing, 2, 100007. https://doi.org/10.1016/j.ophoto.2021.100007

Hyyppä, J., Yu, X., Hakala, T., Kaartinen, H., Kukko, A., Hyyti, H., Muhojoki, J., and E. Hyyppä, 2021. Under-Canopy UAV Laser Scanning Providing Canopy Height and Stem Volume Accurately. Forests, 12(7), 856. https://doi.org/10.3390/f12070856

Jaalama, K., Fagerholm, N., Julin, A., Virtanen, J.-P., Maksimainen, M., and H. Hyyppä, 2021. Sense of presence and sense of place in perceiving a 3D geovisualization for communication in urban planning – Differences introduced by prior familiarity with the place. Landscape and Urban Planning, 207, 103996. https://doi.org/10.1016/j.landurbplan.2020.103996

Jaalama, K., Kauhanen, H., Keitaanniemi, A., Rantanen, T., Virtanen, J.-P., Julin, A., Vaaja, M., Ingman, M., Ahlavuo, M., and H. Hyyppä, 2021. 3D Point Cloud Data in Conveying Information for Local Green Factor Assessment. ISPRS International Journal of Geo-Information, 10(11), 762. https://doi.org/10.3390/ijgi10110762

Jia, J., Chen, J., Zheng, X., Wang, Y., Guo, S., Sun, H., Jiang, C., Karjalainen, M., Karila, K., Duan, Z., Wang, T., Xu, C., Hyyppä, J., and Y. Chen, 2021. Tradeoffs in the Spatial and Spectral Resolution of Airborne Hyperspectral Imaging Systems: A Crop Identification Case Study. IEEE Transactions on Geoscience and Remote Sensing, 1-18. https://doi.org/10.1109/tgrs.2021.3096999

Jia, J., Jiang, C., Li, W., Wu, H., Chen, Y., Hu, P., Shao, H., Wang, S., Yang, F., Puttonen, E., and J. Hyyppä, 2021. Hyperspectral LiDAR-Based Plant Spectral Profiles Acquisition: Performance Assessment and Results Analysis. Remote Sensing, 13(13), 2521. https://doi.org/10.3390/rs13132521

Jia, J., Sun, H., Jiang, C., Karila, K., Karjalainen, M., Ahokas, E., Khoramshahi, E., Hu, P., Chen, C., Xue, T., Wang, T., Chen, Y., and J. Hyyppä, 2021. Review on Active and Passive Remote Sensing Techniques for Road Extraction. Remote Sensing, 13(21), 4235. https://doi.org/10.3390/rs13214235

Junior, J.M., Zamboni, P., Campos, M., Ramos, A., Osco, L., Silva, J., Gonçalves, W., and J. Li, 2021. Integration of Photogrammetry and Deep Learning in Earth Observation Applications. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 11-16th July 2021. pp. 574-577. https://doi.org/10.1109/igarss47720.2021.9554811

Junttila, S., Hölttä, T., Puttonen, E., Katoh, M., Vastaranta, M., Kaartinen, H., Holopainen, M., and H. Hyyppä, 2021. Terrestrial laser scanning intensity captures diurnal variation in leaf water potential. Remote Sensing of Environment, 255, 112274. https://doi.org/10.1016/j.rse.2020.112274

Kaivosoja, J., Hautsalo, J., Heikkinen, J., Hiltunen, L., Ruuttunen, P., Näsi, R., Niemeläinen, O., Lemsalu, M., Honkavaara, E., and J. Salonen, 2021. Reference Measurements in Developing UAV Systems for Detecting Pests, Weeds, and Diseases. Remote Sensing, 13(7), 1238. https://doi.org/10.3390/rs13071238

Keitaanniemi, A., Virtanen, J.-P., Rönnholm, P., Kukko, A., Rantanen, T., and M.T. Vaaja, 2021. The Combined Use of SLAM Laser Scanning and TLS for the 3D Indoor Mapping. Buildings, 11(9), 386. https://doi.org/10.3390/buildings11090386

Kukko, A., Kaartinen, H., Hyyppä, H. 2021. Liikkuva laserkeilaus kaupunkien maankäytön ja infrastruktuurin kartoituksessa. Maankäyttö, 2:2021, s. 28-30

Kukko, A., Kaartinen, H., Hyyppä, H. 2021. Liikkuvalla laserkeilauksella huipputarkkaa tietoa kaupungeista, Positio, 2:2021, s. 17-19

Kurkela, M., Maksimainen, M., Julin, A., Rantanen, T., Virtanen, J.-P., Hyyppä, J., Vaaja, M.T., and H. Hyyppä, 2021. Utilizing a Terrestrial Laser Scanner for 3D Luminance Measurement of Indoor Environments. Journal of Imaging, 7(5), 85.

Lehtomäki, M., 2021. Detection and Recognition of Objects from Mobile Laser Scanning Point Clouds: Case studies in a road environment and power line corridor. Aalto University publication series DOCTORAL DISSERTATIONS 91/2021, FGI Publications 164, pp. 89 + app. 85. https://urn.fi/URN:ISBN:978-952-64-0438-7

Liu, D., Jiang, C., and J. Zhu, 2021. A gradient descend method‐based none‐line‐of‐sight‐induced code delay searching in global navigation satellite system. IET Radar, Sonar & Navigation. https://doi.org/10.1049/rsn2.12137

Liu, J., Xu, D., Hyyppä, J., and Y. Liang, 2021. A Survey of Applications With Combined BIM and 3D Laser Scanning in the Life Cycle of Buildings. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14: 5627-5637. https://doi.org/10.1109/jstars.2021.3068796

Luoma, V., Yrttimaa, T., Kankare, V., Saarinen, N., Pyörälä, J., Kukko, A., Kaartinen, H., Hyyppä, J., Holopainen, M., and M. Vastaranta, 2021. Revealing Changes in the Stem Form and Volume Allocation in Diverse Boreal Forests Using Two-Date Terrestrial Laser Scanning. Forests, 12(7), 835. https://doi.org/10.3390/f12070835

Maanpää, J., Taher, J., Manninen, P., Pakola, L., Melekhov, I., and J. Hyyppä, 2021. Multimodal End-to-End Learning for Autonomous Steering in Adverse Road and Weather Conditions. 2020 25th International Conference on Pattern Recognition (ICPR), pp. 699-706. https://doi.org/10.1109/ICPR48806.2021.9413109

Manninen, T., Anttila, K., Jääskeläinen, E., Riihelä, A., Peltoniemi, J., Räisänen, P., Lahtinen, P., Siljamo, N., Thölix, L., Meinander, O., Kontu, A., Suokanerva, H., Pirazzini, R., Suomalainen, J., Hakala, T., Kaasalainen, S., Kaartinen, H., Kukko, A., Hautecoeur, O., and J.-L. Roujean, 2021. Effect of small-scale snow surface roughness on snow albedo and reflectance. The Cryosphere, 15(2): 793–820. https://doi.org/10.5194/tc-15-793-2021

Martins-Neto, R.P., Tommaselli, A.M.G., Imai, N.N., David, H.C., Miltiadou, M., and E. Honkavaara, 2021. Identification of Significative LiDAR Metrics and Comparison of Machine Learning Approaches for Estimating Stand and Diversity Variables in Heterogeneous Brazilian Atlantic Forest. Remote Sensing, 13(13), 2444. https://doi.org/10.3390/rs13132444

Näsi, R., 2021. Drone-based spectral and 3D remote sensing applications for forestry and agriculture. Aalto University publication series DOCTORAL DISSERTATIONS 168/2021, FGI Publications 165, pp. 78 + app. 122. https://urn.fi/URN:ISBN:978-952-64-0613-8

Pitkänen, T.P., Raumonen, P., Liang, X., Lehtomäki, M., and A. Kangas, 2021. Improving TLS-based stem volume estimates by field measurements. Computers and Electronics in Agriculture, 180, 105882. https://doi.org/10.1016/j.compag.2020.105882

Putkiranta, P., Kurkela, M., Ingman, M., Keitaanniemi, A., El Issaoui, A., Kaartinen, H., Honkavaara, E., Hyyppä, H., Hyyppä, J., and M.T. Vaaja, 2021. Performance Assessment of Reference Modelling Methods for Defect Evaluation in Asphalt Concrete. Sensors, 21(24), 8190. https://doi.org/10.3390/s21248190

Suomalainen, J., Oliveira, R.A., Hakala, T., Koivumäki, N., Markelin, L., Näsi, R., and E. Honkavaara, 2021. Direct reflectance transformation methodology for drone-based hyperspectral imaging. Remote Sensing of Environment, 266, 112691, https://doi.org/10.1016/j.rse.2021.112691

Tian, W.X., Tang, L.L., Chen, Y.W., Li, Z.Y., Zhu, J.J., Jiang, C.H., Hu, P.L., He, W.J., Wu, H.H., Pan, M.M., Lu, J., and J. Hyyppä, 2021. Analysis and Radiometric Calibration for Backscatter Intensity of Hyperspectral LiDAR Caused by Incident Angle Effect. Sensors, 21(9), 2960. https://doi.org/10.3390/s21092960

Virtanen, J.-P., Jaalama, K., Puustinen, T., Julin, A., Hyyppä, J., and H. Hyyppä, 2021. Near Real-Time Semantic View Analysis of 3D City Models in Web Browser. ISPRS International Journal of Geo-information, 10(3), 138. https://doi.org/10.3390/ijgi10030138

Virtanen, J.-P., Julin, A., Jaalama, K., and H. Hyyppä, 2021. Creating Open Online Applications with Geospatial Interfaces - Case Study "Palvelututka". Photogrammetric Journal of Finland, 27(2). https://doi.org/10.17690/021272.1

Virtanen, J.-P.,  Kaartinen, H., Julin, A., Rantanen, T., and H. Hyyppä, 2021. 3D-paikkatieto, pistepilvet ja älykkäät kaupungit. Maankäyttö, (1:2021): 4-7.

Virtanen, J.-P., Turppa, T., Julin, A., and J. Hyyppä, 2021. The Use of Dense Geospatial Point Clouds in Virtual Reality - Visualizing Point Clouds in Game Engines. GIM International - The Worldwide Magazine for Geomatics, 35(16): 16-19

Wang, D., Liang, X., Mofack, G., and O. Martin-Ducup, 2021. Individual tree extraction from terrestrial laser scanning data via graph pathing. Forest Ecosystems, 8(1), 67. https://doi.org/10.1186/s40663-021-00340-w

Wang, N., Suomalainen, J., Bartholomeus, H., Kooistra, L., Masiliūnas, D., and J.G.P.W. Clevers, 2021. Diurnal variation of sun-induced chlorophyll fluorescence of agricultural crops observed from a point-based spectrometer on a UAV. International Journal of Applied Earth Observation and Geoinformation, 96, 102276. https://doi.org/10.1016/j.jag.2020.102276

Wang, Y., Kukko, A., Hyyppä, E., Hakala, T., Pyörälä, J., Lehtomäki, M., El Issaoui, A., Yu, X., Kaartinen, H., Liang, X., and J. Hyyppä, 2021. Seamless integration of above- and under-canopy unmanned aerial vehicle laser scanning for forest investigation. Forest Ecosystems, 8(1), 10. https://doi.org/10.1186/s40663-021-00290-3

Xu, S., Atherton, J., Riikonen, A., Zhang, C., Oivukkamäki, J., MacArthur, A., Honkavaara, E., Hakala, T., Koivumäki, N., Liu, Z., and A. Porcar-Castell, 2021. Structural and photosynthetic dynamics mediate the response of SIF to water stress in a potato crop. Remote Sensing of Environment, 263, 112555. https://doi.org/10.1016/j.rse.2021.112555

Xue, T., Wang, Y., Chen, Y., Jia, J., Wen, M., Guo, R., Wu, T., and X. Deng, 2021. Mixed Noise Estimation Model for Optimized Kernel Minimum Noise Fraction Transformation in Hyperspectral Image Dimensionality Reduction. Remote Sensing, 13(13), 2607. https://doi.org/10.3390/rs13132607

Zhang, Z., Liu, J., Wang, L., Guo, G., Zheng, X., Gong, X., Yang, S., and G. Huang, 2021. An Enhanced Smartphone Indoor Positioning Scheme with Outlier Removal Using Machine Learning. Remote Sensing,13(6), 1106. https://doi.org/10.3390/rs13061106

Zheng, X., Jia, J., Guo, S., Chen, J., Sun, L., Xiong, Y., and W. Xu, 2021. Full Parameter Time Complexity (FPTC): A Method to Evaluate the Running Time of Machine Learning Classifiers for Land Use/Land Cover Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14: 2222-2235. https://doi.org/10.1109/JSTARS.2021.3050166

Zhou, H., Chen, Y.W., Hakala, T., Feng, Z.Y., Jiang, C.H., Jia, J.N., Sun, H.B., and J. Hyyppä, 2021. The Penetration Analysis of Airborne Ku-Band Radar Versus Satellite Infrared Lidar Based on the Height and Energy Percentiles in the Boreal Forest. Remote Sensing, 13(9), 1650. https://doi.org/10.3390/rs13091650

2020

Ahlavuo, M., Hyyppä, H., Handolin, H., Aho, S., Rantanen, T. ja M. Kurkela, 2020. Kokemuksia museon virtualisoinnista pandemia-aikana. Maankäyttö, 2:2020, s. 10-13

Ahlavuo, M., Hyyppä, H., Handolin, H., Virtanen, J.-P., Julin, A., Aho, S., Rantanen, T., Turppa, T. ja M. Kurkela, 2020. Visualisointeja tieteen, taiteen ja talouden välimaastossa: 3D-artisti. Maankäyttö, 2:2020, s. 26-29

Ahlavuo, M., Hyyppä, H., Hyyppä, J., Kukko, A., Kaartinen, H., Rönnholm, P., Vastaranta, M., Holopainen, M., Yu, X., and H. Haggrén, 2020. Suomen Akatemian laserkeilauksen huippuyksikön vaikuttavuus. Maankäyttö, 3

Ahlavuo, M., Hyyppä, H., Kurkela, M., Aho, S., Handolin, H., Virtanen, J.-P., Jaalama, K., Aunio, P., Eskelinen, T. ja M. Kätkä, 2020. Kohti kulttuurialan digitaalisia kaksosia. Teoksessa: Talvela, J., Hyyppä, H., Ahlavuo, M., Kurkela, M. (toim.), Luovien alojen nykytila, näkymät ja kasvupotentiaali Creve 2.0 - Yrityspalvelut ja yhteistyömallit hankkeen tuloksia ja visioita. Aalto-yliopisto, CROSSOVER (17): 139-153.

Anders, N., Smith, M., Suomalainen, J., Cammeraat, E., Valente, J., and S. Keesstra, 2020. Impact of flight altitude and cover orientation on Digital Surface Model (DSM) accuracy for flood damage assessment in Murcia (Spain) using a fixed-wing UAV. Earth Science Informatics, 13(2): 391-404. https://doi.org/10.1007/s12145-019-00427-7

Annala, L., Honkavaara, E., Tuominen, S., and I. Pölönen, 2020. Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion. Remote Sensing, 12(2), 283. https://doi.org/10.3390/rs12020283

Calle, M., Calle, J., Alho, P., and G. Benito, 2020.  Inferring sediment transfers and functional connectivity of rivers from repeat topographic surveys. Earth Surface Processes and Landforms, 45(3): 681-693. https://doi.org/10.1002/esp.4765

Campos, M., Litkey, P., Wang, Y., Chen, Y., Hyyti, H., Hyyppä, J., and E. Puttonen, 2020. A Terrestrial Laser Scanning Measurement Station to Monitor Long-Term Structural Dynamics in a Boreal Forest. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020: 27–31. https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-27-2020

Cao, L., Wang, Y., and H. Tang, 2020. Special Section Guest Editorial: Advances in Remote Sensing for Forest Structure and Functions. Journal of Applied Remote Sensing, 14(2): 1-2, 022201. https://doi.org/10.1117/1.jrs.14.022201

Chen, Y., 2020. Environment Awareness with Hyperspectral LiDAR Technologies. Aalto University publication series: DOCTORAL DISSERTATIONS, 156/2020, 174 p. https://aaltodoc.aalto.fi/handle/123456789/47576

Chen, Y., Feng, Z., Li, F., Zhou, H., Hakala, T., Karjalainen, M., and J. Hyyppä, 2020. Lidar-aided analysis of boreal forest backscatter at Ku band. International Journal of Applied Earth Observation and Geoinformation, 91, 102133. https://doi.org/10.1016/j.jag.2020.102133

Dai, W., Yang, B., Liang, X., Dong, Z., Huang, R., Wang, Y., Pyörälä, J., and A. Kukko, 2020. Fast registration of forest terrestrial laser scans using key points detected from crowns and stems. International Journal of Digital Earth. https://doi.org/10.1080/17538947.2020.1764118

Dong, Z., Liang, F.X., Yang, B.S., Xu, Y.S., Zang, Y.F., Li, J.P., Wang, Y., Dai, W.X., Fan, H.C., Hyyppä, J., and U. Stilla, 2020. Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark. ISPRS Journal of Photogrammetry and Remote Sensing, 163: 327-342. https://doi.org/10.1016/j.isprsjprs.2020.03.013

Du, K., Huang, H., Zhu, Y., Feng, Z., Hakala, T., Chen, Y., and J. Hyyppä, 2020. Simulation of Ku-Band Profile Radar Waveform by Extending Radiosity Applicable to Porous Individual Objects (RAPID2) Model. Remote Sensing, 12(4), 684. https://doi.org/10.3390/rs12040684

El-Mahgary, S., Virtanen, J.-P., and H. Hyyppä, 2020. A Simple Semantic-Based Data Storage Layout for Querying Point Clouds. ISPRS International Journal of Geo-Information, 9(2), 72. https://doi.org/10.3390/ijgi9020072

Hakala, T., Pölönen, I., Honkavaara, E., Näsi, R., Hakala, T., and A. Lindfors, 2020. Using Aerial Platforms in Predicting Water Quality Parameters from Hyperspectral Imaging Data with Deep Neural Networks. In: Diez, P., Neittaanmäki, P., Periaux, J., Tuovinen, T., and Pons-Prats, J. (Eds.). Computation and Big Data for Transport. Computational Methods in Applied Sciences, vol 54. Springer, Cham. https://doi.org/10.1007/978-3-030-37752-6_13

Hernandez-Pajares, M., Lyu, H., Aragon-Angel, A., Monte-Moreno, E., Liu, J., An, J., and H. Jiang, 2020. Polar Electron Content From GPS Data-Based Global Ionospheric Maps: Assessment, Case Studies, and Climatology. Journal of Geophysical Research: Space Physics, 125(6), e2019JA027677. https://doi.org/10.1029/2019JA027677

Herrero-Huerta, M., Bucksch, A., Puttonen, E., and K.M. Rainey, 2020. Canopy Roughness: A New Phenotypic Trait to Estimate Aboveground Biomass from Unmanned Aerial System. Plant Phenomics, 2020: 1-10, 6735967. https://doi.org/10.34133/2020/6735967

Honkavaara, E., Näsi, R., Oliveira, R. A., Niemeläinen, O., Viljanen, N., Hakala, T., and J. Kaivosoja, 2020. Precision agriculture in practice – utilisation of novel remote sensing technologies in grass silage production. Proceedings of the 28th General Meeting on "Meeting the future demands for grassland production”, Grassland Science in Europe, 25: 583-592. https://www.europeangrassland.org/fileadmin/documents/Infos/Printed_Matter/Proceedings/EGF2020.pdf

Honkavaara, E., Näsi, R., Oliveira, R., Viljanen, N., Suomalainen, J., Khoramshahi, E., Hakala, T., Nevalainen, O., Markelin, L., Vuorinen, M., Kankaanhuhta, V., Lyytikäinen-Saarenmaa, P., and L. Haataja, 2020. Using multitemporal hyper- and multispectral UAV imaging for detecting bark beetle infestation on Norway spruce. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B3-2020, 2020. https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-429-2020

Hu, P., Chen, Y., Jiang, C., Lin, Q., Li, W., Qi, J., Yu, L., Shao, H., and H. Huang, 2020. Spectral observation and classification of typical tree species leaves based on indoor hyperspectral lidar. Journal of Infrared and Millimeter Waves, 39(3): 372-380. https://doi.org/10.11972/j.issn.1001-9014.2020.03.016

Hu, P.L., Huang, H.G., Chen, Y.W., Qi, J.B., Li, Wei; Jiang, C.H., Wu, H.H., Tian, W.X., and J. Hyyppä, 2020. Analyzing the Angle Effect of Leaf Reflectance Measured by Indoor Hyperspectral Light Detection and Ranging (LiDAR). Remote Sensing, 12(6), 919. https://doi.org/10.3390/rs12060919

Hyyppä, E., Hyyppä, J., Hakala, T., Kukko, A., Wulder, M., White, J.C., Pyörälä, J., Yu, X., Wang, Y., Virtanen, J.-P., Pohjavirta, O., Liang, X., Holopainen, M., and H. Kaartinen, 2020. Under-canopy UAV laser scanning for accurate forest field measurements. ISPRS Journal of Photogrammetry and Remote Sensing, 164: 41-60. https://doi.org/10.1016/j.isprsjprs.2020.03.021

Hyyppä, E., Kukko, A., Kaijaluoto, R., White, J.C., Wulder, M.A., Pyörälä, J., Liang, X., Yu, X., Wang, Y., Kaartinen, H., Virtanen, J.-P., and J. Hyyppä, 2020. Accurate derivation of stem curve and volume using backpack mobile laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing, 161: 246-262. https://doi.org/10.1016/j.isprsjprs.2020.01.018

Hyyppä, E., Yu, X., Kaartinen, H., Hakala, T., Kukko, A., Vastaranta, M., and J. Hyyppä, 2020. Comparison of Backpack, Handheld, Under-Canopy UAV, and Above-Canopy UAV Laser Scanning for Field Reference Data Collection in Boreal Forests. Remote Sensing, 12(20), 3327. https://doi.org/10.3390/rs12203327

Imangholiloo, M., Saarinen, N., Holopainen, M., Yu, X., Hyyppä, J., and M. Vastaranta, 2020. Using Leaf-Off and Leaf-On Multispectral Airborne Laser Scanning Data to Characterize Seedling Stands. Remote Sensing, 12(20), 3328. https://doi.org/10.3390/rs12203328

Ingman, M., Virtanen, J.-P., Vaaja, M.T., and H. Hyyppä, 2020. A Comparison of Low-Cost Sensor Systems in Automatic Cloud-Based Indoor 3D Modeling. Remote Sensing, 12(16), 2624. https://doi.org/10.3390/rs12162624

Jia, J., Sun, H., Jiang, C., Xue, T., Wang, Y., Chen, J., and Y. Chen, 2020. Road extraction technology based on multi-source remote sensing data: review and prospects. Proceedings of The 5th Symposium on Hyperspectral Technology and Its Applications of Chinese Society for Optical Engineering, CSOE.

Jiang, C., Chen, S., Chen, Y., Liu, D., and Y. Bo, 2020. A GNSS Vector Tracking Method using Graph Optimization. IEEE Transactions on Circuits and Systems Part II-Express Briefs. https://doi.org/10.1109/tcsii.2020.3025455

Jiang, C., Chen, S., Chen, Y., Liu, D., and Y. Bo, 2020. An UWB Channel Impulse Response De-Noising Method for NLOS/LOS Classification Boosting. IEEE Communications Letters, 24(11): 2513-2517. https://doi.org/10.1109/LCOMM.2020.3009659

Jiang, C., Chen, S., Chen, Y., Shen, J., Liu, D., and Y. Bo, 2020. Superior Position Estimation Based on Optimization in GNSS. IEEE Communications Letters. https://doi.org/10.1109/lcomm.2020.3024791

Jiang, C., Chen, Y., Chen, S., Bo, Y., Feng, Z., and H. Zhou, 2020. Distributed processing method for multi-GNSS/SINS integration system. IET Science Measurement and Technology, 14(7): 755-761. https://doi.org/10.1049/iet-smt.2018.5543

Jiang, C., Chen, Y., Tian, W., Wu, H., Li, W., Zhou, H., Shao, H., Song, S., Puttonen, E., and J. Hyyppä, 2020. A practical method for employing multi-spectral LiDAR intensities in points cloud classification. International Journal of Remote Sensing, 41(21): 8366-8379. https://doi.org/10.1080/01431161.2020.1775323

Jiang, C., Shen, J., Chen, S., Chen, Y., Liu, D., and Y. Bo, 2020. UWB NLOS/LOS Classification Using Deep Learning Method. IEEE Communications Letters, 24(10): 2226-2230. https://doi.org/10.1109/lcomm.2020.2999904

Julin, A., Kurkela, M., Rantanen, T., Virtanen, J.-P., Maksimainen, M., Kukko, A., Kaartinen, H., Vaaja, M.T., Hyyppä, J., and H. Hyyppä, 2020. Evaluating the Quality of TLS Point Cloud Colorization. Remote Sensing, 12(17), 2748. https://doi.org/10.3390/rs12172748

Julin, A., Virtanen, J.-P., Jaalama, K. ja E. Airaksinen, 2020. Emerging Web and Game Engine Tech for 3D Cities. GIM International. https://www.gim-international.com/content/article/emerging-web-and-game-engine-tech-for-3d-cities

Jurjević, L., Liang, X., Gašparović, M., and I. Balenović, 2020. Is field-measured tree height as reliable as believed – Part II, A comparison study of tree height estimates from conventional field measurement and low-cost close-range remote sensing in a deciduous forest. ISPRS Journal of Photogrammetry and Remote Sensing, 169: 227-241. https://doi.org/10.1016/j.isprsjprs.2020.09.014

Keitaanniemi, A., Kukko, A., Virtanen, J.-P., and M.T. Vaaja, 2020. Measurement Strategies for Street-Level SLAM Laser Scanning of Urban Environments. Photogrammetric Journal of Finland, 27(1): 1-19. https://doi.org/10.17690/020271.1

Khoramshahi, E., Oliveira, R.A., Koivumäki, N., and E. Honkavaara, 2020. An Image-Based Real-Time Georeferencing Scheme for a UAV Based on a New Angular Parametrization. Remote Sensing, 12(19), 3185. https://doi.org/10.3390/rs12193185

Kukko, A., Kaartinen, H., and H. Hyyppä, 2020. Kinematic Laser Scanning for Urban Planning and Infrastructure. GIM International - The Worldwide Magazine for Geomatics, 34(4): 31-35.

Kurkela, M., Maksimainen, M., Julin, A., Virtanen, J.-P., Männistö, I., Vaaja, M.T., and H. Hyyppä, 2020. Applying photogrammetry to reconstruct 3D luminance point clouds of indoor environments. Architectural Engineering and Design Management. https://doi.org/10.1080/17452007.2020.1862041

Lotsari, E., Dietze, M., Kamari, M., Alho, P., and E. Kasvi, 2020. Macro-Turbulent Flow and Its Impacts on Sediment Transport Potential of a Subarctic River during Ice-Covered and Open-Channel Conditions. Water, 12(7), 1874. https://doi.org/10.3390/w12071874

Lotsari, E., Hackney, C., Salmela, J., Kasvi, E., Kemp, J., Alho, P., and S.E. Darby, 2020. Sub-arctic river bank dynamics and driving processes during the open-channel flow period. Earth Surface Processes and Landforms. https://doi.org/10.1002/esp.4796

Maksimainen, M., Vaaja, M.T., Kurkela, M., Virtanen, J.-P., Julin, A., Jaalama, K., and H. Hyyppä, 2020. Nighttime Mobile Laser Scanning and 3D Luminance Measurement: Verifying the Outcome of Roadside Tree Pruning with Mobile Measurement of the Road Environment. ISPRS International Journal of Geo-Information, 9(7), 455. https://doi.org/10.3390/ijgi9070455

Matikainen, L., Karila, K., Litkey, P., Ahokas, E., and J. Hyyppä, 2020. Combining single photon and multispectral airborne laser scanning for land cover classification. ISPRS Journal of Photogrammetry and Remote Sensing, 164: 200-216. https://doi.org/10.1016/j.isprsjprs.2020.04.021

Miyoshi, G. T., Arruda, M. d. S., Osco, L. P., Marcato, J. J., Goncalves, D. N., Imai, N. N., Garcia Tommaselli, A. M., Honkavaara, E., and W. N. Goncalves, 2020.  A Novel Deep Learning Method to Identify Single Tree Species in UAV-Based Hyperspectral Images. Remote Sensing, 12(8), 1294. https://doi.org/10.3390/rs12081294

Miyoshi, G.T., Imai, N.N., Garcia Tommaselli, A.M., Antunes de Moraes, M.V., and E. Honkavaara, 2020. Evaluation of Hyperspectral Multitemporal Information to Improve Tree Species Identification in the Highly Diverse Atlantic Forest. Remote Sensing, 12(2), 244. https://doi.org/10.3390/rs12020244

Nezami, S., Khoramshahi, E., Nevalainen, O., Pölönen, I., and E. Honkavaara, 2020. Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks. Remote Sensing, 12(7), 1070. https://doi.org/10.3390/rs12071070

Oliveira, R. A., Näsi, R., Niemeläinen, O., Nyholm, L., Alhonoja, K., Kaivosoja, J., Jauhiainen, L., Viljanen, N., Nezami, S., Markelin, L., Hakala, T., and E. Honkavaara, 2020. Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry. Remote Sensing of Environment, 246, 111830. https://doi.org/10.1016/j.rse.2020.111830

Pei, L., Liu, K., Zou, D.P., Tao, L., Wu, Q., Zhu, Y.F., Li, Y., He, Z., Chen, Y.W., and D. Sartori, 2020. IVPR: An Instant Visual Place Recognition Approach Based on Structural Lines in Manhattan World. IEEE Transactions on Instrumentation and Measurement, 69(7): 4173-4187, Part 1. https://doi.org/10.1109/TIM.2019.2941359

Saarinen, N., Kankare, V., Yrttimaa, T., Viljanen, N., Honkavaara, E., Holopainen, M., Hyyppä, J., Huuskonen, S., Hynynen, J., and M. Vastaranta, 2020. Assessing the effects of thinning on stem growth allocation of individual Scots pine trees. Forest Ecology and Management, 474, 118344. https://doi.org/10.1016/j.foreco.2020.118344

Salmela, J., Kasvi, E., and P. Alho, 2020. River plume and sediment transport seasonality in a non-tidal semi-enclosed brackish water estuary of the Baltic Sea. Estuarine, Coastal and Shelf Science, 245, 106986. https://doi.org/10.1016/j.ecss.2020.106986

Salmela, J., Kasvi, E., Vaaja, M.T., Kaartinen, H., Kukko, A., Jaakkola, A., and P. Alho, 2020. Morphological changes and riffle-pool dynamics related to flow in a meandering river channel based on a 5-year monitoring period using close-range remote sensing. Geomorphology, 352, 106982. https://doi.org/10.1016/j.geomorph.2019.106982

Shao, H., Chen, Y.W., Li, W., Jiang, C.H., Wu, H.H., Chen, J., Pan, B.L., and J. Hyyppä, 2020. An Investigation of Spectral Band Selection for Hyperspectral LiDAR Technique. Electronics, 9(1), 148. https://doi.org/10.3390/electronics9010148

Shao, H., Chen, Y.W., Yang, Z., Jiang, C., Li, W., Wu, H., Wang, S., Yang, F., Chen, J., Puttonen, E., and J. Hyyppä, 2020. Feasibility Study on Hyperspectral LiDAR for Ancient Huizhou-Style Architecture Preservation. Remote Sensing, 12(1), 88. https://doi.org/10.3390/rs12010088

Shao, H., Chen, Y., Yang, Z., Jiang, C., Li, W., Wu, H., Wen, Z., Wang, S., Puttonen, E., and J. Hyyppä, 2020. A 91-Channel Hyperspectral LiDAR for Coal/Rock Classification. IEEE Geoscience and Remote Sensing Letters, 17(6): 1051-1056. https://doi.org/10.1109/LGRS.2019.2937720

Song, S.-J., Chen, Y.-W., Hu, H.-J., Hu, J.-Y., Gong, Y.-M., and H. Shao, 2020. The feasibility study of wavelength selection of multi-spectral LiDAR for autonomous driving. Journal of Infrared and Millimeter Waves, 39(1): 86-91. https://doi.org/10.11972/j.issn.1001-9014.2020.01.012

Tian, W., Tang, L., Jiang, C., Hu, P., He, W., Wu, H., Pan, M., and Y. Chen, 2020. Intensity data correction method based on incidence angle effect for Hyperspectral LiDAR. Proceedings of the 6th LiDAR National Conference (China).

Vaaja, M.T., Maksimainen, M., Kurkela, M., Virtanen, J.-P., Rantanen, T., and H. Hyyppä, 2020. Approaches for Mapping Night-Time Road Environment Lighting Conditions, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-1-2020, 199–205. https://doi.org/10.5194/isprs-annals-V-1-2020-199-2020

Virtanen, J.-P., Daniel, S., Turppa, T., Zhu, L., Julin, A., Hyyppä, H., and J. Hyyppä, 2020. Interactive dense point clouds in a game engine. ISPRS Journal of Photogrammetry and Remote Sensing, 163: 375-389. https://doi.org/10.1016/j.isprsjprs.2020.03.007

Virtanen, J.-P., Julin, A., Handolin, H., Rantanen, T., Maksimainen, M., Hyyppä, J., and H. Hyyppä, 2020. Interactive Geo-Information in Virtual Reality – Observations and Future Challenges. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIV-4/W1-2020, 159–165. https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-159-2020

Wu, Z.Y., Chen, F.L., Xuan, Z.Y., Chen, Y.W., Shi, W.Z., Liu, X.X., and S.W. Wang, 2020. High energy efficient and thermally stable solar selective absorber constructed with TiNxOy based multilayers. Optical Materials Express, 10(3): 733-741. https://doi.org/10.1364/OME.384483

Xue, W., Yu, K., Li, Q., Zhou, B., Zhu, J., Chen, Y., Qiu, W., Hua, X., Ma, W., and Z. Chen, 2020. Eight-Diagram Based Access Point Selection Algorithm for Indoor Localization. IEEE Transactions on Vehicular Technology, 69(11): 13196-13205. https://doi.org/10.1109/TVT.2020.3021090

Yao, H., Shu, H., Liang, X., Yan, H., and H. Sun, 2020. Integrity Monitoring for Bluetooth Low Energy Beacons RSSI Based Indoor Positioning. IEEE Access, 8: 215173-215191. https://doi.org/10.1109/access.2020.3038894

Ye, W.F., Qian, C., Tang, J., Liu, H., Fan, X.Y., Liang, X., and H.J. Zhang, 2020. Improved 3D Stem Mapping Method and Elliptic Hypothesis-Based DBH Estimation from Terrestrial Laser Scanning Data. Remote Sensing, 12(3), 352. https://doi.org/10.3390/rs12030352

Yin, D., Zhang, Q., Liu, J., Liang, X., Wang, Y., Chen, S., Maanpää, J., Hyyppä, J., and R. Chen, 2020. Interest point detection from multi‐beam light detection and ranging point cloud using unsupervised convolutional neural network. IET Image Processing. https://doi.org/10.1049/ipr2.12027

Yrttimaa, T., Luoma, V., Saarinen, N., Kankare, V., Junttila, S., Holopainen, M., Hyyppä, J. and M. Vastaranta, 2020. Structural Changes in Boreal Forests Can Be Quantified Using Terrestrial Laser Scanning. Remote Sensing, 12(7), 2672. https://doi.org/10.3390/rs12172672

Yrttimaa, T., Saarinen, N., Kankare, V., Hynynen, J., Huuskonen, S., Holopainen, M., Hyyppä, J., and M. Vastaranta, 2020. Performance of terrestrial laser scanning to characterize managed Scots pine (Pinus sylvestris L.) stands is dependent on forest structural variation. ISPRS Journal of Photogrammetry and Remote Sensing, 168: 277-287. https://doi.org/10.1016/j.isprsjprs.2020.08.017

Yrttimaa, T., Saarinen, N., Kankare, V., Viljanen, N., Hynynen, J., Huuskonen, S., Holopainen, M., Hyyppä, J., Honkavaara, E., and M. Vastaranta, 2020. Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands. ISPRS International Journal of Geo-Information, 9(5), 309. https://doi.org/10.3390/ijgi9050309

Yu, X., Kukko, A., Kaartinen, H., Wang, Y., Liang, X., Matikainen, L., and J. Hyyppä, 2020. Comparing features of single and multi-photon lidar in boreal forests. ISPRS Journal of Photogrammetry and Remote Sensing, 168: 268-276. https://doi.org/10.1016/j.isprsjprs.2020.08.013

Zhang, W., Cai, S., Liang, X., Shao, J., Hu, R., Yu, S., and G. Yan, 2020. Cloth simulation-based construction of pit-free canopy height models from airborne LiDAR data. Forest Ecosystems, 7, 1. https://doi.org/10.1186/s40663-019-0212-0

Zhao, X., Yan, Y., Cui, Z., Liu, F., Wang, S., Sun, L., Chen, Y., and W. Lu, 2020. Realization of strong coupling between 2D excitons and cavity photons at room temperature. Optics Letters, 45(24): 6571-6574. https://doi.org/10.1364/ol.401330

Zhou, H., Chen, Y., Hu, N., Dong, Y., Xu, X., Feng, Z., Hakala, T., and J. Hyyppä, 2020. The Determination of Effective Beamwidth of Ku Band Profiling Radar Based on Waveform Matching Method in the Boreal Forest of Finland. Remote Sensing, 12(17), 2710. https://doi.org/10.3390/rs12172710

Zhou, H., Li, S., Zhang, W.H., and Y.W. Chen, 2020.  Far-field diffraction pattern of a nonideal retroreflector for polarized light with an oblique incidence. Applied Optics, 59(8): 2621-2631. https://doi.org/10.1364/AO.386747

Zhu, K., Guo, X., Jiang, C.H., Xue, Y.Y., Li, Y.J., Han, Li., and Y.W. Chen, 2020. MIMU/Odometer Fusion with State Constraints for Vehicle Positioning during BeiDou Signal Outage: Testing and Results. Sensors, 20(18), 2302. https://doi.org/10.3390/s20082302

2019

Ahlavuo, M., Hyyppä, H., Kukko, A., Kaartinen, H., and J. Hyyppä, 2019. Mitä jos Suomessa käy "Notred Damet". Maankäyttö, 2:2019: 16-19.

Berveglieri, A., Garcia Tommaselli, A.M., Santos, L.D., and E. Honkavaara, 2019. Bundle Adjustment of a  Time-Sequential Spectral Camera Using Polynomial Models. IEEE Transactions on Geoscience and Remote Sensing, 57(11): 9252-9263. https://doi.org/10.1109/TGRS.2019.2925783

Cai, S., Zhang, W., Liang, X., Wan, P., Qi, J., Yu, S., Yan, G., and J. Shao, 2019. Filtering airborne LiDAR data through complementary cloth simulation and progressive TIN densification filters. Remote Sensing, 11(9), 1037. https://doi.org/10.3390/rs11091037

Campos, M.B., Tommaselli, A.M.G., Gastanheiro, L.F., Alves de Oliveira, R., and E. Honkavaara, 2019. A Fisheye Image Matching Method Boosted by Recursive Search Space for Close Range Photogrammetry. Remote Sensing, 11(12), 1404. https://doi.org/10.3390/rs11121404

Chen, X., Wu, M., Liu, X., Wang, D., Liu, F., Chen, Y., Yi, F., Huang, W., and S. Wang, 2019. Tuning the Doping Ratio and Phase Transition Temperature of VO2 Thin Film by Dual-Target Co-Sputtering. Nanomaterials, June 9(6): 834

Chen, Y., Li, W., Hyyppä, J., Wang, N., Jiang, C., Meng, F., Tang, L., Puttonen, E., and C. Li, 2019. A 10-nm Spectral Resolution Hyperspectral LiDAR System Based on an Acousto-Optic Tunable Filter. Sensors, 19(7), 1620. https://doi.org/10.3390/s19071620

Dai, W., Yang, B., Liang, X., Dong, Z., Huang, R., Wang, Y., and W. Li, 2019. Automated fusion of forest airborne and terrestrial point clouds through canopy density analysis. ISPRS Journal of Photogrammetry and Remote Sensing, 156: 94-107. https://doi.org/10.1016/j.isprsjprs.2019.08.008

Du, S., Li, X., Liu, Z., Chen, Y., Wang, Z., Tang, L., and W. He, 2019. Radiometric characteristics of the intensity data of laser scanner. Journal of University of Chinese Academy of Science, 36(3): 392-400. https://doi.org/10.7523/j.issn.2095-6134.2019.03.013

Franceschini, M.H.D., Bartholomeus, H., van Apeldoorn, D.F., Suomalainen, J., and L. Kooistra, 2019. Feasibility of Unmanned Aerial Vehicle Optical Imagery for Early Detection and Severity Assessment of Late Blight in Potato. Remote Sensing, 11(3), 224. https://doi.org/10.3390/rs11030224

Huang, B., Liu, J., Sun, W., and F. Yang, 2019. A Robust Indoor Positioning Method based on Bluetooth Low Energy with Separate Channel Information. Sensors, 19(16), 3487. https://doi.org/10.3390/s19163487

Hyyppä, H., Ahlavuo, M., Kurkela, M., and J. Hyyppä, 2019. Avoimuudella tieto käyttöön?, Maankäyttö, (3:2019): 27-29.

Ilinca, J., Kaasalainen, S., Malkamäki, T., and T. Hakala, 2019. Improved Waveform Reconstruction and Parameter Accuracy Retrieval for Hyperspectral LiDAR Data. Applied Optics, 58(35): 9624-9633. https://doi.org/10.1364/AO.58.009624

Imangholiloo, M., Saarinen, N., Markelin, L., Rosnell, T., Näsi, R., Hakala, T., Honkavaara, E., Holopainen, M., Hyyppä, J., and M. Vastaranta, 2019. Characterizing Seedling Stands Using Leaf-Off and Leaf-On Photogrammetric Point Clouds and Hyperspectral Imagery Acquired from Unmanned Aerial Vehicle. Forests, 10(5), 415. https://doi.org/10.3390/f10050415

Jiang, C., Chen, S., Chen, Y., and Y. Bo. 2019. Research on a chip scale atomic clock aided vector tracking loop. IET Radar, Sonar & Navigation, (13)7: 1101-1106

Jiang, C., Chen, S., Chen, Y., and Y. Bo, 2019. Research on a chip scale atomic clock driven GNSS/SINS deeply coupled navigation system for augmented performance. IET Radar, Sonar & Navigation, 13(2): 326-331. https://doi.org/10.1049/iet-rsn.2018.5152

Jiang, C., Chen, Y., Chen, S., Bo, Y., Li, W., Tian, W., and J. Guo, 2019. A Mixed Deep Recurrent Neural Network for MEMS Gyroscope Noise Suppressing. Electronics, 8(2), 181. https://doi.org/10.3390/electronics8020181

Jiang, C., Chen, Y., Wu, H., Li, W., Zhou, H., Bo, Y., Shao, H., Song, S., Puttonen, E., and J. Hyyppä, 2019. Study of a High Spectral Resolution Hyperspectral LiDAR in Vegetation Red Edge Parameter Extraction. Remote Sensing, 11, 2007. 

Jiang, H., Liu, J., Wang, Z., An, J., Ou, J., Liu, S., and N. Wang, 2019. Assessment of spatial and temporal TEC variations derived from ionospheric models over the polar regions. Journal of Geodesy, 93(4): 455-471. https://doi.org/10.1007/s00190-018-1175-6

Julin, A., Jaalama, K., Virtanen, J.-P., Maksimainen, M., Kurkela, M., Hyyppä, J., and H. Hyyppä, 2019. Automated Multi-Sensor 3D Reconstruction for the Web. ISPRS International Journal of Geo-Information, 8(5), 221. https://doi.org/10.3390/ijgi8050221

Junttila, S., Holopainen, M., Vastaranta, M., Lyytikäinen-Saarenmaa, P., Kaartinen, H., Hyyppä, J., and H. Hyyppä, 2019. The potential of dual-wavelength terrestrial lidar in early detection of Ips typographus (L.) infestation - Leaf water content as a proxy. Remote Sensing of Environment, 231: 111264. https://doi.org/10.1016/j.rse.2019.111264

Kainulainen, J., Salo, S., Lahtinen, J., Calves, G.M., Seppänen, J., Praks, J., Hakala, T., Chen, Y., Hyyppä, J., Unwin, M. and P. Jales, 2019. Airborne Wind Vector Scatterometer for Sea Surface Measurements.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, (12) 7: 2470-2476

Kaivosoja, J., Näsi, R., Hakala, T., Viljanen, N., and E. Honkavaara, 2019. A Different Remote Sensing Data in Relative Biomass Determination and in Precision Fertilization Task Generation for Cereal Crops. In: Salampasis, M., Bournaris, T. (eds.), Information and Communication Technologies in Modern Agricultural Development. HAICTA 2017. Communications in Computer and Information Science, 2019, 953: 164-176. https://doi.org/10.1007/978-3-030-12998-9_12

Kantola, T., Tracy, J.L., Lyytikäinen-Saarenmaa, P., Saarenmaa, H., Coulson, R.N., Trabucco, A., and M. Holopainen, 2019. Hemlock woolly adelgid niche models from the invasive eastern North American range with projections to native ranges and future climates. iForest - Biogeosciences and Forestry, 12(2): 149-159. https://doi.org/10.3832/ifor2883-012

Karila, K., Yu, X., Vastaranta, M., Karjalainen, M., Puttonen, E., and J. Hyyppä, 2019. TanDEM-X digital surface models in boreal forest above-ground biomass change detection. ISPRS Journal of Photogrammetry and Remote Sensing, 148: 174-183. https://doi.org/10.1016/j.isprsjprs.2019.01.002

Khoramshahi, E., Campos, M.B., Tommaselli, A.M.G., Viljanen, N., Mielonen, T., Kaartinen, H., Kukko, A., and E. Honkavaara, 2019. Accurate Calibration Scheme for a Multi-Camera Mobile Mapping System. Remote Sensing, 11(23). https://doi.org/10.3390/rs11232778

Kokka, A., Pulli, T., Honkavaara, E., Markelin, L., Kärnä, P., and E. Ikonen, 2019. Flat-field calibration method for hyperspectral frame cameras. Metrologia, 56(5), 055001. https://doi.org/10.1088/1681-7575/ab3261

Kukko, A., Kaartinen, H. ja J. Hyyppä, 2019. Tulevaisuuden teknologiat: korkean erotuskyvyn laserkeilaus. Positio 2019:4, s. 16-18

Kukko, A., Virtanen, J.-P., and H. Hyyppä, 2019. Point Clouds as the Future Topographic Core Data. GIM International, 33(1): 20-23.

Lang, J., Alho, P., Kasvi, E., Goseberg, N., and J. Winsemann, 2019. Impact of Middle Pleistocene (Saalian) glacial lake-outburst floods on the meltwater-drainage pathways in northern central Europe: Insights from 2D numerical flood simulation. Quaternary Science Reviews, 209: 82-99. https://doi.org/10.1016/j.quascirev.2019.02.018

Lehtola, V., Hyyti, H., Keränen, P., and J. Kostamovaara, 2019. Single Photon Lidar in Mobile Laser Scanning: The Sampling Rate Problem and Initial Solution via Spatial Correlations. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W18: 91-97. https://doi.org/10.5194/isprs-archives-XLII-2-W18-91-2019

Lehtola, V., Lehtomäki, M., Hyyti, H., Kaijaluoto, R., Kukko, A., Kaartinen, H., and J. Hyyppä, 2019. Preregistration Classification of Mobile LIDAR Data Using Spatial Correlations. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2019.2909351

Lehtomäki, M., Kukko, A., Matikainen, L., Hyyppä, J., Kaartinen, H., and A. Jaakkola, 2019. Power line mapping technique using all-terrain mobile laser scanning. Automation in Construction, 105. https://doi.org/10.1016/j.autcon.2019.03.023

Li, F., Lehtomäki, M., Oude Elberink, S., Vosselman, G., Kukko, A., Puttonen, E., Chen, Y., and J. Hyyppä, 2019. Semantic segmentation of road furniture in mobile laser scanning data. ISPRS Journal of Photogrammetry and Remote Sensing, 154: 98-113. https://doi.org/10.1016/j.isprsjprs.2019.06.001

Li, W., Jiang, C., Chen, Y., Hyyppä, J., Tang, L., Li, C., and S.W. Wang, 2019. A Liquid Crystal Tunable Filter-Based Hyperspectral LiDAR System and Its Application on Vegetation Red Edge Detection. IEEE Geoscience and Remote Sensing Letters, 16(2): 291-295. https://doi.org/10.1109/LGRS.2018.2870143

Liang, X., Wang, Y., Pyörälä, J., Lehtomäki, M., Yu, X., Kaartinen, H., Kukko, A., Honkavaara, E., Issaoui, A.E.I., Nevalainen, O., Vaaja, M., Virtanen, J.-P. Katoh, M., and S. Deng, 2019. Forest in situ observations using unmanned aerial vehicle as an alternative of terrestrial measurements. Forest Ecosystems, 6(1). https://doi.org/10.1186/s40663-019-0173-3

Lin, Y., and J. Hyyppä, 2019. Characterizing ecosystem phenological diversity and its macroecology with snow cover phenology. Scientific Reports, 9, 15074. https://doi.org/10.1038/s41598-019-51602-1

Lotsari, E., Tarsa, T., Kämäri, M., Alho, P., and E. Kasvi, 2019. Spatial variation of flow characteristics in a subarctic meandering river in ice-covered and open-channel conditions: A 2D hydrodynamic modelling approach. Earth Surface Processes and Landforms, 44(8): 1509-1529. https://doi.org/10.1002/esp.4589

Luoma, V., Saarinen, N., Kankare, V., Tanhuanpää, T., Kaartinen, H., Kukko, A., Holopainen, M., Hyyppä, J., and M. Vastaranta, 2019. Examining Changes in Stem Taper and Volume Growth with Two-Date 3D Point Clouds. Forests, 10(5), 382. https://doi.org/10.3390/f10050382

Matikainen, L., Pandžić, M., Li, F., Karila, K., Hyyppä, J., Litkey, P., Kukko, A., Lehtomäki, M., Karjalainen, M., and E. Puttonen, 2019. Toward utilizing multitemporal multispectral airborne laser scanning, Sentinel-2, and mobile laser scanning in map updating. Journal of Applied Remote Sensing, 13(4), 044504. https://doi.org/10.1117/1.JRS.13.4.044504

Nylén, T., Kasvi, E., Salmela, J., Kaartinen, H., Kukko, A., Jaakkola, A., Hyyppä, J., and P. Alho, 2019. Improving distribution models of riparian vegetation with mobile laser scanning and hydraulic modelling. PLoS ONE, 14(12), e0225936. https://doi.org/10.1371/journal.pone.0225936

Oliveira, R.A., Näsi, R., Niemeläinen, O., Nyholm, L., Alhonoja, K., Kaivosoja, J., Viljanen, N., Hakala, T., Nezami, S., Markelin, L., Jauhiainen, L., and E. Honkavaara, 2019. Assessment of RGB and Hyperspectral UAV Remote Sensing for Grass Quantity and Quality Estimation. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W13: 489-494. https://doi.org/10.5194/isprs-archives-XLII-2-W13-489-2019

Oliveira, R.A., Tommaselli, A.M.G., and E. Honkavaara, 2019. Generating a hyperspectral digital surface model using a hyperspectral 2D frame camera. ISPRS Journal of Photogrammetry and Remote Sensing, 147: 345-360. https://doi.org/10.1016/j.isprsjprs.2018.11.025

Peltonen-Sainio, P., Jauhiainen, L., Honkavaara, E., Wittke, S., Karjalainen, M., and E. Puttonen, 2019. Pre-crop Values from Satellite Images for Various Previous and Subsequent Crop Combinations. Frontiers in Plant Science, 10: 462. https://doi.org/10.3389/fpls.2019.00462

Peltonen-Sainio, P., Jauhiainen, L., Laurila, H., Sorvali, J., Honkavaara, E., Wittke, S., Karjalainen, M., and E. Puttonen, 2019. Land use optimization tool for sustainable intensification of high-latitude agricultural systems. Land Use Policy, 88, 104104. https://doi.org/10.1016/j.landusepol.2019.104104

Pirotti, F., Liang, X., and Q. Chen, 2019. Preface of Special Issue on Laser Scanning. Applied Sciences, 9(13), 2713. https://doi.org/10.3390/app9132713

Puttonen, E., Lehtomäki, M., Litkey, P., Näsi, R., Feng, Z., Liang, X., Wittke, S., Pandzic, M., Hakala, T., Karjalainen, M., and N. Pfeifer, 2019. A Clustering Framework for Monitoring Circadian Rhythm in Structural Dynamics in Plants from Terrestrial Laser Scanning Time Series. Frontiers in Plant Science, 10: 486. https://doi.org/10.3389/fpls.2019.00486

Pyörälä, J., Kankare, V., Liang, X., Saarinen, N., Rikala, J., Kivinen, V.-P., Sipi, M., Holopainen, M., Hyyppä, J., and M. Vastaranta, 2019. Assessing log geometry and wood quality in standing timber using terrestrial laser-scanning point clouds. Forestry - An International Journal of Forest Research, 92(2): 177-187. https://doi.org/10.1093/forestry/cpy044

Pyörälä, J., Räsänen, T., Hämäläinen, J., Maltamo, M., Karjalainen, T., Peuhkurinen, J., Repola, J., Mäkinen, H., Hyyppä, J., and M. Holopainen, 2019. Puuston laatutunnusten mittaus ja mallinnus. Metsätieteen aikakauskirja 2019-10253, 1-5.

Pyörälä, J., Saarinen, N., Kankare, V., Coops, N., Liang, X., Wang, Y., Holopainen, M., Hyyppä, J., and M. Vastaranta, 2019. Variability of wood properties in standing timber with terrestrial and airborne laser scanning. Remote Sensing of Environment, 235, 111474. https://doi.org/10.1016/j.rse.2019.111474

Pyörälä, J., Tonteri, O., Rikala, J., Sipi, M., Holopainen, M., and J. Hyyppä, 2019. Modelling the knot taper in Scots pine (Pinus sylvestris L.) from terrestrial laser scanning - derived branch attributes. In H. Kallakas (ed.), Proceedings of the 14th Annual Meeting of the Northern European Network for Wood Science and Engineering (WSE2018). Tallinn University of Technology, Tallinn, pp. 22-24, Northern European Network for Wood Science and Engineering (WSE), Tallinna, Viro, 02/10/2018.

Saarinen, N., Kankare, V., Pyörälä, J., Yrttimaa, T., Liang, X., Wulder, M.A., Holopainen, M., Hyyppä, J., and M. Vastaranta, 2019. Assessing the Effects of Sample Size on Parametrizing a Taper Curve Equation and the Resultant Stem-Volume Estimates. Forests, 10(10), 848. https://doi.org/10.3390/f10100848

Saukkola, A., Melkas, T., Riekki, K., Sirparanta, S., Peuhkurinen, J., Holopainen, M., Hyyppä, J., and M. Vastaranta, 2019. Predicting Forest Inventory Attributes Using Airborne Laser Scanning, Aerial Imagery, and Harvester Data. Remote Sensing, 11(7), 797. https://doi.org/10.3390/rs11070797

Tanhuanpää, T., Yu, X., Luoma, V., Saarinen, N., Raisio, J., Hyyppä, J., Kumpula, T. and M. Holopainen, 2019. Effect of canopy structure on the performance of tree mapping methods in urban parks. Urban Forestry and Urban Greening, 44, 126441. https://doi.org/10.1016/j.ufug.2019.126441

Virtanen, J.-P., 2019. Emerging near-consumer-level technologies for 3D geomatics. Aalto University, DOCTORAL DISSERTATIONS 199/2019. p. 213. https://urn.fi/URN:ISBN:978-952-60-8789-4

Virtanen, J.-P., Antin, K.-N., Kurkela, M., and H. Hyyppä, 2019. The feasibility of using a low-cost depth camera for 3D scanning in mass customization. Open Engineering, 9(1): 450-458. https://doi.org/10.1515/eng-2019-0056

Wan, P., Wang, T., Zhang, W., Liang, X., Skidmore, A.K., and G. Yan, 2019. Quantification of occlusions influencing the tree stem curve retrieving from single-scan terrestrial laser scanning data. Forest Ecosystems, 6, 43. https://doi.org/10.1186/s40663-019-0203-1

Wang, Y., Lehtomäki, M., Liang, X., Pyörälä, J., Kukko, A., Jaakkola, A., Liu, J., Feng, Z., Chen, R., and J. Hyyppä, 2019. Is field-measured tree height as reliable as believed - A comparison study of tree height estimates from field measurement, airborne laser scanning and terrestrial laser scanning in a boreal forest. ISPRS Journal of Photogrammetry and Remote Sensing, 147: 132-145. https://doi.org/10.1016/j.isprsjprs.2018.11.008

Wang, Y., Pyörälä, J., Liang, X., Lehtomäki, M., Kukko, A., Yu, X., Kaartinen, H., and J. Hyyppä, 2019. In situ biomass estimation at tree and plot levels: What did data record and what did algorithms derive from terrestrial and aerial point clouds in boreal forest. Remote Sensing of Environment, 232. https://doi.org/10.1016/j.rse.2019.111309

White, J.C., Saarinen, N., Wulder, M., Kankare, V., Hermosilla, T., Coops, N.C., Holopainen, M., Hyyppä, J., and M. Vastaranta, 2019. Assessing spectral measures of post-harvest forest recovery with field plot data. International Journal of Applied Earth Observation and Geoinformation, 80: 102-114. https://doi.org/10.1016/j.jag.2019.04.010

Xiao, W., Zaforemska, A., Smigaj, M., Wang, Y., and R. Gaulton, 2019. Mean shift segmentation assessment for individual forest tree delineation from airborne lidar data. Remote Sensing, 11(11), 1263. https://doi.org/10.3390/rs11111263

Xuan Z, Zhi Y, Wang S, Zhang Y, Zheng Y, Li J, Liu F, Xie Y, Chen Y, Shi W, Yi F, 2019. Rapid and Precise Wave-length Determination Approach Based on Visually Patterned Integrated Narrow Bandpass Filters. IEEE Photonics Journal. 2019 Jan 30;11(1):1-7.

Yang, S., Li, L., Liu, J., Chen, Q., Ding, X., Sun, H., Wu, Y., Ren, C., and N. Hu, 2019. Effective Cycle Slip Detection and Repair for PPP/INS Integrated Systems. Sensors, 19(3), 502. https://doi.org/10.3390/s19030502

Yrttimaa, T., Saarinen, N., Kankare, V., Liang, X., Hyyppä, J., Holopainen, M., and M. Vastaranta, 2019. Investigating the Feasibility of Multi-Scan Terrestrial Laser Scanning to Characterize Tree Communities in Southern Boreal Forests. Remote Sensing, 11(12), 1423. https://doi.org/10.3390/rs11121423

Yrttimaa, T., Saarinen, N., Luoma, V., Tanhuanpää, T., Kankare, V., Liang, X., Hyyppä, J., Holopainen, M., and M. Vastaranta, 2019. Detecting and characterizing downed dead wood using terrestrial laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing, 151: 76-90. https://doi.org/10.1016/j.isprsjprs.2019.03.007

Zhu, L., Kukko, A., Virtanen, J.-P., Hyyppä, J., Kaartinen, H., Hyyppä, H., and T. Turppa, 2019.  Multisource point clouds, point simplification and surface reconstruction. Remote Sensing, 11(22), 2659. https://doi.org/10.3390/rs11222659

2018

Aasen, H., Honkavaara, E., Lucieer, A., and P.J. Zarco-Tejada, 2018. Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows. Remote Sensing 10(7): 1091. https://doi.org/10.3390/rs10071091

Berveglieri, A., Imai, N.N., Tommaselli, A.M.G., Casagrande, B., and E. Honkavaara, 2018. Successional stages and their evolution in tropical forests using multitemporal photogrammetric surface models and superpixels. ISPRS Journal of Photogrammetry and Remote Sensing, 146: 548-558. https://doi.org/10.1016/j.isprsjprs.2018.11.002

Blomqvist, M., Kosunen, M., Starr, M., Kantola, T., Holopainen, M., and P. Lyytikäinen-Saarenmaa, 2018. Modelling the predisposition of Norway spruce to Ips typographus L. infestation by means of environmental factors in southern Finland. European Journal of Forest Research, 137(5): 675-691. https://doi.org/10.1007/s10342-018-1133-0

Calle, M., Alho, P., and G.J. Benito, 2018. Monitoring ephemeral river changes during floods with SfM photogrammetry. Journal of Iberian Geology, 44(3): 355-373. https://doi.org/10.1007/s41513-018-0078-y

Campos, M.B., Tommaselli, A.M.G., Honkavaara, E., Prol, F.S., Kaartinen, H., El Issaoui, A. and T. Hakala, 2018. A backpack-mounted omnidirectional camera with off-the-shelf navigation sensors for mobile terrestrial mapping: development and forest application. Sensors 18(3), 827. https://doi.org/10.3390/s18030827

Chen, S., Liu, J., Huang, W., and R. Chen, 2018. Wide swath stereo mapping from gaofen-1 wide-field-view (wfv) images using calibration. Sensors, 18(3), 739. https://doi.org/10.3390/s18030739

Chen, Y., Jiang, C., Hyyppä, J., Qiu, S., Wang, Z., Tian, M., Li, W., Puttonen, E., Zhou, H., Feng, Z., Bo, Y., and Z. Wen, 2018. Feasibility Study of Ore Classification Using Active Hyperspectral LiDAR. IEEE Geoscience and Remote Sensing Letters, 15(11): 1785-1789. https://doi.org/10.1109/LGRS.2018.2854358

Gao, Q., Yin, D., Luo, Q., and J. Liu, 2018. Minimum Elastic Bounding Box Algorithm for Dimension Detection of 3D Objects: A Case of Airline Baggage Measurement. IET Image Processing. https://doi.org/10.1049/iet-ipr.2017.0695

Grau Galofre, A., Jellinek, M., Osinski, G.R., Zanetti, M. and A. Kukko, 2018. Subglacial drainage patterns of Devon Island, Canada: detailed comparison of rivers and subglacial meltwater channels. The Cryosphere (12):1461-1478. https://doi.org/10.5194/tc-12-1461-2018

Gülch, E., Kaartinen, H., and J. Hyyppä, 2018. Quality of Buildings Extracted from Airborne Laser Scanning Data - Results of an Empirical Investigation on 3D Building Reconstruction. In Jie Shan and Charles K. Toth (Ed.), Topographic Laser Ranging and Scanning - Principles and Processing, 587-621.

Hakala, T., Markelin, L., Honkavaara, E., Scott, B., Theocharous, T., Nevalainen, O., Näsi, R., Suomalainen, J., Viljanen, N., Greenwell, C. and N. Fox, 2018. Direct Reflectance Measurements from Drones: Sensor Absolute Radiometric Calibration and System Tests for Forest Reflectance Characterization. Sensors, 18(5), 1417. https://doi.org/10.3390/s18051417

Harikumar, A., Liang, X., and F. Bovolo, 2018. An Approach to Tree Species Classification Using Voxel Neighborhood Density-Based Subsampling of Multiscan Terrestrial Lidar Data. In Proceedings of IGARSS 2018, IEEE International Geoscience and Remote Sensing Symposium. 2809-2812.

Honkavaara, E., Hakala, T. ja O. Nevalainen, 2018. Ilma-alus kohteen mukaan. Positio (1/2018):8-11.

Honkavaara, E. and E. Khoramshahi, 2018. Radiometric correction of close-range spectral image blocks captured using an unmanned aerial vehicle with a radiometric block adjustment. Remote Sensing, 10(2), 256. https://doi.org/10.3390/rs10020256

Hyyppä, J., Yu, X., Kaartinen, H., Kukko, A., Jaakkola, A., Liang, X., Wang, Y., Holopainen, M., Vastaranta, M., and H. Hyyppä, 2018. Forest Inventory Using Laser Scanning. In Shan, J. and Toth, C. (Eds.). Topographic Laser Ranging and Scanning. CRC Press. 379-412.

Hyyti, H., Lehtola, V.V., and A. Visala, 2018. Forestry crane posture estimation with a two dimensional laser scanner. Journal of Field Robotics, 35(7): 1025-1049. https://doi.org/10.1002/rob.21793

Jiang, Hu, Wang, Zemin, An, Jiachun, Liu, Jingbin, Wang, Ningbo, and Hang Li, 2018. Influence of spatial gradients on ionospheric mapping using thin layer models. GPS Solutions, 22(1), article 2, 14 pages. https://doi.org/10.1007/s10291-017-0671-0

Julin, A., Jaalama, K., Virtanen, J.-P., Pouke, M., Ylipulli, J., Vaaja, M.T., Hyyppä, J., and H. Hyyppä, 2018. Characterizing 3D City Modeling Projects: Towards a Harmonized Interoperable System. ISPRS International Journal of Geo-Information, 7(2), 55. https://doi.org/10.3390/ijgi7020055

Junttila, S., Sugano, J., Vastaranta, M., Linnakoski, R., Kaartinen, H., Kukko, A., Holopainen, M., Hyyppä, H. and J. Hyyppä, 2018. Can leaf water content be estimated using multispectral terrestrial laser scanning? A case study with Norway spruce seedlings. Frontiers In Plant Science, 9: 299. https://doi.org/10.3389/fpls.2018.00299.

Kaasalainen, S., Åkerblom, M., Nevalainen, O., Hakala, T., and M. Kaasalainen, 2018. Uncertainty in multispectral lidar signals caused by incidence angle effects. Interface Focus 8(20170033). https://doi.org/10.1098/rsfs.2017.0033

Kainulainen, J., Salo, S., Lahtinen, J., Molera Calvés, G., Seppänen, J., Praks, J., Hakala, T., Chen, Y., Hyyppä, J., Unwin, M., Jales, P., Ressler, G., Casal, T., and J. Rosello, 2018. Fully polarimetric airborne wind vector scatterometer to support space-borne GNSS-R measurements. Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018). https://doi.org/10.1109/IGARSS.2018.8517478

Karila, K., Matikainen, L., Litkey, P., Hyyppä, J., and E. Puttonen, 2018. The effect of seasonal variation on automated land cover mapping from multispectral airborne laser scanning data. International Journal of Remote Sensing. https://doi.org/10.1080/01431161.2018.1528023

Khoramshahi, E. and E. Honkavaara, 2018. Modelling and automated calibration of a general multi-projective camera. Photogrammetric Record, 133(161):86-112. https://doi.org/10.1111/phor.12230

Li, F., Lehtomäki, M., Oude Elberink, S., Vosselman, G., Puttonen, E., Kukko, A., and J. Hyyppä, 2018. Pole-like road furniture detection in sparse and unevenly distributed mobile laser scanning data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-2, 2018; ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020”, 4–7 June 2018, Riva del Garda, Italy. https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2/185/2018/isprs-annals-IV-2-185-2018.pdf

Liang, X., Hyyppä, J., Kaartinen, H., Lehtomäki, M., Pyörälä, J., Pfeifer, N., Holopainen, M., Brolly, G., Francesco, P., Hackenberg, J., Huang, H., Jo, H.-W., Katoh, M., Liu, L., Mokros, M., Morel, J., Olofsson, K., Poveda-Lopez, J., Trochta, J., Wang, D., Wang, J., Xi, Z., Yang, B., Zheng, G., Kankare, V., Luoma, V., Yu, X., Chen, L., Vastaranta, M., Saarinen, N., and Y. Wang, 2018. International benchmarking of terrestrial laser scanning approaches for forest inventories. ISPRS Journal of Photogrammetry and Remote Sensing, 144: 137-179. https://doi.org/10.1016/j.isprsjprs.2018.06.021

Liang, X., Kukko, A., Hyyppä, J., Lehtomäki, M., Pyörälä, J., Yu, X., Kaartinen, H., Jaakkola, A., and Y. Wang, 2018. In-situ measurements from mobile platforms: An emerging approach to address the old challenges associated with forest inventories. ISPRS Journal of Photogrammetry and Remote Sensing, 143: 97-107. https://doi.org/10.1016/j.isprsjprs.2018.04.019

Lotsari, E.S., Calle, M., Benito, G., Kukko, A., Kaartinen, H., Hyyppä, J., Hyyppä, H. and P. Alho, 2018. Topographical change caused by moderate and small floods in a gravel bed ephemeral river-a depth-averaged morphodynamic simulation approach. Earth Surface Dynamics, 6(1): 163-185. https://doi.org/10.5194/esurf-6-163-2018

Markelin, L., Suomalainen, J., Hakala, T., Alves de Oliveira, R., Viljanen, N., Näsi, R., Scott, B., Theocharous, T., Greenwell, C., Fox, N., and E. Honkavaara, 2018. Methodology for direct reflectance measurement from a drone: system description, radiometric calibration and latest results. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1: 283-288. https://doi.org/10.5194/isprs-archives-XLII-1-283-2018

Miyoshi, G.T., Imai, N.N., Tommaselli, A.M.G., Honkavaara, E., Näsi, R. and É.A.S. Moriya, 2018. Radiometric block adjustment of hyperspectral image blocks in the Brazilian environment. International Journal of Remote Sensing, 1-21.

Nevalainen, O., 2018. Droonit mahdollistavat tehokkaan paikkatiedon keruun kuntien tarpeisiin. Positio (1:2018):12-14.

Näsi, R., Honkavaara, E., Blomqvist, M., Lyytikäinen-Saarenmaa, P., Hakala, T., Viljanen, N., Kantola, T. and M. Holopainen, 2018. Remote sensing of bark beetle damage in urban forests at individual tree level using a novel hyperspectral camera from UAV and aircraft. Urban Forestry and Urban Greening, 30: 72-83. https://doi.org/10.1016/j.ufug.2018.01.010

Näsi, R., Viljanen, N., Kaivosoja, J., Alhonoja, K., Hakala, T., Markelin, L., and E. Honkavaara, 2018. Estimating Biomass and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features. Remote Sensing, 10(7). https://doi.org/10.3390/rs10071082

Näsi, R., Viljanen, N., Oliveira, R., Kaivosoja, J., Niemeläinen, O., Hakala, T., Nezami, S., Suomalainen, J. and E. Honkavaara, 2018. Optimizing radiometric processing and feature extraction of drone based hyperspectral frame format imagery for estimation of yield quantity and quality of grass sward. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 42(3). https://doi.org/10.5194/isprs-archives-XLII-3-1305-2018

Oliveira, R. A., Khoramshahi, E., Suomalainen, J., Hakala, T., Viljanen, N., and E. Honkavaara, 2018. Real-time and post-processed georeferencing for hyperspectral drone remote sensing. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 42(2). https://doi.org/10.5194/isprs-archives-XLII-2-789-2018

Puttonen, A., Harzhauser, M., Puttonen, E., Mandic, O., Székely, B., Molnár, G., and N. Pfeifer, 2018. Automatic determination of 3D orientations of fossilized oyster shells from a densely packed Miocene shell bed. International Journal of Earth Sciences (Geol Rundsch), 107(3): xx-xx (1-18). https://doi.org/10.1007/s00531-018-1591-0.

Pyörälä, J., Kankare, V., Vastaranta, M., Rikala, J., Holopainen, M., Sipi, M., Hyyppä, J., and J. Uusitalo, 2018. Comparison of Terrestrial Laser Scanning and X-ray Scanning in Measuring Scots Pine (Pinus sylvestris L.) Branch Structure. Scandinavian Journal of Forest Research 33(3): 291-298. https://doi.org/10.1080/02827581.2017.1355409

Pyörälä, J., Liang, X., Vastaranta, M., Saarinen, N., Kankare, V., Wang, Y., Holopainen, M. and J. Hyyppä, 2018. Quantitative assessment of Scots pine (Pinus sylvestris L.) whorl structure in a forest environment using terrestrial laser scanning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(10): 3598-3607. https://doi.org/10.1109/JSTARS.2018.2819598

Roosjen, P.P.J., Brede, B., Suomalainen, J.M., Bartholomeus, H.M., Kooistra, L., and J.G.P.W. Clevers, 2018. Improved estimation of leaf area index and leaf chlorophyll content of a potato crop using multi-angle spectral data - potential of unmanned aerial vehicle imagery. International Journal of Applied Earth Observation and Geoinformation, 66 (April): 14-26. https://doi.org/10.1016/j.jag.2017.10.012 

Saarinen, N., Vastaranta, M., Näsi, R., Rosnell, T., Hakala, T., Honkavaara, E., Wulder, M., Luoma, V., Tommaselli, A.M.G., Imai, N.N., Ribeiro, E.A., Guimarães, R., Holopainen, M. and J. Hyyppä, 2018. Assessing biodiversity in boreal forests with UAV-based photogrammetric point clouds and hyperspectral imaging. Remote Sensing, 10(2), 338. https://doi.org/10.3390/rs10020338

Saarinen, N., White, J.C., Wulder, M.A., Kangas, A., Tuominen, S., Kankare, V., Holopainen, M., Hyyppä, J., and M. Vastaranta, 2018. Landsat archive holdings for Finland: opportunities for forest monitoring. Silva Fennica, 52(3), article id 9986. https://doi.org/10.14214/sf.9986

Shan, J. and J. Hyyppä (Eds.), 2018. Advances in Airborne LiDAR Systems and Data Processing. MDPI. ISBN 978-3-03842-674-5, 493 pages. https://doi.org/10.3390/books978-3-03842-674-5

Suomalainen, J., Hakala, T., Alves de Oliveira, R., Markelin, L., Viljanen, N., Näsi, R., and E. Honkavaara, 2018. A Novel Tilt Correction Technique for Irradiance Sensors and Spectrometers On-Board Unmanned Aerial Vehicles. Remote Sensing, 10(12), 2068. https://doi.org/10.3390/rs10122068

Thomson, E.R., Malhi, Y., Bartholomeus, H., Oliveras, I., Gvozdevaite, A., Peprah, T., Suomalainen, J., Quansah, J., Seidu, J., Adonteng, C., Abraham, A.J., Herold, M., Adu-Bredu, S., and C.E. Doughty, 2018. Mapping the Leaf Economic Spectrum across West African Tropical Forests Using UAV-Acquired Hyperspectral Imagery. Remote Sensing, 10(10): 1-25, 1532. https://doi.org/10.3390/rs10101532

Tuominen, S., Näsi, R., Honkavaara, E., Balazs, A., Hakala, T., Viljanen, N., Pölönen, I., Saari, H. and H. Ojanen, 2018. Assessment of classifiers and remote sensing features of hyperspectral imagery and stereo-photogrammetric point clouds for recognition of tree species in a forest area of high species diversity. Remote Sensing, 10(5), 714. https://doi.org/10.3390/rs10050714

Vaaja, M.T., Kurkela, M., Maksimainen, M., Virtanen, J.-P., Kukko, A., Lehtola, V.V., Hyyppä, J., and H. Hyyppä, 2018. Mobile mapping of night-time road environment lighting. The Photogrammetric Journal of Finland, 26(1): 1-17. https://doi.org/10.17690/018261.1

Vastaranta, M., Yu, X., Luoma, V., Karjalainen, M., Saarinen, N., Wulder, M.A., White, J.C., Persson, H.J., Hollaus, M., Yrttimaa, T., Holopainen, M., and J. Hyyppä, 2018. Aboveground forest biomass derived using multiple dates of WorldView-2 stereo-imagery: quantifying the improvement in estimation accuracy. International Journal of Remote Sensing, 39(23): 8766-8783. https://doi.org/10.1080/01431161.2018.1492176

Viljanen, N., Honkavaara, E., Näsi, R., Hakala, T., Niemeläinen, O., and J. Kaivosoja, 2018. A Novel Machine Learning Method for Estimating Bio-mass of Grass Swards Using a Photogrammetric Canopy Height Model, Images and Vegetation Indices Captured By a Drone. Agriculture, 8(5):70. https://doi.org/10.3390/agriculture8050070

Virtanen, J.-P., Hyyppä, H., Kurkela, M., Vaaja, M. T., Puustinen, T., Jaalama, K., Julin, A., Pouke, M., Kukko, A., Turppa, T., Zhu, L., Ojala, T., and J. Hyyppä, 2018. Browser based 3D for the built environment. Nordic Journal of Surveying and Real Estate Research, 13(1): 54–76. 

Virtanen, J.-P., Kurkela, M., Ahlavuo, M., Handolin, H., Jaalama, K., Hyttinen, H., Salmi, T., Lappalainen, J., Rantala, H. ja H. Hyyppä, 2018. Virtuaaliseikkailu teatterin maailmaan - 3D-teknologia tukemassa teatterin yleisötyötä. Julkaisussa Toivanen, P. (toim.), Virtuaaliseikkailu teatterin maailmaan - katsauksia kulttuurialan digitalisaatioon, 14-30. Humanistinen ammattikorkeakoulu, Julkaisuja n:o 64.

Virtanen, J.-P., Kurkela, M., Turppa, T., Vaaja, M.T., Julin, A., Kukko, A., Hyyppä, J., Ahlavuo, M., von Numers, J., Haggren, H., and H. Hyyppä, 2018. Depth camera indoor mapping for 3D virtual radio play. The Photogrammetric Record, 33(166): 171-195. 

White, J.C., Saarinen, N., Kankare, V., Wulder, M.A., Hermosilla, T., Coops, N.C., Pickell, P.D., Holopainen, M., Hyyppä, J., and M. Vastaranta, 2018. Confirmation of post-harvest spectral recovery from Landsat time series using measures of forest cover and height derived from airborne laser scanning data. Remote Sensing of Environment, 216: 329-337. https://doi.org/10.1016/j.rse.2018.07.004

Wittke, S., Yu, X., Karjalainen, M., Hyyppä, J., and E. Puttonen, 2018. Comparison of two-dimensional multitemporal Sentinel-2 data with three-dimensional remote sensing data sources for forest inventory parameter estimation over a boreal forest. International Journal of Applied Earth Observation and Geoinformation, 76: 167-178. https://doi.org/10.1016/j.jag.2018.11.009

Zhou, H., Chen, Y., Feng, Z., Li, F., Hyyppä, J., Hakala, T., Karjalainen, M., Jiang, C., and L. Pei, 2018. The Comparison of Canopy Height Pro-files Extracted from Ku-band Profile Radar Waveforms and LiDAR Data. Remote Sensing 10(5), 701.

Zhou, H., Chen, Y., Hyyppä, J., Feng, Z., Li, F., Hakala, T., Xu, X., and X. Zhu, 2018. Estimation of Canopy Height Using an Airborne Ku-Band Frequency-Modulated Continuous Waveform Profiling Radar. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(10): 3590-3597. https://doi.org/10.1109/JSTARS.2018.2865624

Zhu, L., Suomalainen, J., Liu, J., Hyyppä, J., Kaartinen, H., and H. Haggren, 2018. A Review: Remote Sensing Sensors, in Multi-purposeful Application of Geospatial Data , ed by  B. Rustamov, R. B.  IntechOpen, 2018. https://cdn.intechopen.com/pdfs/57384.pdf

2017

Berveglieri, A., Tommaselli, A., Liang, X., Honkavaara, E. 2017. Vertical Optical Scanning with Panoramic Vision for Tree Trunk Reconstruction. Sensors 17, no. 12: 2791. doi:10.3390/s17122791

Berveglieri,  A., Tommaselli, A., Liang, X., Honkavaara, E. 2017. Photogrammetric measurement of tree stems from vertical fisheye images. Scandinavian Journal of Forest Research 32 (8), 737–747.  https://doi.org/10.1080/02827581.2016.1273381

Bucksch, A., Atta-Boateng, A., Azihou, A.F., Battogtokh, D., Baumgartner, A., Binder, B.M., Braybrook, S.A., Chang, C., Coneva, V., DeWitt, T.J., Fletcher, A.G., Gehan, M.A., Diaz –Martinez, D.H., Hong, L., Iyer –Pascuzzi, A.S., Klein, L.L., Leiboff, S., Li, M., Lynch, J.P., Maizel, A., Maloof, J.N., Markelz, R.J.C., Martinez, C.C., Miller, L.A., Mio, W., Palubicki, W., Poorter, H., Pradal, C., Price, C.A., Puttonen, E., Reese, J.B., Rellán-Álvarez, R., Spalding, E.P., Sparks, E.E., Topp, C.N., Williams, J.H., and Chitwood, D.H. 2017. Morphological Plant Modeling: Unleashing Geometric and Topological Potential within the Plant Sciences, Frontiers in Plant Science, 8:900. doi: 10.3389/fpls.2017.00900

Chen, Y., Zhu, L., Tang, J., Pei, L., Kukko, A., Wang, Y., Hyyppä, J., & Hyyppä, H. (2017) Feasibility Study of Using Mobile Laser Scanning Point Cloud Data for GNSS Line of Sight Analysis. Mobile Information Systems, vol. 2017, Article ID 5407605, 11 pages. doi:10.1155/2017/5407605,

Chen, Y., Hakala, T., Karjalainen, M., Feng, Z., Tang, J., Litkey, P., Kukko, A., Jaakkola, A. and J Hyyppä, 2017. UAV-Borne Profiling Radar for Forest Research. Remote Sensing (2017), 9(1), 58; doi:10.3390/rs9010058

Chen, Y., Tang, J., Feng, Z., Hakala, T., Hyyppä, J., Zhou, C., Tang, V., Li C, 2017. Possibility of Applying SLAM-Aided LiDAR in Deep Space Exploration. In: Urbach H., Zhang G. (eds) 3rd International Symposium of Space Optical Instruments and Applications. Springer Proceedings in Physics, vol. 192: 239-248. Springer, Cham (book) DOI: 10.1007/978-3-319-49184-4_24

Qian, C.; Liu, H.; Tang, J.; Chen, Y.; Kaartinen, H.; Kukko, A.; Zhu, L.; Liang, X.; Chen, L.; Hyyppä, J. An Integrated GNSS/INS/LiDAR-SLAM Positioning Method for Highly Accurate Forest Stem Mapping. Remote Sens. 2017, 9, 3. (ISI)

Liu, K., Chen, R., Chu, T., Wang, Y., Liu, J., Chen, Y., & Pei, L. (2016). Recognizing Human Activities in Smartphones: A Comprehensive Algorithm Assessment of a Multiple Context Approach. Journal of Residuals Science & Technology, 13(6).

Domingues Franceschini MH, Bartholomeus H, van Apeldoorn D, Suomalainen J, Kooistra L. Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production. Sensors. 2017; 17(6):1428. doi:10.3390/s17061428

Honkavaara, E., Rosnell, T., Oliveira, R.,Tommaselli, A. 2017. Band registration of tuneable frame format hyperspectral UAV imagers in complex scenes. ISPRS Journal of Photogrammetry and Remote Sensing, Vol 134, 2017, pp.96-109. https://doi.org/10.1016/j.isprsjprs.2017.10.014

Hyyppä, J., Virtanen, J-P., Jaakkola, A., Yu, X., Hyyppä, H., Liang, X. 2017. Feasibility of Google Tango and Kinect for Crowdsourcing Forestry Information. Forests 2018. 9, 6. doi:10.3390/f9010006

Jaakkola, A., Hyyppä, J., Yu, X., Kukko, A., Kaartinen, H., Liang, X., ... & Wang, Y. (2017). Autonomous Collection of Forest Field Reference—The Outlook and a First Step with UAV Laser Scanning. Remote Sensing, 9(8), 785.

Jiang, C., Chen, S., Bo, Y., Chen, Y., Wei, T., and C. Wang, 2017. Research of a Fault Tolerant Vector Tracking Based GNSS/SINS Deep Integration Navigation System. Journal of Aeronautics, Astronautics and Aviation, 49(3): 171-180. https://doi.org/10.6125/16-1130-914

Jiang, C., Chen, S., Chen, Y., Bo, Y., Wang C. and W. Tao. 2017. Performance Analysis of Vector Tracking Loop Based GNSS/CSAC Integrated Navigation System. Journal of Aeronautics, Astronautics and Aviation. 49(3): 239-248. DOI: 10.6125/17-0413-935

Junttila, S., Vastaranta, M., Hämäläinen, J., Latva-käyrä, P., Holopainen, M., Hernández Clemente, R., Hyyppä, H. & Navarro-Cerrillo, RM. (2017) Effect of forest structure and health on the relative surface temperature captured by airborne thermal imagery – Case study in Norway Spruce-dominated stands in Southern Finland. Scandinavian Journal of Forest Research, vol. 32, no. 2, pp. 154-165.

Kaartinen, H., Uro, T., Hyyppä, J., Matikainen, L., and A. Kukko, 2017. 3D-karttatuotanto siirtyy vihdoin mustavalkomaailmasta väri-TV-aikaan – lupaa yhteiskunnalle merkittäviä säästöjä. Tekniikka & Talous 31.8.2017. https://www.tekniikkatalous.fi/teknologiamurrokset/3d-karttatuotanto-siirtyy-vihdoin-mustavalkomaailmasta-vari-tv-aikaan-lupaa-yhteiskunnalle-merkittavia-saastoja-6673032

Kankare, V., Holopainen, M., Vastaranta, M., Liang, X., Yu, X., Kaartinen, H., ... & Hyyppä, J. (2017). Outlook for the Single-Tree-Level Forest Inventory in Nordic Countries. In The Rise of Big Spatial Data (pp. 183-195). Springer International Publishing.

Karila, K., Matikainen, L., Puttonen, E., & Hyyppä, J. (2017). Feasibility of Multispectral Airborne Laser Scanning Data for Road Mapping. IEEE Geoscience and Remote Sensing Letters, 14(3), 294-298. DOI:10.1109/LGRS.2016.2631261

Kasvi, E., Hooke, J., Vaaja, M., Virtanen, J.-P., Hyyppä, H., Alho, P. (2017) Modern empirical and modelling study approaches in fluvial geomorphology to elucidate sub-bend-scale meander dynamics. Progress in Physical Geography.

Khoramshahi, E., Eija Honkavaara and Tomi Rosnell (Finland): An Automatic Method for Adjustment of a Camera Calibration Room, FIG Working Week 2017 Surveying the world of tomorrow - From digitalisation to augmented reality Helsinki, Finland, May 29–June 2, 2017.

Kukko, A., Kaijaluoto, R., Kaartinen, H., Lehtola, V. V., Jaakkola, A., Hyyppä, J. 2017. Graph SLAM correction for single scanner MLS forest data under boreal forest canopy, In ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 132, p.199-209. https://doi.org/10.1016/j.isprsjprs.2017.09.006

Lehtola, V., Kaartinen, H., and A. Nüchter, 2017. Autonomous 3D Modelling of Indoor Spaces - a comparison of mobile indoor scanning methods. GIM International, 31(10): 20-23.

Lehtola, V. V., Kaartinen, H., Nüchter, A., Kaijaluoto, R., Kukko, A., Litkey, P., ... & Kurkela, M. (2017). Comparison of the Selected State-Of-The-Art 3D Indoor Scanning and Point Cloud Generation Methods. Remote Sensing, 9(8), 796.

Lehtola, V.V., Kurkela, M., Rönnholm, P. (2017) Radial distortion from epipolar constraint for rectilinear cameras. J. Imaging 2017,3, 8; doi:10.3390/jimaging3010008

Linnakoski, R., Sugano, J., Junttila, S., Pulkkinen, P., Asiegbu, F. O., Forbes, K. M. 2017. Effects of water availability on a forestry pathosystem: fungal strain-specific variation in disease severity. Scientific reports 7 (1), 13501. https://dx.doi.org/doi:10.1038/s41598-017-13512-y

Liu, J., Hernandez-Pajares, M., Liang, X., An, J., Wang, Z., Chen, R., ... & Hyyppä, J. (2017). Temporal and spatial variations of global ionospheric total electron content under various solar conditions. Journal of geodesy, 91(5), 485-502.

Liu, J., Hyyppä, J., Yu, X., Jaakkola, A., Kukko, A., Kaartinen, H., ... & Hyyppä, H. (2017). A Novel GNSS Technique for Predicting Boreal Forest Attributes at Low Cost. IEEE Transactions on Geoscience and Remote Sensing.

Liu, J., Liang, X., Hyyppä, J., Yu, X., Lehtomäki, M., Pyörälä, J., ... & Chen, R. (2017). Automated matching of multiple terrestrial laser scans for stem mapping without the use of artificial references. International Journal of Applied Earth Observation and Geoinformation, 56, 13-23.

Luoma, V., Saarinen, N., Wulder, M. A., White, J. C., Vastaranta, M., Holopainen, M., & Hyyppä, J. (2017). Assessing Precision in Conventional Field Measurements of Individual Tree Attributes. Forests, 8(2), 38. doi:10.3390/f8020038

Luoma, V., Vastaranta, M., Eyvindson, K., Kankare, V., Saarinen, N., Holopainen, M., & Hyyppä, J. (2017). Errors in the Short-Term Forest Resource Information Update. In The Rise of Big Spatial Data (pp. 155-166). Springer International Publishing.

Markelin, L., Simis, S. G.H., Hunter, P., Spyrakos, E., Tyler, A., Clewley, D., Groom, S. 2017. Atmospheric Correction Performance of Hyperspectral Airborne Imagery over a Small Eutrophic Lake under Changing Cloud Cover. Remote Sensing, 9 (1). 2-22. https://doi.org/10.3390/rs9010002

Matikainen, L., Karila, K., Hyyppä, J., Litkey, P., Puttonen, E., & Ahokas, E. (2017). Object-based analysis of multispectral airborne laser scanner data for land cover classification and map updating. ISPRS Journal of Photogrammetry and Remote Sensing, 128, 298-313.

Nevalainen, O., Honkavaara, E., Tuominen, S., Viljanen, N., Hakala, T., Yu, X., ... & Tommaselli, A. M. (2017). Individual tree detection and classification with UAV-based photogrammetric point clouds and hyperspectral imaging. Remote Sensing, 9(3), 185. doi:10.3390/rs9030185

Nevalainen, O., Eija Honkavaara, Tomi Rosnell, Teemu Hakala, Roope Näsi and Kimmo Nurminen (2017): Unmanned Aerial Vehicles in Municipality Level 3D Topographic Data Production in Urban Areas, FIG Working Week 2017, Helsinki, Finland, May 29–June 2, 2017.

Näsi, R., Honkavaara, E., Hakala, T., Viljanen, N., Peltonen-Sainio, P. (2017). How farmer can utilize drone mapping? FIG Working Week 2017 Surveying the world of tomorrow - From digitalisation to augmented reality Helsinki, Finland, May 29–June 2, 2017.

Palonen, T., Hyyti, H., & Visala, A. (2017). Augmented Reality in Forest Machine Cabin. The 20th World Congress of the International Federation of Automatic Control, 9-14 July 2017 (IFAC 2017) Tolouse, France.

Piermattei, L., Hollaus, M., Pfeifer, N., Chen, Y., Karjalainen, M., Hakala, T., ... & Wagner, W. (2017, April). Comparing helicopter-borne profiling radar with airborne laser scanner data for forest structure estimation. In EGU General Assembly Conference Abstracts (Vol. 19, p. 13741).

Van Puijenbroek, M. E. B., Nolet, C., de Groot, A. V., Suomalainen, J. M., Riksen, M. J. P. M., Berendse, F., and Limpens, J.(2017): Exploring the contributions of vegetation and dune size to early dune building using unmanned aerial vehicle (UAV)-imaging, Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-170

Pyörälä, J., Kankare, V., Vastaranta, M., Rikala, J., Holopainen, M., Sipi, M., ... & Uusitalo, J. (2017). Comparison of Terrestrial Laser Scanning and X-ray Scanning in Measuring Scots Pine (Pinus sylvestris L.) Branch Structure. Scandinavian Journal of Forest Research, 1-23.

Roosjen PPJ, Suomalainen JM, Bartholomeus HM, Kooistra L, Clevers, JGPW. (2017). Mapping Reflectance Anisotropy of a Potato Canopy Using Aerial Images Acquired with an Unmanned Aerial Vehicle. Remote Sensing. 2017; 9(5):417.

Saarinen, N., Kankare, V., Vastaranta, M., Luoma, V., Pyörälä, J., Tanhuanpää, T., ... & Yu, X. (2017). Feasibility of Terrestrial laser scanning for collecting stem volume information from single trees. ISPRS Journal of Photogrammetry and Remote Sensing, 123, 140-158. https://doi.org/10.1016/j.isprsjprs.2016.11.012

Tanhuanpää, T., Saarinen, N., Kankare, V., Nurminen, K., Vastaranta, M., Honkavaara, E., ... & Hyyppä, J. (2017). Accuracy of High-Altitude Photogrammetric Point Clouds in Mapping. In The Rise of Big Spatial Data (pp. 167-181). Springer International Publishing.

Tuominen, S., Balazs, A., Honkavaara, E., Pölönen, I., Saari, H., Hakala, T., Viljanen, N. 2017. Hyperspectral UAV-imagery and photogrammetric canopy height model in estimating forest stand variables. Silva Fennica vol. 51(5) article id 7721. 21 p. https://doi.org/10.14214/sf.7721

Virtanen, J.-P., Kukko, A., Kaartinen, H., Jaakkola, A., Turppa, T., Hyyppä, H., Hyyppä, J., 2017. Nationwide Point Cloud—The Future Topographic Core Data. ISPRS International Journal of Geo-Information. 2017; 6(8):243.

Yu, X., Hyyppä, J., Litkey, P., Kaartinen, H., Vastaranta, M. & Holopainen, M. (2017.)Single-Sensor Solution to Tree Species Classification Using Multispectral Airborne Laser Scanning. Remote Sens. 2017, 9(2), 108. doi:10.3390/rs9020108

Zhang B J, Wang Z M, Li F, An J C, Yang Y D, Liu J B, 2017. Estimation of present-day glacial isostatic adjustment, ice mass change and elastic vertical crustal deformation over the Antarctic ice sheet. Journal of Glaciology, 63(240): 703-715. doi: 10.1017/jog.2017.37

Zhu, L., Juha Suomalainen, Eero Salminen, Juha Hyyppä, Harri Kaartinen, Arttu Julin and Hannu Hyyppä (Finland): Augmented Reality and Remote Sensing: Using Multi-Spectrum to Exhibit Our Physical Environment (9029)  FIG Working Week 2017 Surveying the world of tomorrow - From digitalisation to augmented reality Helsinki, Finland, May 29–June 2, 2017.

2016

Ahokas, E., Hyyppä, J., Yu, X., Liang, X., Matikainen, L., Karila, K., Litkey, P., Kukko, A., Jaakkola, A., Kaartinen, H., Holopainen, M., Vastaranta, M. 2016. Towards automatic single-sensor mapping by multispectral airborne laser scanning . ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol.XLI-B3, 155-162.

Anttila, K., Hakala, T., Kaasalainen, S., Kaartinen, H., Nevalainen, O., Krooks, A., Kukko, A., Jaakkola, A. 2016. Calibrating laser scanner data from snow surfaces: Correction of intensity effects. Cold Regions Science and Technology 121, 52-59.

Chen, F., Wang, S-W., Liu, X., Ji, R., Li, Z., Chen, X., Chen, Y., Lu, W. 2016. Colorful solar selective absorber integrated with different colored units . Optics Express 24:2, A92-A103.

Chen, J., Tang, J., Khoramshahi, E., Hyyppä, J., Kaartinen, H. 2016. Scan Matching Technology for Forest Navigation with Mapping Information . Proceeding of Position, Location and Navigation Symposium (PLANS), 2016 IEEE/ION.  

Djuricic, A., Puttonen, E.,, Harzhauser, M., Dorninger, P. Székely, B., Mandic, O., Nothegger, C.. Molnár, G.. Pfeifer, N. 2016. Application of Reflectance Transformation Imaging Technique to Improve Automated Edge Detection in a Fossilized Oyster Reef . Geophysical Research Abstracts, EGU General Assembly 2016 Vol. 18, EGU2016-8467-2.

Djuricic, A., Puttonen, E., Harzhauser, M., Mandic, O., Székely, B., Pfeifer, N. 2016. 3D Central Line Extraction of Fossil Oyster Shells . ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences Vol. III-5, 121-128.

Honkavaara, E., Eskelinen, M., Pölönen, I., Saari, H., Ojanen, H., Mannila, R., Holmlund, C., Hakala, T., Litkey, P., Rosnell, T., Viljanen, N., Pulkkanen, M. 2016.  Remote sensing of 3D geometry and surface moisture of peat production area using hyperspectral frame cameras in visible to short-wave infrared spectral ranges onboard small unmanned airborne vehicle (UAV) . IEEE Transactions on Geoscience and Remote Sensing 54:9, 5440-5454.

Honkavaara, E., Hakala, T., Nevalainen, O., Viljanen, N., Rosnell, T., Khoramshahi, E., Näsi, R., Oliveira, R, Tommaselli, A. 2016. Geometric and reflectance signature characterization of complex canopies using hyperspectral stereoscopic images from UAV and terrestrial platforms . ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol.  XLI-B7, 77-82.

Junttila, S., Vastaranta, M., Hämäläinen, J., Latva-käyrä, P., Holopainen, M., Hernández Clemente, R., Hyyppä, H., Navarro-Cerrillo, R.M. 2016. Effect of forest structure and health on the relative surface temperature captured by airborne thermal imagery – Case study in Norway Spruce-dominated stands in Southern Finland . Scandinavian Journal of Forest Research.

Kaasalainen. S., Nevalainen. O., Hakala. T., Anttila, K. 2016. Incidence angle dependency of leaf vegetation indices from hyperspectral lidar measurement. Photogrammetrie Fernerkundung Geoinformation 2, 75-84.

Kankare, V., Puttonen, E., Holopainen, M., Hyyppa, J. 2016. The effect of TLS point cloud sampling on tree detection and diameter measurement accuracy . Remote Sensing Letters 7:5, 495-502.

Kantola, T., Lyytikäinen-Saarenmaa, P., Coulson, R.N., Holopainen, M., Tchakerian, M.D., Streett, D.A. 2016. Development of monitoring methods for Hemlock Woolly Adelgid induced tree mortality within a Southern Appalachian landscape with inhibited access. iForest Biogeosciences and Forestry 9, 178-186. DOI: https://doi.org/10.3832/ifor1712-008

Karjalainen, M., Karila, K., Liang, X., Yu, X., Huang, G., Lijun, L. 2016. On the Estimation of Forest Resources Using 3D Remote Sensing Techniques and Point Cloud Data . Proceedings of the Dragon 3 Final Results Symposium, Wuhan, P.R. China, 4–8 July 2016.

Katoh, M., Yu, X., Hyyppä, J. 2016. Application of ITD method by tree species with LiDAR data in Akasawa old-growth Chamaecyparis obtusa forest . 127th Annual Japanese Forest Society meeting.

Kauhanen, H., Rönnholm, P., Lehtola, V.V. 2016. Motorized Panoramic Camera Mount – Calibration and Image Capture . ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences Vol. III-5, 89-96.

Lehtomäki, M., Jaakkola, A., Hyyppä, J., Lampinen, J., Kaartinen, H., Kukko, A., Puttonen, E., Hyyppä, H. 2016. Object Classification and Recognition from Mobile Laser Scanning Point Clouds in a Road Environment . IEEE Transactions on Geoscience and Remote Sensing 54:2, 1226-1239.

Lehtola, V.V., Virtanen, J-P., Rönnholm, P., Nüchter, A. 2016. Localization Corrections for Mobile Laser Scanner using Local Support-Based Outlier Filtering . ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. III-4, 81-88.

Liang, X., Kankare, V., Hyyppä, J., Wang, Y., Kukko, A., Haggrén, H., Yu, X., Kaartinen, H., Jaakkola, A., Guan, F., Holopainen, M., Vastaranta, M. 2016. Terrestrial laser scanning in forest inventories . ISPRS Journal of Photogrammetry and Remote Sensing 115, 63-77.

Liu, J., Hyyppä, J., Yu, X., Jaakkola, A., Liang, X., Kaartinen, H., Kukko, A., Zhu, L., Wang, Y., Hyyppä, H. 2016. Can global navigation satellite system signals reveal the ecological attributes of forests? International Journal of Applied Earth Observation and Geoinformation 50, 74-79.

Lin, Y., Hyyppä, J. 2016.  A comprehensive but efficient framework of proposing and validating feature parameters from airborne LiDAR data for tree species classification . International Journal of Applied Earth Observation and Geoinformation 46, 45-55.

Näsi, R., Honkavaara, E., Tuominen, S., Saari, H., Pölönen, I., Hakala, T., Viljanen, N., Soukkamäki, J., Näkki, I., Ojanen, H., Reinikainen, J. 2016. Uas Based Tree Species Identification Using the Novel FPI Based Hyperspectral Cameras in Visible, NIR and SWIR Spectral Ranges . ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol. XLI-B1, 1143-1148.

Matikainen, L., Hyyppä, J., Litkey, P. 2016. Multispectral airborne laser scanning for automated map updating . ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol. XLI-B3, 323-330.

Matikainen, L., Lehtomäki, M., Ahokas, E., Hyyppä, J., Karjalainen, M., Jaakkola, A., Kukko, A., Heinonen, T. 2016. Remote Sensing methods for power line corridor surveys . ISPRS Journal of Photogrammetry and Remote Sensing 119: 10-31.

Pei L., Zhang, M., Zou, D., Chen, R., Chen, Y. 2016. A Survey of Crowd Sensing Opportunistic Signals for Indoor Localization . Mobile Information Systems, 1-16.  

Puttonen, E., Briese, C., Mandlburger, G., Wieser, M., Pfennigbauer, M., Pfeifer, N. 2016. Quatification of diurnal birch (Betula pendula) branch displacement with short interval terrestrial laser scanning . Frontiers in Plant Science 7:222.

Puttonen,  E.,  Hakala,  T.,  Nevalainen,  O.,  Kaasalainen,  S.,  Krooks,  A.,  Karjalainen,  M., Anttila,  K. 2016. Hyperspectral  Spatio-Temporal  Point  Cloud  Dataset  Collected With Finnish   Geospatial   Research   Institute   Hyperspectral   Laser   Scanner .  Dataset and technical report, p. 7, version v. 2016-04-04.

Rönnholm, P., Liang, X., Kukko, A., Jaakkola, A., Hyyppä, J. 2016. Quality Analysis and Correction of Mobile Backpack Laser Scanning Data . ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences Vol. III:1, 41-47.

Saarinen, N., Vastaranta, M., Honkavaara, E., Wulder, M.A., White J.C., Litkey, P., Holopainen, M., Hyyppä, J. 2016. Using Multi-Source Data to Map and Model the Predisposition of Forests to Wind Disturbance . Scandinavian Journal of Forest Research 31:1, 66-79.

Siipilehto J., Lindeman H., Vastaranta M., Yu X., Uusitalo J. 2016. Reliability of the predicted stand structure for clear-cut stands using optional methods: airborne laser scanning-based methods, smartphone-based forest inventory application Trestima and pre-harvest measurement tool EMO . Silva Fennica 50:3.

Sun, Y., Liang, X., Liang, Z., Welham, C., Li, W., 2016. Deriving Merchantable Volume in Poplar through a Localized Tapering Function from Non-Destructive Terrestrial Laser Scanning . Forests 7:4, 87.

Tanhuanpää, T., Saarinen, N., Kankare, V., Nurminen, K., Vastaranta, M., Honkavaara, E., Karjalainen, M., Yu, X., Holopainen, M., Hyyppä, J. 2016. Evaluating the performance of high-altitude aerial image-based digital surface models in detecting individual tree crowns in mature boreal forests . Forests 7:7, 143.

Vaaja, M. T., Virtanen, J-P., Kurkela, M., Lehtola, V., Hyyppä J., Hyyppä, H. 2016. The Effect of Wind on Tree STEM Parameter Estimation Using Terrestrial Laser Scanning . ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences Vol. III-8, 117-122.

Wang, Y., Hyyppä, J., Liang, X., Kaartinen, H., Yu, X., Lindberg, E., Holmgren, J., Qin, Y., Mallet, C., Ferraz, A., Tor-abzadeh, H., Morsdorf, F., Zhu, L., Liu, J., Alho, P. 2016. International Benchmarking of the Individual Tree Detection Methods for Modeling 3D Canopy Structure for Silviculture and Forest Ecology Using Airborne Laser Scanning . IEEE Transactions on Geoscience and Remote Sensing, 54:9, 5011-5027.

Wang, D., Hollaus, M., Puttonen, E., Pfeifer, N. 2016. Fast and Robust Stem Reconstruction in Complex Environments using Terrestrial Laser Scanning . ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol.XLI-B3, 411-417

Wang, Y., Hyyppä, J., Liang X., Kaartinen, H., Yu, X., Lindberg, E., Holmgren, J., Qin, Y., Mallet, C., Ferraz, A., Torabzadeh, H., Morsdorf, F., Zhu, L., Liu, J., Alho, P. 2016. International Benchmarking of the Individual Tree Detection Methods for Modeling 3-D Canopy Structure for Silviculture and Forest Ecology Using Airborne Laser Scanning . IEEE Transactions on Geoscience and Remote Sensing 54:9, 5011-5027.

Vastaranta, M., Niemi, M., Wulder, M.A., White, J.C., Nurminen, K., Litkey, P., Honkavaara, E., Holopainen, M., Hyyppä, H. 2016. Forest stand age classification using time series of photogrammetrically derived digital surface models . Scandinavian Journal of Forest Research 31:2, 194-205.

Vauhkonen J., Holopainen M., Kankare V., Vastaranta M., Viitala R. 2016. Geometrically explicit description of forest canopy based on 3D triangulations of airborne laser scanning data. Remote Sensing of Environment 173, 248-257.

White, J. C., Coops, N. C., Wulder, M.A., Vastaranta, M., Hilker, T., Tompalski P. 2016. Remote Sensing Technologies for Enhancing Forest Inventories: A Review . Canadian Journal of Remote Sensing 42:5, 619-641.

Virtanen, J-P., Hyyppä, H., Ståhle, P., Kalliokoski, S., Kähkönen, K.E., Ahlavuo, M., Launonen, P., Hyyppä, J., Kukko, A., Julin, A. 2016. New value chains to construction . In Achour, N. (Ed.) Proceedings of the CIB World Building Congress 2016: Volume V - Advancing Products and Services, 954-965. Tampere University of Technology. Department of Civil Engineering. Construction Management and Economics. Report Vol. 18.

Virtanen, J-P., Kurkela, M., Hyyppä, H., Niemi, S., Kalliokoski, S., Vanhatalo, S., Hyyppä, J., Haggrén, H. 2016. Visualization of building models and sensor data using open 3D platforms . In Nenonen, S., & Junnonen, J-M. (Eds.) Proceedings of the CIB World Building Congress 2016: Volume IV - Understanding Impacts and Functioning of Different Solutions, 178-189. Tampere University of Technology. Department of Civil Engineering. Construction Management and Economics. Report Vol. 18.

Virtanen, J.P., Hyyppä, H., Hollström, T., Markkula, M., Ahlavuo, M., Salonen, A., Hyyppä, J. 2016. Future of the multidimensional digital built environment . In Kähkönen, K., & Keinänen, M. (Eds.) Proceedings of the CIB World Building Congress 2016: Volume I - Creating built environments of new opportunities, 706-717. Tampere University of Technology. Department of Civil Engineering. Construction Management and Economics. Report Vol. 18.

Zou, R., Chen, Y., Koivula, H., Poutanen, M., Tang, J.,  Niu, X., Shi, C. 2016.  The Performance of Beidou Signals in High Latitude Area in Nordic Countries . IEEE Conference Proceedings, 1-6. European Navigation Conference (ENC) Conference 30 May - 2 June 2016.

2015

Flener, C., Wang, Y., Laamanen, L., Kasvi, E., Vesakoski, J.-M. and P. Alho, 2015. Empirical Modeling of Spatial 3D Flow Characteristics Using a Remote-Controlled ADCP System: Monitoring a Spring Flood. Water 7 (1): 217–247.

Hakala, T., Nevalainen, O., Kaasalainen, S., Mäkipää, R., 2015. Technical Note : Multispectral lidar time series of pine canopy 1629–1634. doi:10.5194/bg-12-1629-2015

Harzhauser, M., Djuricic, A., Mandic, O., Zuschin, M., Dorninger, P., Nothegger, C., Székely, B., Puttonen, E., Molnár, G., Pfeifer, P. 2015, Disentangling the history of complex multi-phased shell beds based on the analysis of 3D point cloud data. Palaeogeography, Palaeoclimatology, Palaeoecology. 437: 165-180, ISSN 0031-0182, https://dx.doi.org/10.1016/j.palaeo.2015.07.038 .

Holopainen, M., Vastaranta, M., Karjalainen, M., Karila, K., Kaasalainen, S. Honkavaara, E. & Hyyppä, J. 2015. Forest inventory attribute estimation using airborne laser scanning, aerial stereoimagery, radargrammetry and interferometry – Finnish experiences of  the 3D techniques. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-3/W4, 2015: 63-69.

Kaasalainen, S., Holopainen, M., Karjalainen, M., Vastaranta, M., Kankare, V., Karila, K., Osmanoglu, B. 2015. Combining Lidar and Synthetic Aperture Radar Data to Estimate Forest Biomass: Status and Prospects, Forests, 6, 1, 252-270.

Kankare, V., Vauhkonen, J., Holopainen, M., Vastaranta, M., Hyyppä, J., Hyyppä, H., Alho, P. Sparse Density, Leaf-Off Airborne Laser Scanning Data in Aboveground Biomass Component Prediction. Forests 2015, 6(6), 1839-1857

Karila, K., Vastaranta, M., Karjalainen, M., Kaasalainen, S. 2015. Tandem-X interferometry in the prediction of forest inventory attributes in managed boreal forests, Remote Sensing of Environment, 259-268.

Kasvi, E., Alho, P., Lotsari, E., Wang, Y., Kukko, A., Hyyppä, H. and J. Hyyppä, 2015. Two-dimensional and three-dimensional computational models in hydrodynamic and morphodynamic reconstructions of a river bend: sensitivity and functionality. Hydrological Processes 29 (6): 1604-1629. DOI: 10.1002/hyp.10277

Kasvi, E., Vaaja, M.,  Kaartinen, H., Kukko, A., Jaakkola, A., Flener, C., Hyyppä, H., Hyyppä, J. and P. Alho, 2015. Sub-bend scale flow–sediment interaction of meander bends — A combined approach of field observations, close-range remote sensing and computational modeling. Geomorphology 238: 119-134. Https://dx.doi.org/10.1016/j.geomorph.2015.01.039.

Lehtola, V.V., Virtanen J.-P., Kukko A., Kaartinen A., Hyyppä H., 2015. Localization of mobile laser scanner using classical mechanics, ISPRS Journal of Photogrammetry and Remote Sensing 99: 25-29. https://dx.doi.org/10.1016/j.isprsjprs.2014.10.008 .

Lehtomäki, M., Jaakkola, A., Hyyppä, J., Lampinen, J., Kaartinen, H., Kukko, A., Puttonen, E. and H. Hyyppä. Object Classification and Recognition from Mobile Laser Scanning Point Clouds in a Road Environment. Accepted for publication in IEEE Transactions on Geoscience and Remote Sensing.

Liang, X., Wang, Y., Jaakkola, A., Kukko, A., Kaartinen, H., Hyyppa, J., Honkavaara, E. and J. Liu, 2015. Forest Data Collection Using Terrestrial Image-Based Point Clouds From a Handheld Camera Compared to Terrestrial and Personal Laser Scanning.  IEEE Transactions on Geoscience and Remote Sensing. 53 (9): 5117-5132. doi: 10.1109/TGRS.2015.2417316

Liu, J., Zhu, L., Wang Y., Liang X., Hyyppä J., Chu T., Liu K. and R. Chen, 2015. Reciprocal Estimation of Pedestrian Location and Motion State toward a Smartphone Geo-Context Computing Solution. Micromachines 2015, 6(6), 699–717; doi:10.3390/mi6060699

Lotsari E., Wang Y., Kaartinen H., Jaakkola A., Kukko A., Vaaja M., Hyyppä H., Hyyppä J., Alho P., 2015. Gravel transport by ice in a subarctic river from accurate laser scanning. Geomorphology  246: 113-122. https://dx.doi.org/10.1016/j.geomorph.2015.06.009 .

Niemi, M., Vastaranta, M., Puhkurinen, J. Holopainen,M. 2015. Forest inventory attribute prediction using airborne laser scanning in low-productive forestry-drained boreal peatlands. Silva Fennica vol. 49, no 2 article id 1218.

Nordbo, A., Karsisto, P., Matikainen, L., Wood, C. R., Järvi, L., 2015. Urban surface cover determined with airborne lidar at 2 m resolution. Implications for surface energy balance modelling. Urban Climate, 13, 52-72

Nurminen, K., Litkey, P., Honkavaara, E., Vastaranta, M., Holopainen, M., Lyytikäinen-Saarenmaa, P., Kantola, T., Lyytikäinen, M. 2015. Automation aspects for the georeferencing of photogrammetric aerial image archives in forested scenes. Remote Sensing, 2015, 7, 1565-1593.

Puttonen, E., Hakala, T., Nevalainen, O., Kaasalainen, S., Krooks, A., Karjalainen, M., Anttila, K., 2015. Artificial target detection with a hyperspectral LiDAR over 26-h measurement. SPIE Optical Engineering 54(1):013105. https://dx.doi.org/10.1117/1.OE.54.1.013105

Puttonen, E., Krooks, A., Kaartinen, H., Kaasalainen, S., March 2015, Ground Level Determination in Forested Environment With Utilization of a Scanner-Centered Terrestrial Laser Scanning Configuration, Geoscience and Remote Sensing Letters, IEEE, vol.12, no.3, pp. 616 – 620. doi: 10.1109/LGRS.2014.2353414

Saarela, S., Graström, A., Ståhl, G., Kangas, A., Holopainen, M., Tuominen, S., Nordkvist, K.& Hyyppä, J. 2015. Model-assisted estimation of growing stock volume using different combinations of LiDAR and Landsat data as auxiliary information. Remote Sensing of Environment 158(2015):431-440. https://doi.org/10.1016/j.rse.2014.11.020

Saarela S., Schnell S., Grafström A., Tuominen S., Nordkvist K., Hyyppä J., Kangas A. and G. Stahl, 2015. Effects of sample size and model form on the accuracy of model-based estimators of growing stock volume. Canadian Journal of Forest Research, 0, 0, 10.1139/cjfr-2015-0077

Saarinen, N., Vastaranta, M., Honkavaara, E., Wulder M.A., White, J.C., Litkey, P., Holopainen, M. & Hyyppä, J., 2015. Using Multi-Source Data to Map and Model the Predisposition of Forests to Wind Disturbance. Scandinavian Journal of Forest Research. Doi: 10.1080/02827581.2015.1056751

Saarinen, N., Vastaranta, M., Honkavaara, E., Wulder, M.A., White, J.C., Litkey, P., Holopainen, M. & Hyyppä, J. 2015. Mapping the risk of forest wind damage using airborne scanning LiDAR. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-3/W2, pp. 189-196. PIA15+HRIGI15 – Joint ISPRS conference 2015, 25–27 March 2015, Munich, Germany.

Tang J., Chen Y., Chen L., Liu J., Hyyppä J., Kukko A, Kaartinen H., Hyyppä H. and R. Chen, 2015. Fast Fingerprint Database Maintenance for Indoor Positioning Based on UGV SLAM. Sensors 2015, 15(3), 5311-5330.  DOI:10.3390/s150305311

Tang J., Chen Y., Niu X., Wang L., Chen L., Liu J., Shi C. and J. Hyyppa, 2015. LiDAR Scan matching aided inertial navigation system in GNSS-denied environments. Sensors 2015, 15, 16710-16728; doi:10.3390/s150716710

Vastaranta M, Gonzalez Latorre, E, Luoma V, Saarinen N, Holopainen M, Hyyppä J. Evaluation of a Smartphone App for Forest Sample Plot Measurements. Forests. 2015; 6(4):1179-1194.

Vastaranta, M., Niemi, M., Wulder, M.A., White, J.C., Nurminen, K., Litkey, P., Honkavaara, E., Holopainen, M. and J. Hyyppä, 2015. Forest stand age classification using time series of photogrammetrically derived digital surface models. Scandinavian Journal of Forest Research. Accepted. DOI: 10.1080/02827581.2015.1060256

Vauhkonen J, Holopainen M, Kankare V, Vastaranta M, Viitala R. 2015. Geometrically explicit description of forest canopy based on 3D triangulations of airborne laser scanning data. Accepted to Remote Sensing of Environment.

Virtanen, J.-P., Hyyppä, H., Kämäräinen, A., Hollström, T. Vastaranta, M. and J. Hyyppä, 2015. Intelligent Open Data 3D Maps in a Collaborative Virtual World. ISPRS Int. J. Geo-Inf. 2015, 4(2), 837-857; doi:10.3390/ijgi4020837.

Zhu, L., Lehtomäki, M., Hyyppä, J., Puttonen, E., Krooks, A. and H. Hyyppä, 2015. Automated 3D Scene Reconstruction from Open Geospatial Data Sources: Airborne Laser Scanning and a 2D Topographic Database. Remote Sensing 7(7):6710-6740. DOI: 10.3390/rs70606710

Karila, K., Karjalainen, M., Yu, X., Vastaranta, M., Holopainen, M. and J. Hyyppä, 2015. Comparison of Tandem-X InSAR and TerraSAR-C stereo-radargrammetric 3D metrics in mapping of forest resources. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-7/W3, 2015 36th International Symposium on Remote Sensing of Environment, 11–15 May 2015, Berlin, Germany.

Luoma, V., Tanhuanpää, T., Holopainen, M., Vastaranta, M., Saarinen, N., Kankare, V., Hyyppä, J. 2015. Allocating Tree Crown Pruning with ALS-data - A Case Study in the City of Helsinki. JURSE 2015 - Joint Urban Remote Sensing Event - Lausanne, Switzerland, March 30. – April 1., 2015.

Tanhuanpää, T., Kankare, V., Vastaranta, M., Saarinen, N., Holopainen,  M., Raisio J. 2015. Deriving canopy metrics of urban trees from airborne laser scanning data. JURSE 2015 - Joint Urban Remote Sensing  Event - Lausanne, Switzerland, March 30. - April 1., 2015.

Zhu, L., Khoramshahi, E., Turppa, T. and  E. Salminen, 2015. Traffic queue length measurement by using combined methods of photogrammetry and digital image processing. Joint Urban Remote Sensing Event (JURSE) 2015, Lausanne, Switzerland, March 30. - April 1., 2015.

Passive Localization of a Robot using Multiple-View Geometry, in Architectural Design of Advanced Swarm Robotics Systems Khoramshahi E., Honkavaara.E, Hyyppä J, Myllymäki P. (accepted Jan 2015)

Peltoniemi, J. I., Gritsevich, M., Puttonen, E., 2015, Reflectance and polarization characteristics of various vegetation types, In: Kokhanovsky, A., (Ed.), Light Scattering Reviews 9, 257-294, Springer Berlin Heidelberg. https://dx.doi.org/10.1007/978-3-642-37985-7_7

2014

Hakala, T., Nevalainen, O., Kaasalainen, S., and R. Mäkipää, 2014. Technical Note: Hyperspectral lidar time series of pine canopy physiological parameters, Biogeosciences Discuss., 11, 15019-15035, doi:10.5194/bgd-11-15019-2014.

Hakala, T., Riihelä, A., Lahtinen, P., & Peltoniemi, J. I. (2014). Hemispherical-directional reflectance factor measurements of snow on the Greenland Ice Sheet during the Radiation, Snow Characteristics and Albedo at Summit (RASCALS) campaign. Journal of Quantitative Spectroscopy and Radiative Transfer. doi:10.1016/j.jqsrt.2014.04.010

Holopainen, M., Vastaranta, M. and J. Hyyppä, 2014. Outlook for the next generation’s precision forestry in Finland. Forests 2014, 5(7), 1682-1694.

Jaakkola, A., Hyyppä, J. and E. Puttonen, 2014. Measurement of Snow Depth Using a Low-Cost Mobile Laser Scanner. IEEE Geoscience and Remote Sensing Letters, vol.11, no.3, pp. 587-591.

Kaasalainen, S., Krooks, A., Liski, J., Raumonen, P., Kaartinen, H., Kaasalainen, M., Puttonen, E., Anttila, K. and R. Mäkipää. Change Detection of Tree Biomass with Terrestrial Laser Scanning and Quantitative Structure Modelling. Remote Sensing 2014, 6(5), 3906-3922. DOI:10.3390/rs6053906

Kankare, V., Joensuu, M., Vauhkonen, J., Holopainen, M., Tanhuanpää, T., Vastaranta, M., Hyyppä, J. Hyyppä, H., Alho, P., Rikala, J. & Sipi, M. 2014. Estimation of the Timber Quality of Scots Pine with Terrestrial Laser Scanning. Forests 2014, 5(8), 1879-1895.

Kankare, V., Vauhkonen, J., Tanhuanpää, T., Holopainen, M., Vastaranta, M., Joensuu, M., Krooks, A., Hyyppä, J., Hyyppä, H., Alho, P. and R. Viitala, 2014. Accuracy in estimation of timber assortments and stem distribution--A comparison of airborne and terrestrial laser scanning techniques. ISPRS Journal of Photogrammetry and Remote Sensing, 97, pp.89--97.

Karila, K., Nevalainen, O., Krooks, A., Karjalainen, M., Kaasalainen, S., 2014. Monitoring Changes in Rice Cultivated Area from SAR and Optical Satellite Images in Ben Tre and Tra Vinh Provinces in Mekong Delta, Vietnam. Remote Sensing 6, 4090–4108. doi:10.3390/rs6054090

Kasvi, E., Alho, P., Lotsari, E., Wang, Y., Kukko, A., Hyyppä, H. and J. Hyyppä, 2014. Two-dimensional and three-dimensional computational models in hydrodynamic and morphodynamic reconstructions of a river bend: sensitivity and functionality. Hydrol. Process.. doi: 10.1002/hyp.10277.

Korpela I., Mehtätalo L., Markelin L., Seppänen A., Kangas A. (2014). Tree species identification in aerial image data using directional reflectance signatures. Silva Fennica vol. 48 no. 3 article id 1087.

Krooks, A., Kahkonen, J., Lehto, L., Latvala, P., Karjalainen, M. and E. Honkavaara, 2014. WebGL Visualisation of 3D Environmental Models Based on Finnish Open Geospatial Data Sets. ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 1, pp.163--169.

Krooks, A., Kaasalainen, S., Kankare, V., Joensuu, M., Raumonen, P. and M. Kaasalainen, 2014. Predicting tree structure from tree height using terrestrial laser scanning and quantitative structure models. Silva Fennica vol. 48 no. 2 article id. 1125.

Liang, X., Jaakkola, A., Wang, Y., Hyyppä, J., Honkavaara, E., Liu, J., Kaartinen, H., 2014. The Use of a Hand-Held Camera for Individual Tree 3D Mapping in Forest Sample Plots. Remote Sensing, 6, 6587-6603.

Liang, X., Hyyppä, J., Kukko, A., Kaartinen, H., Jaakkola, A. and X. Yu, 2014. The use of a mobile laser scanning system for mapping large forest plots. Geoscience and Remote Sensing Letters, IEEE 11 (9), 1504–1508.

Liang, X., Kankare, V., Yu, X., Hyyppä, J. & Holopainen, M. 2014. Automatic stem curve measurement using terrestrial laser scanning. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 52(3):1739-1748.

Liang, X., Kukko, A., Kaartinen, H., Hyyppä, J., Yu, W., Jaakkola, A. and Y. Wang. 2014. Possibilities of a Personal Laser Scanning System for Forest Mapping and Ecosystem Services. Sensors 2014, 14(1), 1228-1248. DOI:10.3390/s140101228

Lin, Y., and J. Hyyppä, 2014. Geometrically modeling 2D scattered points: a review of the potential for methodologically improving mobile laser scanning in data processing. International Journal of Digital Earth 7 (6), 432-449.

Liu,J., Chen, R., An, J., Wang, Z. and J. Hyyppa (2014). Spherical cap harmonic analysis of the Arctic ionospheric TEC for one solar cycle.  Journal of Geophysical Research: Space Physics 119 (1), 601-619

Liu, J. Chen, R., An, J., Wang, Z., and J. Hyyppä, Long-term prediction of the Arctic ionospheric TEC based on time-varying periodograms, PLOS ONE 9(11): e111497. doi:10.1371/journal.pone.0111497.

Lotsari, E., M. Vaaja, C. Flener, H. Kaartinen, A. Kukko, E. Kasvi, H. Hyyppä, J. Hyyppä, and P. Alho (2014). Annual bank and point bar morphodynamics of a meandering river determined by high-accuracy multitemporal laser scanning and flow data, Water Resour. Res., 50, 5532–5559.

Nevalainen, O., Hakala, T., Suomalainen, J., Mäkipää, R., Peltoniemi, M., Krooks, A., Kaasalainen, S., 2014. Fast and nondestructive method for leaf level chlorophyll estimation using hyperspectral LiDAR. Agricultural and Forest Meteorology 198-199, 250–258. doi:10.1016/j.agrformet.2014.08.018

Puttonen, E., Krooks, A., Kaartinen, H., Kaasalainen, S., 2014. Ground Level Determination in Forested Environment With Utilization of a Scanner-Centered Terrestrial Laser Scanning Configuration.Geoscience and Remote Sensing Letters, IEEE , vol.12, no.3, pp.616,620, March 2015

Saarinen, N., Vastaranta , M., Kankare, V., Tanhuanpää, T., Holopainen, M., Hyyppä, J., Hyyppä H. 2014. Urban-Tree-Attribute Update Using Multisource Single-Tree Inventory. Forests. 2014; 5(5):1032-1052.

Tang, J., Chen, Y., Jaakkola, A., Liu, J., Hyyppä, J. and H. Hyyppä, 2014. NAVIS-An UGV Indoor Positioning System Using Laser Scan Matching for Large-Area Real-Time Applications. Sensors. 2014; 14(7):11805-11824.

Tanhuanpää, T., Vastaranta, M., Kankare, V., Holopainen, M., Hyyppä, J., Hyyppä, H., Alho, P. & Raisio, J. 2014. Mapping of urban roadside trees — a case study in the tree register update process in Helsinki City. Urban Forestry & Urban Greening 13(3). In press.

Vastaranta, M., Saarinen, M., Kankare, V., Holopainen, M., Kaartinen, H., Hyyppä, J. and H. Hyyppä. Multisource Single-Tree Inventory in the Prediction of Tree Quality Variables and Logging Recoveries. Remote Sensing 2014, 6(4), 3475-3491. DOI:10.3390/rs6043475

Vastaranta, M., Niemi, M., Karjalainen, M., Peuhkurinen, J., Kankare, V., Hyyppä, J. & Holopainen, M. 2014. Prediction of Forest Stand Attributes Using TerraSAR-X Stereo Imagery. Remote Sensing Vol. 6, No. 4, pp. 3227-3246.

Vastaranta, M., Holopainen, M., Karjalainen, M., Kankare, V., Hyyppä, J. & Kaasalainen, S. 2014. TerraSAR-X stereo radargrammetry and airborne scanning LiDAR height metrics in imputation of forest aboveground biomass and stem volume. IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 2, pp. 1197-1204.

Vesakoski, J-M., Alho, P., Hyyppä, J., Holopainen, M., Flener, C. & Hyyppä, H. 2014. Nationwide Digital Terrain Models for Topographic Depression Modelling in Detection of Flood Detention Areas. Water 6(2):271-300.

Virtanen, J.-P., Hyyppä, H., Kurkela, M., Vaaja, M., Alho, P., Hyyppä, J. , 2014. Rapid Prototyping — A Tool for Presenting 3-Dimensional Digital Models Produced by Terrestrial Laser Scanning. ISPRS Int. J. Geo-Inf. 2014, 3, 871-890.

Yu, X., Litkey, P., Hyyppä, J. Holopainen, M., and Vastaranta, M., 2014. Assessment of Low Density Full-Waveform Airborne Laser Scanning for Individual Tree Detection and Tree Species Classification. Forests 5(5), 1011-1031.

Zhu, L. and Hyyppä, J., 2014. The Use of Airborne and Mobile Laser Scanning for Modelling Railway Environments in 3D. Remote Sens. 2014, 6(4), 3075-3100.

Zhu, L. and Hyyppä, J., 2014. Fully automated power line extraction from airborne laser scanning point clouds in forest areas. Remote Sens. 2014, 6(11), 11267-11282; doi:10.3390/rs61111267.

Ahokas E,  Kaartinen H,  Kukko A,  Litkey P. Test field for airborne laser scanning in Finland. ISPRS Midterm conference, Denver, USA. 17.-20.11.2014.

Liu, J., Chen, Y., Tang, J., Jaakkola, A., and J. Hyyppä, The Uses of Ambient Light for Ubiquitous Positioning, in Proceedings of IEEE/ION PLANS 2014, May 5-8, 2014, California, US.

Liu, J., Chen, L., Chen, Y., Hyyppä, J., Tang, J., Chen, R., Chu, T., Xu, W. and H. Hyyppä. HMM-based pedestrian location and motion joint estimation toward a Smartphone geo-context computing solution, In Proceedings of 3nd International Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Service (UPINLBS 2014), TX 21-23 November, IEEE, 2014.

Liu, J., Chen, R., Chen, Y., Tang, J. and J. Hyyppä (invited). A Bright Idea: Testing the Feasibility of Positioning Using Ambient Light. GPS World (Innovation column), 2014(11). https://gpsworld.com/innovation-a-bright-idea

2013

Ahokas, E., 2013. Aspects of Accuracy, Scanning Angle Optimization, and Intensity Calibration Related to Nationwide Laser Scanning. Doctoral thesis, Aalto University. Publications of the Finnish Geodetic Institute, N:o 150, 124 p. https://urn.fi/URN:ISBN:978-951-711-301-4 

Hellesen, T., Matikainen, L., 2013. An object-based approach for mapping shrub and tree cover on grassland habitats by use of LiDAR and CIR orthoimages. Remote Sensing, 5(2): 558-583. doi:10.3390/rs5020558

Honkavaara E, Litkey P, Nurminen K., 2013. Automatic Storm Damage Detection in Forests Using High‑Altitude Photogrammetric Imagery. Remote Sensing, 5(3): 1405-1424. doi:10.3390/rs5031405

Honkavaara, E., Saari, H., Kaivosoja, J., Pölönen, I., Hakala, T., Litkey, P., Mäkynen, J. and Pesonen, L., 2013. Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture. Remote Sens., 5(10): 5006-5039. doi:10.3390/rs5105006

Kaartinen, H., 2013. Benchmarking of airborne laser scanning based feature extraction methods and mobile laser scanning system performance based on high-quality test fields. Doctoral thesis, Aalto University. Publications of the Finnish Geodetic Institute, N:o 152, 346 p. https://urn.fi/URN:ISBN:978-951-711-305-2 

Kaartinen, H., Hyyppä, J., Kukko, A., Lehtomäki, M., Jaakkola,A., Vosselman, G., Elberink, S.O., Rutzinger, M., Pu, S., Vaaja, M., 2013. Mobile mapping–Road Environment Mapping using Mobile Laser Scanning. EuroSDR Official Publication62, pp. 49-95. www.eurosdr.net/publications/62.pdf‎

Kankare, V., Holopainen, M., Vastaranta, M., Puttonen, E., Yu, X., Hyyppä, J., Vaaja, M., Hyyppä, H. and Alho, P., 2013. Individual tree biomass estimation using terrestrial laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing, 75: 64-75. https://dx.doi.org/10.1016/j.isprsjprs.2012.10.003

Kankare, V.,Räty, M., Yu, X., Holopainen, M., Vastaranta, M., Kantola, T., Hyyppä, J., Hyyppä, H., Alho, P., Viitala, R., 2013. Single tree biomass modelling using airborne laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing, 85: 66-73. https://dx.doi.org/10.1016/j.isprsjprs.2013.08.008

Kankare, V., Vastaranta, M., Holopainen, M., Räty, M., Yu, X., Hyyppä, J., Hyyppä, H., Alho, P., Viitala, R., 2013. Retrieval of Forest Aboveground Biomass and Stem Volume with Airborne Scanning LiDAR. Remote Sens., 5(5): 2257-2274. doi:10.3390/rs5052257

Kantola, T., Vastaranta, M., Lyytikäinen-Saarenmaa, P., Holopainen, M., Kankare, V., Talvitie, M., Hyyppä, J., 2013. Classification of Needle Loss of Individual Scots Pine Trees by Means of Airborne Laser Scanning. Forests 4(2):386-403. doi:10.3390/f4020386

Karila, K., Karjalainen, M., Hyyppä, J., Koskinen, J., Saaranen, V., Rouhiainen, P. 2013. A Comparison of Precise Leveling and Persistent Scatterer SAR Interferometry for Building Subsidence Rate Measurement. ISPRS International Journal of Geo-Information, 2(3): 797-816. doi:10.3390/ijgi2030797

Kukko, A., 2013. Mobile Laser Scanning – System development, performance and applications. Doctoral thesis, Aalto University. Publications of the Finnish Geodetic Institute, N:o 153, 247 p. https://urn.fi/URN:ISBN:978-951-711-307-6 

Liang, X., 2013. Feasibility of Terrestrial Laser Scanning for Plotwise Forest Inventories. Doctoral thesis, Aalto University. Publications of the Finnish Geodetic Institute, N:o 149, 150 p. https://urn.fi/URN:ISBN:978-951-711-299-4 

Liang, X. and Hyyppä, J., 2013. Automatic Stem Mapping by Merging Several Terrestrial Laser Scans at the Feature and Decision Levels. Sensors, 13(2): 1614-1634. doi:10.3390/s130201614

Liang, X., Kankare, V., Yu, X., Hyyppä, J., Holopainen, M., 2013. Automated Stem Curve Measurement Using Terrestrial Laser Scanning, IEEE Transactions on Geoscience and Remote Sensing. doi:10.1109/TGRS.2013.2253783

Lin, Y., Hyyppä, J., Kaartinen, H. and Kukko, A., 2013. Performance Analysis of Mobile Laser Scanning Systems in Target Representation, Remote Sensing, 5(7): 3140-3155. doi:10.3390/rs5073140

Lin, Y., Hyyppä, J. and Kukko, A., 2013. Stop-and-Go Mode: Sensor Manipulation as Essential as Sensor Development in Terrestrial Laser Scanning. Sensors, 13(7): 8140-8154. doi:10.3390/s130708140

Lin, Y., Hyyppa, J., Rosnell, T., Jaakkola, A., Honkavaara, E., 2013.  Development of a UAV-MMS-Collaborative Aerial-to-Ground Remote Sensing System – A Preparatory Field Validation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(4): 1893-1898. doi: 10.1109/JSTARS.2012.2228168

Lin, Y., Puttonen, E. and Hyyppä, J., 2013. Investigation of Tree Spectral Reflectance Characteristics Using a Mobile Terrestrial Line Spectrometer and Laser Scanner. Sensors, 13(7): 9305-9320. doi:10.3390/s130709305

Markelin, L., 2013. Radiometric calibration, validation and correction of multispectral photogrammetric imagery. Doctoral thesis, Aalto University. Publications of the Finnish Geodetic Institute, N:o 148, 160 p. https://urn.fi/URN:ISBN:978-951-711-295-6 

Nurminen, K., Karjalainen, M., Yu, X., Hyyppä, J. and Honkavaara, E., 2013. Performance of dense digital surface models based on image matching in the estimation of plot-level forest variables. ISPRS Journal of Photogrammetry and Remote Sensing, 83: 104 - 115. https://dx.doi.org/10.1016/j.isprsjprs.2013.06.005

Puttonen, E., Lehtomäki, M., Kaartinen, H., Zhu, L., Kukko, A. and Jaakkola, A., 2013. Improved Sampling for Terrestrial and Mobile Laser Scanner Point Cloud Data. Remote Sensing, 5(4): 1754-1773. doi:10.3390/rs5041754

Raumonen, P., Kaasalainen, M., Åkerblom, M., Kaasalainen, S., Kaartinen, H., Vastaranta, M., Holopainen, M., Disney, M., and Lewis P., 2013. Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data. Remote Sensing, 5(2): 491-520. doi:10.3390/rs5020491

Rönnholm, P., Karjalainen, M., Kaartinen, H., Nurminen, K. and Hyyppä, J., 2013. Relative orientation between a single frame image and LIDAR point cloud using linear features. Photogrammetric Journal of Finland, 23(2): 1 - 16. https://foto.hut.fi/seura/julkaisut/pjf/pjf_e/2013/PJF2013_Ronnholm_et_al...

Saarinen, N., Vastaranta, M., Vaaja, M., Lotsari, E., Jaakkola, A., Kukko, A., Kaartinen, H., Holopainen, M., Hyyppä, H., and P. Alho, 2013 Area-Based Approach for Mapping and Monitoring Riverine Vegetation Using Mobile Laser Scanning. Remote Sensing 5(10): 5285–5303. doi:10.3390/rs5105285

Vaaja, M., Kukko, A., Kaartinen, H., Kurkela, M., Kasvi, E., Flener, C., Hyyppä, H., Hyyppä, J., Järvelä, J. and Alho, P., 2013. Data Processing and Quality Evaluation of a Boat-Based Mobile Laser Scanning System. Sensors, 13(9): 12497-12515. doi:10.3390/s130912497

Vastaranta, M., Kantola, T., Lyytikäinen-Saarenmaa, P., Holopainen, M., Kankare, V., Wulder, M., Hyyppä, J. and Hyyppä, H., 2013. Area-based mapping of defoliation of Scots pine stands using airborne scanning LiDAR. Remote Sensing, 5(3): 1220-1234. doi:10.3390/rs5031220

Vauhkonen, J., Hakala, T., Suomalainen, J., Kaasalainen, S., Nevalainen, O., Vastaranta, M., Holopainen, M., Hyyppa, J., 2013. Classification of Spruce and Pine Trees Using Active Hyperspectral LiDAR. IEEE Geoscience and Remote Sensing Letters, 10(5): 1138 - 1141. doi:10.1109/LGRS.2012.2232278

Wang, Y., Liang, X., Flener, C., Kukko, A., Kaartinen, H., Kurkela, M., Vaaja, M., Hyyppä, H. and Alho, P., 2013. 3D Modeling of Coarse Fluvial Sediments Based on Mobile Laser Scanning Data. Remote Sensing, 5(9): 4571-4592. doi:10.3390/rs5094571

Yu, X., Liang, X., Hyyppa, J., Kankare, V., Vastaranta, M. and Holopainen, M., 2013. Stem biomass estimation based on stem reconstruction from terrestrial laser scanning point clouds. Remote Sensing Letters 4(4): 344-353. doi: 10.1080/2150704X.2012.734931.

2012

Honkavaara, E., Markelin, L., Rosnell, T.,and Nurminen, K., 2012. Influence of solar elevation in radiometric and geometric performance of multispectral photogrammetry. ISPRS Journal of Photogrammetry and Remote Sensing , 67(1): 13-26.

Hyyppä, J., Yu, X., Hyyppä, H., Vastaranta, M., Holopainen, M., Kukko, A., Kaartinen, H., Jaakkola, A., Vaaja, M., Koskinen, J., and Alho, P., 2012. Advances in Forest Inventory Using Airborne Laser Scanning. Remote Sensing 4(5), 1190-1207. https://www.mdpi.com/2072-4292/4/5/1190

Kaartinen, H., Hyyppä, J., Yu, X., Vastaranta, M., Hyyppä, H., Kukko, A., Holopainen, M., Heipke, C., Hirschmugl, M., Morsdorf, F., Næsset, E., Pitkänen, J., Popescu, S., Solberg, S., Wolf, B.M., and Wu, J.-C., 2012. An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning. Remote Sensing 4(4), 950-974. https://www.mdpi.com/2072-4292/4/4/950

Karjalainen, M., Kankare, V., Vastaranta, M., Holopainen, M., and Hyyppä, J. 2012. Prediction of plot-level forest variables using TerraSAR-X stereo SAR data. Remote Sensing of Environment Vol. 117, 338-347

Liang, X., Litkey, P., Hyyppä, J., and Kaartinen, H., Vastaranta, M., and Holopainen, M., 2012. Automatic stem mapping using single-scan terrestrial laser scanning. IEEE Transactions on Geoscience and Remote Sensing Vol. 50(2), 661-670; doi: 10.1109/TGRS.2011.2161613

Lin, Y., and Hyyppä, J., 2012. Automatic extraction of parallel edges based on eigenvalue analysis and collateral expansion. International Journal of Remote Sensing, Vol. 33(2), 382-395; doi: 10.1080/01431161.2010.532517.

Matikainen, L. 2012. Object-based interpretation methods for mapping built-up areas. Doctoral thesis, Aalto University. Publications of the Finnish Geodetic Institute N:o 147, 210 p. https://urn.fi/URN:ISBN:978-951-711-293-2 

Puttonen, E. 2012. Tree species classification with multiple source remote sensing data, Doctoral thesis, Helsinki University. Publications of the Finnish Geodetic Institute N:o 145. https://urn.fi/URN:ISBN:978-951-711-289-5 

Rosnell, T., and Honkavaara, E., 2012. Point Cloud Generation from Aerial Image Data by Quadrocopter Type Micro Unmanned Aerial Vehicle and Digital Still Camera. Sensors, Vol. 12, 453-480 ; doi:10.3390/s120100453.

Vastaranta, M., Kankare, V., Holopainen, M., Yu, X., Hyyppä, J., Hyyppä, H. 2012. Combination of individual tree detection and area-based approach in imputation of forest variables using airborne laser data. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 67, 73-79.

2011

Ahokas, E., Hyyppä, J., Yu, X., and M. Holopainen, 2011. Transmittance of Airborne Laser Scanning Pulses for Boreal Forest Elevation Modeling. Remote Sens., Vol. 3(7), 1365-1379; doi:10.3390/rs3071365.

Alho, P., Hyyppä, H., Hyyppä, J., Flener, C., Kasvi, E., Vaaja, M., Kukko, A., Lotsari, E., Hohenthal, J., Kurkela., M., Kaartinen, H., and H. Haggren, 2011. Uudet mittausmenetelmät jokiympäristön kartoituksessa. The Photogrammetric Journal of Finland, Vol. 22(3), 115-127.

Alho, P., Vaaja, M., Kukko, A., Kasvi, E., Kurkela, M., Hyyppä, J., Hyyppä, H., and H. Kaartinen, 2011. Mobile laser scanning in fluvial geomorphology: mapping and change detection of point bars. Zeitschrift fur Geomorphologie, Vol. 55(Suppl.2), 31-50.

Anttila, K., Kaasalainen, S., Krooks, A., Kaartinen, H., Kukko, A., Manninen, T., Lahtinen, P., and N. Siljamo, 2011. Radiometric calibration of TLS intensity: Application to snow cover change detection. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Calgary, Canada, Vol. 38(5/W12). https://www.isprs.org/proceedings/XXXVIII/5-W12/Papers/ls2011_submission_22.pdf

Clark, B., Suomalainen, J., and P. Pellikka, 2011. The selection of appropriate spectrally bright pseudo-invariant ground targets for use in empirical line calibration of SPOT satellite imagery. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 66(4),429-445.DOI: 10.1016/j.isprsjprs.2011.02.003

Clark, B., Suomalainen, J., and P. Pellikka, 2011. An historical empirical line method for the retrieval of surface reflectance factor from multi- temporal SPOT HRV, HRVIR and HRG multispectral satellite imagery. International Journal of Applied Earth Observation and Geoinformation,Vol. 13(2), 292-307. DOI: 10.1016/j.jag.2010.12.004

Heikkinen, V., Korpela, I., Tokola, T., Honkavaara, E., and J. Parkkinen, 2011. An SVM classification of tree species radiometric signatures based on the Leica ADS40 sensor. IEEE Transactions on Geoscience and Remote Sensing, Vol. 49(11), 4539-4551.

Holopainen, M., Hyyppä, J., Vastaranta, M., and Hyyppä, H., 2011. Laserkeilaus metsävarojen hallinnassa. The Photogrammetric Journal of Finland - Special issue of the 80 years anniversary of the Finnish Society of Photogrammetry and Remote Sensing, Vol. 22(3), 128-149.

Holopainen, M., Vastaranta, M., Kankare, V., Hyyppä, J., Liang, X., Litkey, P., Yu, X., Kaartinen, H., Kukko, A., Kaasalainen, S., Hyyppä, H., Vaaja, M., and A. Jaakkola, 2011. The use of ALS, TLS and VLS measurements in mapping and monitoring urban trees. In: Stilla, U., Gamba, P., Juergens, C., and Maktav, D., (Eds): JURSE 2011 - Joint Urban Remote Sensing Event - Munich, Germany, 29 - 32. https://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5764711. doi: 10.1109/JURSE.2011.5764711

Holopainen, M., Vastaranta, M., Kankare, V., Räty, M., Vaaja, M., Liang, X., Yu, X., Hyyppä, J., Hyyppä, H., Viitala R., and S. Kaasalainen, 2011. Biomass estimation of individual trees using stem and crown diameter TLS measurements. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Calgary, Canada, Vol. 38(5/W12). https://www.isprs.org/proceedings/XXXVIII/5-W12/Papers/ls2011_submission_8.pdf

Holopainen, M., Vastaranta, M., Kankare, M., Räty, M, Vaaja, M., Liang, X., Yu,X., Hyyppä, J., Hyyppä, H., Kaasalainen, S., and Viitala, R. 2011. Biomass estimation of individual trees using TLS stem and crown diameter measurements. In Proceeding of Laser Scanning 2011.

Holopainen, M., Vastaranta, M., Kankare, V., Kantola, T., Kaartinen, H., Kukko, A., Vaaja, M., Hyyppä, J., and H. Hyyppä, 2011. Mobile terrestrial laser scanning in urban tree inventory. In Proceedings of Silvilaser 2011.

Honkavaara, E., Nurminen, K., Markelin, L., Suomalainen, J., and R. Ilves, 2011. Calibrating and validating a photogrammetric, spectrodirectional 3D imaging system at a permanent test site, Case study with an Intergraph DMC. Photogrammetric Record, Vol. 26, 229-249.

Honkavaara, E., Markelin, L., and K. Nurminen, 2011. Digitaalinen ilmakuvaus ja sen mahdollisuudet. The Photogrammetric Journal of Finland- Special issue of the 80 years anniversary of the Finnish Society of Photogrammetry and Remote Sensing, Vol. 22(3), 68-81.

Honkavaara, E., Arbiol, R., Markelin, L., Martinez, L., Bovet, S., Bredif, M., Chandelier, L., Heikkinen, V., Korpela, I., Lelegard, L., Perez, F., Schläpfer, D., and Tokola, T., 2011. The EuroSDR project Radiometric aspects of digital photogrammetric images. Results of the empirical phase. Proceedings of the ISPRS Hannover Workshop 2011, June 14-17, 2011, Hannover, 8 p.

Hyyppä, J., 2011. State of the Art in Laser Scanning. In: Photogrammetric Week'11, ed. by Dieter Fritsch. Wichmann Verlag, VDE VERLAG GMBH, Berlin and Offenbach. ISBN 978-3-87907-507-2, 203-216.

Hyyppä, J., and Salonen, A. 2011. Tutkimuksen vaikuttavuuden mittaaminen maanmittaustieteissä. The Photogrammetric Journal of Finland - Special issue of the 80 years anniversary of the Finnish Society of Photogrammetry and Remote Sensing, Vol. 22(3), 22-32.

Kaasalainen, S., Pyysalo, U., Krooks, A., Vain, A., Kukko, A., Hyyppä, J., and M. Kaasalainen, 2011. Absolute Radiometric Calibration of ALS Intensity Data: Effects on Accuracy and Target Classification. Sensors, Vol. 11(11), 10586-10602; doi:10.3390/s111110586. https://www.mdpi.com/1424-8220/11/11/10586/

Kaasalainen, S., Jaakkola, A., Kaasalainen, M., Krooks, A., and A. Kukko, 2011. Analysis of Incidence Angle and Distance Effects on TLS Intensity: Search for Correction Methods. Remote Sensing, Vol. 3(10), 2207-2221; doi:10.3390/rs3102207. https://www.mdpi.com/2072-4292/3/10/2207/

Kaasalainen, S., Kaartinen, H., Kukko, A., Anttila, K., and A. Krooks, 2011. Brief communication "Application of mobile laser scanning in snow cover profiling. The Cryosphere, Vol. 5, 135-138; doi: 10.5194/tc-5-135-2011. www.the-cryosphere.net/5/135/2011/

Kaasalainen, S., Kukko, A., and H. Hyyppä, 2011. Intensiteettitiedon hyödyntäminen laserkeilauksessa. The Photogrammetric Journal of Finland, Vol. 22(3), 159-165.

Kankare, V., Vastaranta, M., Holopainen, M., Yu, X., Hyyppä, J. and Hyyppä, H., 2011. The fusion of individual tree detection and visual interpretation in assessment of forest variables from laser point clouds. In Proceedings of ISPRS workshop on LaserScanning 2011.

Kantola, T., Lyytikäinen-Saarenmaa, P., Vastaranta, M., Kankare, V., Yu, X., Holopainen, M., Talvitie, M., Solberg, S., Puolakka, P., and Hyyppä, J., 2011. Using high density ALS data in plot level estimation of the defoliation by the Common pine sawfly. In Proceedings of Silvilaser 2011.

Karjalainen, M., and K. Karila, 2011. Modernien tutkasatelliittikuvien suorituskyvystä kartoitussovelluksissa. The Photogrammetric Journal of Finland - Special issue of the 80 years anniversary of the Finnish Society of Photogrammetry and Remote Sensing, Vol. 22(3), 150-158. https://foto.hut.fi/seura/julkaisut/pjf/pjf_e/2011/PJF2011_3_Karjalainen_Karila.pdf

Karjalainen, M., Rönnholm, P., and A. Soininen, 2011. Use of Roof Ridges as 3D Line Features in Registration of Aerial Images and Laser Scanning Point Clouds. Published in EuroSDR Official Publication No. 59, 72-78. www.eurosdr.net/publications/59.pdf

Karjalainen, M., Kaasalainen, S., Hyyppä, J., Holopainen, M., Lyytikäinen-Saarenmaa, P., Krooks, A. and A. Jaakkola, 2011. SAR Satellite Images and Terrestrial Laser Scanning in Forest Damages Mapping in Finland. Proceedings of ESA Living Planet Symposium 2010 (ESA Special Publication SP-686), 28.6.-2.7.2010, Bergen, Norway. Unpaginated CD-ROM, 6 p.

Korpela, I., Heikkinen, V., Honkavaara, E., Rohrbach, F., and T. Tokola, 2011. Variation and directional anisotropy of reflectance at the crown scale - Implications for tree species classification in digital aerial images. Remote Sensing of Environment, Vol. 115, 2062-2074.

Kukko, A., and A. Jaakkola, 2011. Liikkuva kartoitus tiedon tuotannon etulinjassa. Maankäyttö, Vol. 1/2011.

Lehtomäki, M., Jaakkola, A., Hyyppä, J., Kukko, A., and H. Kaartinen, 2011.Performance analysis of a pole and tree trunk detection method for mobile laser scanning data. ISPRS Workshop Laser Scanning 2011 Calgary, Canada 29-31 August 2011. https://www.isprs.org/proceedings/XXXVIII/5-W12/Papers/ls2011_submission_36.pdf

Liang, X., Litkey, P., Hyyppä, J., Kaartinen, H., Kukko, A., and M. Holopainen, 2011. Automatic plot-wise tree location mapping using single-scan terrestrial laser scanning. The Photogrammetric Journal of Finland, Vol. 22(2), 37-48.

Liang, X., Hyyppä, J., Kankare, V., and Holopainen, M. 2011. Stem curve measurement using terrestrial laser scanning. In Proceedings of SilviLaser 2011.

Lin, Y., and J. Hyyppä, 2011. k-segments-based Geometric Modeling of VLS Scan Lines. IEEE Geoscience and Remote Sensing Letters, Vol. 8(1), 93-97.

Lin, Y., Hyyppä, J., and A. Jaakkola, 2011. Mini-UAV-borne Lidar for fine-scale mapping. IEEE Geoscience and Remote Sensing Letters, Vol. 8(3), 426-430.

Lin, Y., and J. Hyyppä, 2010. Geometry and intensity based culvert detection in mobile laser scanning point clouds. Journal of Applied Remote Sensing, Vol. 4, Article Number: 043553.

Lin, Y., Hyyppä, J., Matikainen, L., Kaasalainen, S., and E. Ahokas, 2011. Mean shift based segmentation of boats from LiDAR point clouds collected with multiple sampling densities. LiDAR&Radar 2011, Nanjing, May 2011.

Lin, Y., Hyyppä, J., and A. Jaakkola, 2011. Combining mobile and static terrestrial laser scanners to investigate individual crown attributes during foliation. Canadian Journal of Remote Sensing, , Vol. 37(4), 359-375.

Litkey, P., Puttonen, E., and X. Liang, 2011. Comparison of Point Cloud Data Reduction Methods in Single-Scan TLS for Finding Tree Stems in Forest. Proceedings of SilviLaser 2011, Oct. 16-20, 2011, Hobart, Tasmania, Australia.

Marila, S. ja E. Honkavaara, 2011. Peltolohkorekisterin tarkkuustutkimus, EU-laadunvalvonta ja peltolohkorekisterin tarkkuuteen vaikuttavista tekijöistä. Geodeettisen laitoksen tiedonantoja 2011:1. 35 sivua (in Finnish). http://hdl.handle.net/10138/353261 

Matikainen, L., and K. Karila, 2011. Segment-based land cover mapping of a suburban area - comparison of high-resolution remotely sensed datasets using classification trees and test field points. Remote Sensing, Vol. 3(8), 1777-1804. https://www.mdpi.com/2072-4292/3/8/1777/

Matikainen, L., Hyyppä, J., Karila, K., Vaaja, M., and A. Kukko, 2011. Laserkeilaus- ja kuva-aineistojen automaattinen tulkinta karttojen ajantasaistuksessa. The Photogrammetric Journal of Finland- Special issue of the 80 years anniversary of the Finnish Society of Photogrammetry and Remote Sensing, Vol. 22(3), 104-114. https://foto.hut.fi/seura/julkaisut/pjf/pjf_e/2011/PJF2011_3_Matikainen_et_al.pdf

Puttonen, E., Jaakkola, A., Litkey, P., and J. Hyyppä, 2011. Tree Classification with Fused Mobile Laser Scanning and Hyperspectral Data. Sensors, Vol. 11(5), 5158-5182. DOI:10.3390/s110505158. URL https://www.mdpi.com/1424-8220/11/5/5158/

Raumonen, P., Kaasalainen, S., Kaasalainen, M., and H. Kaartinen, 2011. Approximation of volume and branch size distribution of trees from laser scanner data. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Calgary, Canada, Vol. 38(5/W12). https://www.isprs.org/proceedings/XXXVIII/5-12/Papers/ls2011_submission_19.pdf

Riihelä, A., Lahtinen, P., T. and Hakala, 2011. Radiation, Snow Characteristics and Albedo at Summit (RASCALS). Expedition Report. Finnish Meteorological Institute Reports 2011:8, isbn 978-951-697-760-0. https://helda.helsinki.fi/bitstream/handle/10138/28678/2011nro8.pdf?sequence=1

Rosnell, T., Honkavaara, E., and K. Nurminen, 2011. On geometric processing of multi-temporal image data collected by light UAV systems. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. 38, 1/C22, Part A.

Räty, M., Kankare, V., Yu, X., Holopainen, M., Vastaranta, M., Kantola, T., Hyyppä, J., and Viitala, R., 2011. Tree biomass estimation using ALS features. Proceedings of Silvilaser 2011.

Solberg, S., Asturp, R., Lyytikäinen-Saarenmaa, P., Kantola, T., Holopainen, M., Weydahl, D. and H. Kaartinen, 2011. Testing TerraSAR-X for forest disturbance mapping. Research Report for the German Aerospace Center (DLR).

Suomalainen, J., Hakala, T., Kaartinen, H., Räikkönen, E., and S. Kaasalainen, 2011. Demonstration of an active hyperspectral LiDAR in automated point cloud classification. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 66(5), 637-641; doi:10.1016/j.isprsjprs.2011.04.002. https://www.sciencedirect.com/science/article/B6VF4-52T0C29-1/2/1275bc180f8685cfced6c705099c4469

Vaaja, M., Kurkela, M., Hyyppä, H., Alho, P., Hyyppä, J., Kukko, A., Kaartinen, H., Kasvi, E., Kaasalainen, S., and P. Rönnholm, 2011. Fusion of mobile laser scanning and panoramic images for studying river environment topography and changes. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Calgary, Canada, Vol. 38(5/W12). https://www.isprs.org/proceedings/XXXVIII/5-W12/Papers/ls2011_submission_53.pdf

Vaaja, M., Hyyppä, J., Kukko, A., Kaartinen, H., Hyyppä, H. and P. Alho, 2011. Mapping Topography Changes and Elevation Accuracies Using a Mobile Laser Scanner. Remote Sensing, Vol. 3, 587-600. doi:10.3390/rs3030587

Vastaranta, M., Holopainen, M., Yu, X, Hyyppä, J., Mäkinen, A. Rasinmäki, J., Melkas, T., Kaartinen, H., and H. Hyyppä, 2011. Effects of individual tree detection error sources on forest management planning calculations. Remote Sensing,Vol. 3(8), 1614-1626. doi:10.3390/rs3081614.

Vastaranta, M., Holopainen, M, Yu, X., Hyyppä, J. Hyyppä, H., and R. Viitala, 2011. Predicting stand thinning maturity from airborne laser scanning data. Scandinavian Journal of Forest Research, Vol. 26(2), 187-196.

Yu, X. , Hyyppä, J., Vastaranta, M., Holopainen, M., and R. Viitala, 2011. Predicting individual tree attributes from airborne laser point clouds based on random forests technique. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 66, 28-37.

Zhu, L., Hyyppä, J., Kukko, A., and H. Kaartinen, 2011. Photorealistic Building Reconstruction from Mobile Laser Scanning Data. Remote Sensing, Vol. 3(7), 1406-1426. doi:10.3390/rs3071406.

Zhu, L., Hyyppä, J., and Z. Liu, 2011. Automated 3D tree model reconstruction from mobile laser scanning data. ISPRS workshop on 3D city modelling & Applications and the 6th 3D Geoinfo Conference, Wuhan University, China, June 26-28, 2011.

2010

Ahokas E., Hyyppä J., Kaartinen H., Kukko A., Kaasalainen S., and A. Krooks 2010. The effect of biomass and scanning angle on laser beam transmittance. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vienna, Austria, Vol. 38(7A), 1-6. https://www.isprs.org/proceedings/XXXVIII/part7/a/pdf/1_XXXVIII-part7A.pdf

Barnaby, C., Suomalainen, J., and P. Pellikka, 2010.A comparison of methods for the retrieval of surface reflectance factor from multitemporal SPOT HRV, HRVIR, and HRG multispectral satellite imagery. Canadian Journal of Remote Sensing, Vol. 36(4),397-411.

Chen, R., Kuusniemi, H., Hyyppä, J., Zhang, J., Takala, J., Kuittinen, R., Chen, Y., Pei, L., Liu, Z., Zhu, L., Liu, J., Qin, Y., Leppäkoski, H., and J. Wang, 2010. Going 3D personal nav and LBS. GPS World,, Vol. 21 (2), 14-18.

Chen Y., Räikkönen, E., Kaasalainen, S., Suomalainen, J., Hakala, T., Hyyppä, J., and R. Chen, 2010. Two-channel hyperspectral LiDAR with a supercontinuum laser source. Sensors Vol. 10(7), 7057-7066.

Hakala T., Suomalainen, J., and J. Peltoniemi, 2010. Acquisition of Bidirectional Reflectance Factor Dataset Using a Micro Unmanned Aerial Vehicle and a Consumer Camera. Remote Sensing, Vol. 2(3), 819-832. https://www.mdpi.com/2072-4292/2/3/819/

Holopainen M., Haapanen, E., Karjalainen, M., Vastaranta, M., Hyyppä, J.,Yu, X., Tuominen S., and H. Hyyppä, 2010. Comparing Accuracy of Airborne Laser Scanning and TerraSAR-X Radar Images in the Estimation of Plot-Level Forest Variables. Remote Sensing, Vol. 2(2), 432-445. https://www.mdpi.com/2072-4292/2/2/432/

Holopainen, M., Hyyppä, J., Vaario, L-M. & Yrjälä, K. 2010. Implications of Technologial Development to Forestry. Invited book chapter. In Mery, G., Katila P, Galloway, G., Alfaro, R.I., Kanninen, M., Lobovikov, M., Varjo, J. (eds.) Forest and Society - Responding to Global Drivers of Change. IUFRO-World Series Vol. 25, 157-182 (Convening lead authors of the chapter: Hetemäki, L. & Mery, G.).

Holopainen, M., Mäkinen, A., Rasinmäki, J., Hyyppä, J., Hyyppä, H., Kaartinen, H., Viitala R., Vastaranta, M., and A. Kangas, 2010. Effect of tree level airborne laser scanning accuracy on the timing and expected value of harvest decisions. European Journal of Forest Research, Vol. 29, 899-910. https://www.springerlink.com/content/m15jw7633p16g552/

Honkavaara E., Hakala, T., Peltoniemi, J., Suomalainen, J., Ahokas, E., and L. Markelin, 2010. Analysis of Properties of Reflectance Reference Targets for Permanent Radiometric Test Sites of High Resolution Airborne Imaging Systems. Remote Sensing, Vol. 2(8), 1892-1917. https://www.mdpi.com/2072-4292/2/8/1892/

Jaakkola, A., Hyyppä, J., Kukko, A., Yu, X., Kaartinen, M., Lehtomäki, M., and Y. Lin, 2010. A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 65(6), 514-522.

Kaasalainen, S., Niittymäki, H., Krooks, A., Koch, K., Kaartinen, H., Vain, A., and H. Hyyppä, 2010. Effect of target moisture on laser scanner intensity. IEEE Trans. Geosci. Remote Sensing, Vol. 48(4), 2128-2136.

Kaasalainen, S., Kaartinen, H., Kukko, A., Anttila, K., and A. and A. Krooks, 2010. Brief Communication: Application of Mobile Laser Scanning in snow cover profiling. The Cryosphere, Vol. 5(1), 135-138.

Kaasalainen, S., Suomalainen, J., Hakala, T., Chen, Y., Räikkönen, E., Puttonen, E., and H. Kaartinen, 2010. Active Hyperspectral LIDAR Methods for Object Classification. Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010. WHISPERS '10. Second Workshop on, Reykjavik, Iceland.

Kaasalainen, S., Hyyppä, J, Karjalainen, M, Krooks, A., Lyytikäinen-Saarenmaa, P., Holopainen, M., and A. Jaakkola, 2010. Comparison of terrestrial laser scanner and Synthetic aperture radar data in the study of forest defoliation. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vienna, Austria, Vol. 38(7A), 82-87. https://www.isprs.org/proceedings/XXXVIII/part7/a/pdf/82_XXXVIII-part7A.pdf

Kantola, T., Vastaranta, M., Yu, X., Lyytikäinen-Saarenmaa, P., Holopainen, M., Talvitie, M., Kaasalainen, S., Solberg, S., and J. Hyyppä, 2010. Classification of defoliated trees using tree-level airborne laser scanning data combined with aerial images. Remote Sensing, Vol. 2, 2665-2679. doi:10.3390/rs2122665. https://www.mdpi.com/2072-4292/2/12/2665/pdf

Karjalainen, M., Kaasalainen, S., Hyyppä, J., Holopainen, M., Lyytikäinen-Saarenmaa, P., Krooks, A., and A. Jaakkola, 2010. SAR Satellite Images and Terrestrial Laser Scanning in Forest Damages Mapping in Finland. In Proceedings of ESA Living Planet Symposium 2010 (ESA Special Publication SP-686), 28.6.-2.7.2010, Bergen, Norway.

Karjalainen, M., 2010. Multidimensional SAR Satellite Images - A Mapping Perspective. Doctoral thesis, Aalto University. Publications of the Finnish Geodetic Institute N:o 142, 132 p. http://urn.fi/URN:ISBN:978-951-711-281-9 

Korhonen, L., Kaartinen, H., Kukko, A., Solberg, S., and R. Astrup, 2010. Estimating vertical canopy cover with terrestrial and airborne laser scanning. Silvilaser 2010 proceedings.

Korpela I., Orka, H., Hyyppä, J., Heikkinen, V., and T. Tokola, 2010. Range and AGC normalization in airborne discrete-return LiDAR intensity data for forest canopies. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 65(4), 369-379.

Korpela, I., Orka H., Maltamo, M., Tokola, T., and J. Hyyppä, 2010. Tree Species Classification Using Airborne LiDAR - Effects of Stand and Tree Parameters, Downsizing of Training Set, Intensity Normalization, and Sensor Type. Silva Fennica, Vol. 44(2), 319-339.

Krooks, A., Hyyppä, J., Lyytikäinen-Saarenmaa, P., Jaakkola, A., and S. Kaasalainen, 2010. Using Stationary And Mobile Laser Scanner To Detect Forest Defoliation. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Newcastle upon Tyne, UK, Vol. 38(5), 372-374. https://www.isprs-newcastle2010.org/abstract.php?paperID=84

Krooks, A., Hyyppä, J., Lyytikäinen-Saarenmaa, P., Jaakkola, A., Kaasalainen, S., and M. Holopainen, 2010. Monitoring Forest Defoliation with Terrestrial Laser Scanning. Silvilaser 2010 Proceedings, Freiburg, Germany.

Kukko, A., Kaartinen, H., Kaasalainen, S., Vaaja, M., and K. Anttila, 2010. Experiences of mobile mapping in environmental monitoring. In: UPINLBS 2010, Ubiquitous Positioning, Indoor Navigation and Location-Based Service, 14-15.10. Kirkkonummi, Finland.

Kukko, A., Hyyppä, H., Kaartinen, H., Ahlavuo, M. and Vaaja, M., 2010. Liikenneympäristöt kolmiulotteisiksi liikkuvalla kartoituksella. Positio, Vol. 2/2010, 6-8.

Laurila H., Karjalainen, M., Hyyppä, J., and J. Kleemola, 2010. Integrating Vegetation Indices Models and Phenological Classification with Composite SAR and Optical Data for Cereal Yield Estimation in Finland (Part I). Remote Sensing, Vol. 2(1), 76-114. https://www.mdpi.com/2072-4292/2/1/76/

Laurila, H., Karjalainen, M., Hyyppä, J., and J. Kleemola, 2010. Cereal Yield Modeling in Finland Using Optical and Radar Remote Sensing. Remote Sensing, Vol. 2(9), 2185-2239. doi:10.3390/rs2092185

Lehtomäki M., Jaakkola, A., Hyyppä, J., Kukko A., and H. Kaartinen, 2010. Detection of Vertical Pole-Like Objects in a Road Environment Using Vehicle-Based Laser Scanning Data. Remote Sensing, Vol. 2(3), 641-664. https://www.mdpi.com/2072-4292/2/3/641/

Lin Y., Jaakkola, A., Hyyppä, J., and H. Kaartinen, 2010. From TLS to VLS: Biomass Estimation at Individual Tree Level. Remote Sensing, Vol. 2(8), 1864-1879. https://www.mdpi.com/2072-4292/2/8/1864/

Lin, Y., and J. Hyyppä, 2010. Fusion of geometric models from VLS overlapping profiles. IEEE Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS), Hawaii, Jul 2010, 1051-1054.

Lin, Y., and J. Hyyppä, 2010. Leaf area index (LAI) estimation based on vehicle-based laser scanning. IEEE Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS), Hawaii, Jul 2010, 3422-3425.

Markelin, L., Honkavaara, E., Hakala, T., Suomalainen and J., and J. Peltoniemi, 2010. Radiometric stability assessment of an airborne photogrammetric sensor in a test field. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 65(4), 409-421.

Markelin, L., Honkavaara, E., Beisl, U., and I. Korpela, 2010. Validation of the radiometric processing chain of the Leica ADS40 airborne photogrammetric sensor. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences,Vol. 38(7A), 145-150.

Matikainen L., Hyyppä, J., Ahokas, E., Markelin, L., and H. Kaartinen, 2010. Automatic Detection of Buildings and Changes in Buildings for Updating of Maps. Remote Sensing, Vol. 2(5), 1217-1248. https://www.mdpi.com/2072-4292/2/5/1217/

Peltoniemi, J., Suomalainen, J., Hakala, T., Puttonen, E., Näränen, J., Kaasalainen, S., Torppa, J., and M. Hirschmugl, 2010. Reflectance of various snow types: measurements, modelling and potential for snow melt monitoring. In Alexander A. Kokhanovsky, editor. Light Scattering Reviews 5: Single Light Scattering and Radiative Transfer. Springer Praxis Books, 2010.

Peltoniemi, J., Manninen, T., Suomalainen, J., Hakala, T., Puttonen, E., and A. Riihelä, 2010. Land Surface Albedos Computed from BRF Measurements with a Study of Conversion Formulae. Remote Sensing, Vol. 2(8), 1918-1940. https://www.mdpi.com/2072-4292/2/8/1918/

Pisek J., Chen, J.M., Miller, J.M. Freemantle, J.R., Peltoniemi, J.I., and A. Simic, 2010. Mapping forest background reflectance in a boreal region using multi-angle compact airborne spectrographic imager (CASI) data. IEEE Transactions on Geoscience and Remote Sensing, Vol. 48(1), 499-410.

Praks, J., Karjalainen, M., Koskinen, J., Leskinen, A., Luojus, K., Parmes, E., Sucksdorff, Y., Takala, M., and M. Törmä, 2010. Book of Abstracts. Nordic Remote Sensing Days 2009, TKK Radio Science and Engineering Publication, Report R13, 108 p. ISBN 978-952-60-3054-8.

Puttonen, E., Litkey, P., and J. Hyyppä, 2010. Individual Tree Species Classification by Illuminated-Shaded Area Separation. Remote Sensing, Vol. 2(1), 19-35. https://www.mdpi.com/2072-4292/2/1/19/

Puttonen, E., Suomalainen, J., Hakala, T., Räikkönen, E., Kaartinen, H., Kaasalainen, S., and P. Litkey, 2010. Tree Species Classification from Active Hyperspectral Laser Measurements. Forest Ecology & Management Vol. 260(10), 1843-1852. DOI: 10.1016/j.foreco.2010.08.031

Puttonen, E., Litkey, P., Liang, X., Kaartinen, H., and A. Kukko, 2010. Single tree canopy projection area extraction from single-scan terrestrial laser scanner data. In: Silvilaser 2010, 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems,September 14-17, Freiburg,Germany.

Vain, A., Yu, X., Kaasalainen, S., and J. Hyyppä, 2010. Correcting airborne laser scanning intensity data for Automatic Gain Control effect. IEEE Geoscience and Remote Sensing Letters, Vol. 7(3), 511-514.

Vastaranta, M., Holopainen, M, Yu, X., Hyyppä, J., and R. Viitala, 2010. Predicting stand thinning maturity from airborne laser scanning data with canopy-based quantile estimators. Scandinavian Journal of Forest Research, Vol. 26(2), 187-196. DOI:10.1080/02827581.2010.547870. https://dx.doi.org/10.1080/02827581.2010.547870

Yu X., Hyyppä, J., Holopainen, M., and M. Vastaranta, 2010. Comparison of Area-Based and Individual Tree-Based Methods for Predicting Plot-Level Forest Attributes. Remote Sensing, Vol. 2(6), 1481-1495. https://www.mdpi.com/2072-4292/2/6/1481/

Yu, X., Hyyppä, J., Vastaranta, M., Holopainen, M., and R. Viitala, 2010. Predicting individual tree attributes from airborne laser point clouds based on random forests technique. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 66 (1), 28-37.

Zhu, L., Hyyppä, J., Chen, R., and Z. Liu, 2010. An approach for 3D Models simplification for mobile phone based navigation application. In: UPINLBS 2010, Ubiquitous Positioning, Indoor Navigation and Location-Based Service, 14-15.10. Kirkkonummi, Finland.

2009

Alho, P., Hyyppä H., and J. Hyyppä, 2009. Consequence of DTM Precision for Flood Hazard Mapping: A Case Study in SW Finland. Nordic Journal of Surveying and Real Estate Research, Vol. 6(1), 21-39.

Alho, P., Kukko, A., Hyyppä, H., Kaartinen, H., Hyyppä, J,. and A. Jaakkola, 2009. Application of boat-based laser scanning for river survey. Earth Surface Processes and Landforms (Letters to ESEX),, Vol. 34, 1831-1838.

Champion, N., Rottensteiner, F., Matikainen, L., Liang, X., Hyyppä, J., Olsen, B. P., 2009. A test of automatic building change detection approaches. Proceedings of the ISPRS Workshop CMRT09, Paris, France, 3-4 September, 2009. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII, Part 3/W4, 145-150.

Chen, Y., Chen, R., Kröger, T., Kukko, A., and J. Hyyppä, 2009. Pulsewidth Coding Approach for Multi-sensor Synchronization of Urban Mobile Mapping System. 3D city model for mobile phone using MMS data, 2009 Urban Remote Sensing Joint Event, 20.-22. May, Shanghai.

Chen, R., Hyyppä, J., Kuittinen, R., Chen, Y., Pei, L., Zhu, L., Kuusniemi, H., Takala, J., Leppäkoski, H., Zhang, J., Liu, Z., and W. Jianyu, 2009. Development of a 3D Personal Navigation and LBS System with Demonstration in Shanghai EXPO in 2010. In Proceedings of ION GNSS 2009, Savannah, GA, USA, 22-25.9.2009.

Chen, R., Hyyppä, J. Takala, J. Zhang, J., Wang, J., Liu, Z., Pei, L., Chen, Y., Kuusniemi, H., Liu, J., Zhu, L., Leppäkoski, H., and R. Kuittinen, 2009. Development of a smart phone based 3D personal navigation and LBS system. In Proceedings of IAIN 2009 World Congress, Stockholm, Sweden, 27-30.10.2009.

Gulch, E., Kaartinen, H., and J. Hyyppä, 2009. Quality of Buildings extracted from airborne laser scanning data: results of an empirical investigation on 3D building reconstruction, s. 535-574. Kirjassa: Topographic Laser Ranging and Scanning: principles and processing, CRC Press, Taylor & Fracis London, Eds. J. Shan ja C. Toth., 590 s.

Hakala, T., 2009. Improvements, calibration, and accuracy of the Finnish Geodetic Institute Field Goniospectrometer. Diplomityö, Teknillinen korkeakoulu, Espoo.

Holopainen, M., Tuominen, S., Karjalainen, M., Hyyppä, J., Vastaranta, M., and H. Hyyppä, 2009. Accuracy of high-resolution radar images in the estimation of plot-level forest variables. In Sester, M., Bernard, L. & Paelke, V. (eds.). Advances in GIScience. Lecture notes in geoinformation and cartography. Springer 2009, 67-82.

Holopainen, M., Haapanen, R., Karjalainen, M., Vastaranta, M., Hyyppä, J., Yu, X., Tuominen, S., and H. Hyyppä, 2009. Combination of Low Pulse ALS Data and TerraSAR-X Radar Images in the Estimation of Plot-Level Forest Variables. Proceedings of the ISPRS Workshop Laserscanning 2009, Eds. F. Bretar, M. Pierrot-Deseilligny, G. Vosselman, Paris, France, 1-2 September 2009. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII (3 / W8), 135-140.

Holopainen, M., Vastaranta, M., Mäkinen, A., Rasinmäki, J., Hyyppä, J., Hyyppä, H., and H. Kaartinen, 2009. The Use of Tree Level ALS Data in Forest Management Planning Simulations. Photogrammetric Journal of Finland, Vol. 21(2), 13-25.

Holopainen, M., Vastaranta, M., Yu, X., Hyyppä, J., Kaartinen, H., and H. Hyyppä, 2009. Forest site type classification using single tree level Airborne Laser Scanning. In: Popescu, S., Nelson, R., Zhao, K. and A. Neuemschwander, (eds.). Proceedings of Silvilaser 2009, 72-80.

Holopainen, M., and J. Hyyppä, 2009. Kohden lasermittauksiin perustuvaa täsmämetsätaloutta. Metsätieteen aikakauskirja, Vol. 4, 357-360.

Honkavaara, E., Arbiol, R., Markelin, L., Martinez L., Cramer, M., Korpela, I., Bovet, S., Thom, C., Chandelier, L., Ilves, R., Klonus, S., Reulke, R., Marshall, P., Tabor, M., Schläpfer, D., and N. Veje, 2009. Status report of the EuroSDR project Radiometric aspects of digital photogrammetric airborne images. Proceedings of the ISPRS Hannover Workshop 2009, Hannover, Germany, June 2-5, 2009.

Hyyppä, J., Wagner, W., Hollaus, M., and H. Hyyppä, 2009. Airborne Laser Scanning. In: The SAGE Handbook of remote sensing, Eds. T. A. Warner, M.D. Nellis, G. M. Foody, SAGE Publications, 568 s.

Hyyppä, J., Hyyppä, H., Yu, X., Kaartinen, H., Kukko, A., and M. Holopainen, 2009. Forest inventory using small-footprint airborne lidar, s. 335-370, In: Topographic Laser Ranging and Scanning: principles and processing, CRC Press, Taylor & Fracis London, Eds. J. Shan ja C. Toth., 590 s.

Hyyppä, J., Jaakkola, A., Hyyppä, H., Kaartinen, H., Kukko, A., Holopainen, M., Zhu, L., Vastaranta, M., Kaasalainen, S., Krooks, A., Litkey, P., Lyytikäinen-Saarenmaa,P., Matikainen, L., Rönnholm, P., Chen, R., Chen, Y., Kivilahti, A., and I. Kosonen, 2009. Map Updating and Change Detection Using Vehicle-Based Laser Scanning, 2009 Urban Remote Sensing Joint Event, 20.-22. May, Shanghai.

Hyyppä, J., Holopainen, M., Vastaranta, M., and E. Puttonen, 2009. Yksittäisten puiden mittaus ja seuranta laserkeilauksella. Metsätieteen aikakauskirja, Vol. 4, 361-365.

Hyyppä, J., Lyytikäinen-Saarenmaa, P., Holopainen, M., Litkey, P., Hyyppä, H, and S. Kaasalainen, 2009. Lasermittauksiin perustuva biomassamuutosten ja metsätuhojen seuranta. Metsätieteen aikakauskirja, Vol. 4, 366-369.

Kaasalainen, S., Hyyppä, H., Kukko, A., Litkey, P., Ahokas, E., Hyyppä, J., Lehner, H., Jaakkola, A., Suomalainen, J., Akujärvi, A., Kaasalainen, M., and U. Pyysalo, 2009. Radiometric calibration of LIDAR intensity with commercially available reference targets. IEEE Trans. Geosci. Remote Sensing, Vol. 47(2), 588-598.

Kaasalainen, S., Krooks, A., Kukko, A., and H. Kaartinen, 2009. Radiometric Calibration of Terrestrial Laser Scanners with External Reference Targets. Remote Sensing, Vol. 1(3), 144-158.

Kaasalainen, S., Vain, A., Krooks, A., and Kukko, A., 2009. Topographic and distance effects in laser scanner intensity correction. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Paris, France, Vol. XXXVIII, Part 3/W8, 219-223.

Krooks, A., 2009. GPS-tieto kuvaan ja arkistoon. Geotäggäämällä paikkatiedot kuvatiedoston kylkeen. Kamera, Vol. 8, 83.

Kukko, A., Jaakkola, A., Lehtomäki, M., and H. Kaartinen, 2009. Mobile mapping system and computing methods for modelling of road environment, 2009. Urban Remote Sensing Joint Event, 20.-22. May, Shanghai.

Kukko, A., 2009. Road Environment Mapper - 3D data capturing with mobile mapping. Lisensiaattityö, Teknillinen korkeakoulu, Espoo.

Lehtomäki, M., 2009. Dynaamisten prosessimallien parametrien viritysmenetelmä. Diplomityö, Sähkö- ja tietoliikennetekniikan osasto, Teknillinen korkeakoulu, Espoo.

Liang, X., Litkey, P., Hyyppä, J., Kaartinen, H., Vastaranta, M., and. M. Holopainen, 2009. Automatic stem location mapping using TLS for plot-wise forest inventory. SilviLaser 2009, Oct. 14-16, 2009, College Station, Texas, USA.

Matikainen, L., Hyyppä, J., and H. Kaartinen, 2009. Comparison between first pulse and last pulse laser scanner data in the automatic detection of buildings. Photogrammetric Engineering & Remote Sensing, Vol. 75(2), 133-146.

Matikainen, L., Hyyppä, J., Ahokas, E., Markelin, L., and H. Kaartinen, 2009. An improved approach for automatic detection of changes in buildings. Proceedings of the ISPRS Workshop Laserscanning 2009, Editors: F. Bretar, M. Pierrot-Deseilligny, G. Vosselman, Paris, France, 1-2 September 2009. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII (3 / W8), 61-67.

Matikainen, L., 2009. Rakennusten automaattinen tunnistus ja muutostulkinta laserkeilaus- ja ilmakuva-aineistoista. Maankäyttö, Vol. 3/2009, 7-10.

Melkas, T., Vastaranta. M., Haapanen, R., Holopainen, M., Yu, X., Hyyppä, J., and H. Hyyppä, 2009. Updating forest resource data by using ALS measurements and information collected with a harvester. In Popescu, S., Nelson, R., Zhao, K. & Neuemschwander, A. (Eds.). Silvilaser 2009 proceedings, 128-136.

Peltoniemi, J., Hakala, T., Suomalainen, J., and E. Puttonen, 2009. Polarised bidirectional reflectance factor measurements from snow, soil and gravel. J. Quant. Spectrosc. Radiat. Transfer, Vol. 110, 1940-1953.

Peltoniemi, J.I., T. Hakala and J. Suomalainen, 2009. Application of airborne imaging goniometer and on ground measurements for snow remote sensing research. Abstract Volume, Nordic Branch Meeting of the International Glaciological Society, Höfn in Hornafjörour, Iceland, October 29-31 2009, 65-67.

Puttonen, E., Suomalainen, J., Hakala, T., and J. Peltoniemi, 2009. Measurement of reflectance properties of asphalt surfaces and their usability as reference targets for aerial photos. IEEE Transactions on Geoscience and Remote Sensing, Vol. 47(7), 2330-2339.

Puttonen, E., Litkey, P., and J. Hyyppä, 2009. Usability of a sunlit-shaded area separation in individual tree species classification. Proceedings of the ISPRS Workshop Laserscanning 2009, Editors: F. Bretar, M. Pierrot-Deseilligny, G. Vosselman, Paris, France, 1-2 September 2009. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII (3 / W8), 311-316.

Roujean, J.-L., Manninen, T., Kontu, A., Peltoniemi, J., Hautecoeur, O., Riihelä, A., Lahtinen, P., Siljamo, N., Suokanerva, H., Sukuvaara, T., Kaasalainen, S., Aulamo, O., Aaltonen, V., Thölix, L., Karhu, J., Suomalainen, J., Hakala, T., and H. Kaartinen, 2009. SNORTEX (Snow Reflectance Transition Experiment): Remote sensing measurement of the dynamic properties of the boreal snow-forest in support to climate and weather forecast: report of IOP-2008. 2009 IEEE International Geoscience & Remote Sensing Symposium, July 12-17, Cape Town, South Africa (Paper 1167).

Rönnholm, P., Nuikka, M., Suominen, A., Salo, P., Hyyppä, H., Pöntinen, P., Haggren, H., Vermeer, M., Puttonen, J., Hirsi, H., Kukko, A., Kaartinen, H., Hyyppä, J. and A. Jaakkola, 2009. Comparison of measurement techniques and static theory applied to concrete beam deformation. The Photogrammetric Record, Vol. 24(128), 351-371.

Rönnholm, P., Hyyppä, H., Hyyppä, J. and H. Haggren, 2009. Orientation of Airborne Laser Scanning Point Clouds with Multi-View, Multi-Scale Image Blocks. Sensors, Vol. 9, 6008-6027. doi:10.3390/s90806008.

Suomalainen, J., Hakala, T., Puttonen, E., and J. Peltoniemi, 2009. Polarised bidirectional reflectance factor measurements from vegetated land surfaces. J. Quant. Spectrosc. Radiat. Transfer, Vol. 110, 1044-1056.

Suomalainen, J., Hakala, T., Peltoniemi, J.I., and E. Puttonen, 2009. Polarised multiangular reflectance measurements using Finnish Geodetic Institute Field goniospectrometer. Sensors, Vol. 9(5), 3891-3907, doi:10.3390/s90503891

Vain, A., Kaasalainen, S., Pyysalo, U., Krooks, A., and P. Litkey, 2009. Use of naturally available reference targets to calibrate airborne laser scanning intensity data. Sensors, Vol. 9(4), 2780-2796.

Vain, A., Kaasalainen, S., Hyyppä, J., Ahokas, E., 2009. Calibration of laser scanning intensity data using brightness targets, the method developed by the Finnish Geodetic Institute. Geodezija ir kartografija/Geodesy and cartography, Vol. 35(3), 77-81.

Vastaranta, M., Holopainen, M., Haapanen, R., Yu, X., Melkas, M., Hyyppä, J., and H. Hyyppä, 2009. Comparison between an area-based and individual tree detection method for low-pulse density ALS-based forest inventory. Proceedings of the ISPRS Workshop Laserscanning 2009, Editors: F. Bretar, M. Pierrot-Deseilligny, G. Vosselman, Paris, France, 1-2 September 2009. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII (3 / W8), 147-151.

Vastaranta, M., Holopainen, M., Kaartinen, H., Hyyppä, H., and J. Hyyppä, 2009. Uudistuneet metsien maastomittaustarpeet. Metsätieteen aikakauskirja, Vol. 4, 370-374.

Zhu, L., Jaakkola, A., Hyyppä, H., Hyyppä, J., and R. Chen, 2009. Vehicle-based laser scanning data quality improvement by integrating photogrammetric means. ISPRS, International Workshop on Multidimensional & Mobile Data Model, 21 - 22 October 2009, UTM Johor, Malaysia.

Zhu, L., Hyyppä, J., Kukko, A., Jaakkola, A., Lehtomäki, M., Kaartinen, H., Chen, R., Pei, L., Chen, Y., Hyyppä, H., Rönnholm, P., and H. Haggren, 2009. 3D city model for mobile phone using MMS data, 2009 Urban Remote Sensing Joint Event, 20.-22. May, Shanghai.

2008

Ahokas, E., 2008. On the quality of airborne laser scanning data. Licentiate's Thesis, Helsinki University of Technology, 72 p.

Ahokas, E., Kaartinen, H. and J. Hyyppä, 2008. On the quality checking of the airborne laser scanning-based nationwide elevation model in Finland. 21st ISPRS Congress Beijing 2008. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 37(B1/I), 267-270.

Al-Neshawy, F., Pöntinen, P., Erving, A., Salo, P., Heiska, N., Kukko, A., Kaartinen, H. and J. Puttonen, 2008. Detecting the Deterioration of Building Facades Using Terrestrial Laser Scanning Technique. Information and Communication Technology (ICT) for Bridges, Buildings and Construction Practice , Vol. 94, CD-ROM.

Champion, N., Matikainen, L., Rottensteiner, F., Liang, X., Hyyppä, J. 2008. A test of 2D building change detection methods: comparison, evaluation and perspectives. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII, Part B4, Beijing, 297-303.

Holopainen, M., Mäkinen, A., Rasinmäki, J., Hyyppä, J., Hyyppä, H., Kaartinen, H., Viitala, R., Vastaranta, M., Kangas, A., 2008. Effect of tree-level airborne laser-scanning measurement accuracy on the timing and expected value of harvest decisions. Linking Forest Inventory & Optimization, International conference, Freising, Germany, 1-4 April.

Honkavaara, E., Peltoniemi J., Ahokas E., Kuittinen R., Hyyppä, J., Jaakkola, J., Kaartinen, H., Markelin, L., Nurminen, K. and J. Suomalainen, 2008. A permanent test field for digital photogrammetric systems. Photogrammetric Engineering & Remote Sensing, Vol. 74(1), 95-106.

Honkavaara E., Markelin L., Ahokas E., Kuittinen R. and J. Peltoniemi, 2008. Calibrating digital photogrammetric airborne imaging systems in a test field. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 21st ISPRS Congress Beijing 2008, Vol. XXXVII, part B1, Commission I, ISSN 1682-1750. 21, 555-560.

Honkavaara, E., 2008. Calibrating digital photogrammetric airborne imaging systems using a test field. PhD Thesis, Helsinki University of Technology, 139 p.

Hyyppä, J., Hyyppä, H., Leckie, D., Gougeon, F., Yu, X. and M. Maltamo, 2008. Review of methods of small-footprint airborne laser scanning for extracting forest inventory data in boreal forests. International Journal of Remote Sensing, 29(5), 1339-1366.

Jaakkola, A., Kaasalainen, S., Hyyppä, J., Akujärvi, A. and H. Niittymäki, 2008. Radiometric calibration of intensity images of SwissRanger SR-3000 range camera. Photogrammetric Journal of Finland, Vol. 21, 16-25.

Jaakkola, A., Kaasalainen, S., Hyyppä, J., Niittymäki, H., A. Akujärvi, 2008. Intensity Calibration and Imaging with SwissRanger SR-3000 Range Camera. In: Förstner, W. & Mayer, H. Proceedings of the ISPRS Congress Beijing 2008. Beijing, China, 3.-11.7.2008. IAPRS, Vol. XXXVII, Part B3a, 155-159.

Jaakkola , A., Hyyppä , J., Hyyppä, H., and A. Kukko 2008. Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping. Sensors, Vol. 8, 5238-5249.

Jaakkola, A., 2008. Tieympäristön mallinnus mobiilin laserkeilaimen avulla. Diplomityö. Teknillinen korkeakoulu, Automaatio- ja systeemitekniikan laitos, Espoo, 49 s.

Kaartinen, H., 2008. Evaluation of Building Extraction Methods Based on Airborne Laser Scanning and Aerial Images. Helsinki University of Technology, Licentiate's Thesis, 118 p.

Kaartinen, H. and J. Hyyppä, 2008. EuroSDR/ISPRS Project Commission II, Tree Extraction, Final Report. EuroSDR. European Spatial Data Research, Official Publication No 53.

Kaasalainen, M., and S. Kaasalainen, 2008. Aperture size effects on backscatter intensity measurements in Earth and space remote sensing. J. Opt. Soc. Am. A., Vol. 25, 1142-1146.

Kaasalainen, S., Kukko, A., Lindroos, T., Litkey, P., Kaartinen, H., Hyyppä, J. and E. Ahokas, 2008. Brightness Measurements and Calibration with Airborne and Terrestrial Laser Scanners. IEEE Transactions on geoscience and remote sensing, Vol. 46(2), 528-534.

Kaasalainen, S., Kaartinen, H. and A. Kukko, 2008. Snow cover change detection with laser scanning range and brightness measurements. EARSeL eProceedings, Vol. 7(2), 133-141.

Karila, K., 2008. Use of advanced radar remote sensing techniques to detect subsidence in built environment in Finland. Licentiate's thesis, Helsinki University of Technology, 73 p.

Karjalainen, M., 2008. Agricultural Remote Sensing Using Synthetic Aperture Radar Images. Licentiate's Thesis,Helsinki University of Technology, 72 p.

Karjalainen, M., Pyysalo, U., Karila, K. and J. Hyyppä, 2008. Forest Biomass Estimation Using Alos Palsar Images in Challenging Natural Forest Area in Finland. The 2008 Joint PI Symposium of the ALOS Data Nodes, Rhodes, Greece, 3 to 7 November 2008.

Kukko, A., Kaasalainen, S. and P. Litkey, 2008. Effect of incidence angle on laser scanner intensity and surface data. Applied Optics, Vol. 47, 986-992.

Liang, X., Litkey, P., Hyyppä, J., Kukko, A., Kaartinen H. and M. Holopainen, 2008. Plot-level trunk detection and reconstruction using one-scan-mode terrestrial laser scanning data. 2008 International Workshop on Earth Observation and Remote Sensing. Applications, June. 30 - Jul. 2, 2008, Beijing, China.

Litkey, P., Liang, X., Hyyppä, J., Kukko, A., Kaartinen, H and M. Holopainen 2008. Single-scan TLS methods for forest parameter retrieval. SilviLaser 2008: 8th international conference on LiDAR applications in forest assessment and inventory, Heriot-Watt University, Edinburgh, UK, 17-19 September.

Lumme, J., Karjalainen, M., Kaartinen, H., Kukko, A., Hyyppä , J., Hyyppä, H., Jaakkola, A. and J. Kleemola, 2008. Terrestrial Laser Scanning of Agricultural Crops. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII, Part B5,563-566.

Markelin, L., Honkavaara, E., Peltoniemi, J., Ahokas, E., Kuittinen, R., Hyyppä, J., Suomalainen, J. and A. Kukko, 2008. Radiometric Calibration and Characterization of Large Format Digital Photogrammetric Sensors in a Test Field. Photogrammetric Engineering & Remote Sensing, Vol. 74(12), 1487-1500.

Nuikka, M., Rönnholm, P., Kaartinen, H., Kukko, A., Suominen, A., Salo, P., Pöntinen, P., Hyyppä, H., Hyyppä, J., Haggren, H., Absetz, I., Puttonen, J. and H. Hirsi, 2008. Comparison of three accurate 3D measurement methods for evaluating as-built floor flatness. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII, Part B5, 129-134.

Peltoniemi, J.I., Suomalainen, J., Puttonen, E., Näränen, J. and M. Rautiainen, 2008. Reflectance properties of selected arctic-boreal land cover types: field measurements and their application in remote sensing. Biogeosciences Discussions, Vol. 5(2), 1069-1095.

Poutanen, M., Ahokas, E., Chen, Y., Oksanen, J., Portin, M., Ruuhela, S., and H. Suurmäki (editors), 2008. Geodeettinen laitos - Geodetiska Institutet - Finnish Geodetic Institute 1918 - 2008. Suomen geodeettisen laitoksen julkaisu 141. Kirkkonummi 2008. https://hdl.handle.net/10138/351998

Rautiainen, M., Stenberg, P., Heiskanen, J., Mottus, M., Korhonen, L., Peltoniemi, J., Suomalainen, J., Kaasalainen, S. and T. Manninen, 2008. Metsän kaukokartoituksen perustutkimus? Metsätieteen Aikakauskirja 2, 117-126.

Rönnholm, P., Honkavaara, E., Erving, A., Nuikkaa, M., Haggren, H., Kaasalainen, S., Hyyppä, H. and J. Hyyppä, 2008. Registration of Airborne Laser Scanning Point Clouds with aerial Images through terrestrial Image Blocks. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII (B1), Beijing 2008.

Salo, P., Jokinen, O., Kukko, A., 2008. On the calibration of the distance measuring component of the terrestrial laser scanner FARO LS880 HE80. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII, Part B5, 1067-1072.

Suomalainen, J., Peltoniemi, J., Hakala, T. and E. Puttonen, 2008. Finnish Geodetic Institute, Field Goniospectrometer (FIGIFIGO): A Device for Polarized Multiangular Reflectance Measurements. IGARSS 2008, Boston, Massachusetts, U.S.A., 6-11 July.

Wagner, W., Hyyppä, J., Ullrich, A., Lehner, H., Briese, C., and S. Kaasalainen, 2008. Radiometric Calibration of Full-Waveform Small-Footprint Airborne Laser Scanners. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII (B1), Beijing 2008, 163-168.

Vastaranta, M., Melkas, T., Holopainen, M., Kaartinen, H., Hyyppä, J. and H. Hyyppä, 2008. Comparison of different laser-based methods to measure stem diameter. In Hill, R., Rossette, J. and Suarez, J. 2008. Silvilaser 2008 proceedings, 606-615.

Yu, X., Hyyppä, J., Kaartinen, H., Maltamo, M. and H. Hyyppä, 2008. Obtaining plot wise mean height and volume growth in boreal forests using multi-temporal laser surveys and various change detection techniques. International Journal of Remote Sensing, Vol. 29(5), 1367-1386.

Zhu, L., Erving, A., Koistinen, K., Nuikka, M., Junnilainen, H., Heiska, N. and H. Haggren, 2008. Georeferencing multi-temporal and multi-scale imagery in photogrammetry. 21st ISPRS Congress Beijing 2008. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol.37(B5/ 2), 225-230.

2007

Ayres, K., Hyyppä, J., Hyyppä, H., and M. Ahlavuo, 2007. Laser scanning researchers, developers and appliers beam down to Espoo. Espoo News, Convention & Marketing 1/2007, www.espoo.travel.fi.

Honkavaara, E. and L. Markelin, 2007. Radiometric Performance of Digital Image Data Collection - A Comparison of ADS40/DMC/UltraCam and EmergeDSS. Fritsch, D. (ed.). Photogrammetric Week 07, Wichmann Verlag.

Hyyppä, J. and H. Hyyppä, 2007. Kansallisen laserkeilauksen mahdollisuudet. Maankäyttö 1, 6-8.

Hyyppä, H. and M. Ahlavuo, 2007. Laser Scanning 2007 and SilviLaser 2007 Espoossa 12.-14.9.2007. Maankäyttö 4, 50-51.

Hyyppä, H., Ahlavuo, M., Haggren, H. and J. Hyyppä, 2007. Maanmittausalan popularisointi. ReflekTori 2007 Tekniikan opetuksen symposium 3.-4.12.2007 TKK Dipolissa. Espoo 2007, TKK, 187-188. 

Hyyppä, J., Matikainen, L., Kaartinen, H., Yu. X., Hyyppä, H. and P. Ronnholm, 2007. Improving Automation in Map Updating Based on National Laser Scanning, Classification Trees, Object-Based Change Detection and 3D Object Reconstruction, 2007 Urban Remote Sensing Conference, Paris, 11-13 April, Invited paper, 10 p.

Kaasalainen, S., Hyyppä, J., Litkey, P., Hyyppä, H., Ahokas, E., Kukko, A., and H. Kaartinen, 2007. Radiometric calibration of ALS intensity. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(3/W52).

Kaasalainen, S., Lindroos, T., and J. Hyyppä, 2007. Toward hyperspectral lidar. Measurement of spectral backscatter intensity with a supercontinuum laser source. IEEE Geoscience and Remote Sensing Letters, 4(2): 211-215.

Kaasalainen, S., and A. Kukko, 2007. Snow Reflectance Measurements using Terrestrial Laser scanner. European Geosciences Union, Geophysical Research Abstracts, Vol. 9.

Kaasalainen, S., and M. Rautiainen, 2007. Backscattering measurements from individual Scots pine needles. Applied Optics, 46(22): 4916-4922. (Artikkelista oli lyhyt uutiskirjoitus lehdessä: Optics & Laser Europe, October Issue, p.14, 2007.)

Karila, K., Karjalainen, M., and J. Hyyppä, 2007. Test Field for INSAR Urban Subsidence Studies. Proceedings of the ENVISAT symposium, ESA SP-636, 23-27 April 2007, Montreux, Switzerland.

Karila, K., 2006. (toim.) Katsaus fotogrammetrian ja kaukokartoituksen toimintaan Suomessa 2006. Fotogrammetrian ja kaukokartoituksen seura ry:n julkaisu.

Karjalainen, M., 2007. Geocoding of Synthetic Aperture Radar Images Using Digital Vector Maps. IEEE Geoscience and Remote Sensing Letters, 4(4): 616-620.

Kukko, A., Andrei, C.-O., Salminen, V.-M., Kaartinen, H., Chen, Y., Ronnholm, P., Hyyppä, H., Hyyppä, J., Chen, R., Haggren, H., Kosonen, I., and K. Capek, 2007. Road environment mapping system of the Finnish Geodetic Institute - FGI ROAMER. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(3/W52).

Kukko, A. and J. Hyyppä, 2007. Laser scanner simulator for system analysis and algorithm development: A case with forest measurements. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(3/W52).

Kukko, A., Kaasalainen, M. and S. Kaasalainen, 2007. Laboratory Ground Truth for Space Remote Sensing: Asteroid Light Curve and Shape Model Simulation. European Geosciences Union, Geophysical Research Abstracts, Vol. 9.

Liang, X., Hyyppä, J. and L. Matikainen, 2007. Deciduous-coniferous tree classification using difference between first and last pulse laser signatures. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(3/W52).

Litkey, P, Rönnholm, P., Lumme, J. and X. Liang, 2007. Waveform features for tree identification. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(3/W52).

Maltamo, M., Packalen, P., Peuhkurinen, J., Suvanto, A., Pesonen, A. and J. Hyyppä, 2007. Experiences and possibilities of ALS based forest inventory in Finland. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(3/W52).

Markelin, L., 2007. Digitaalisten ilmakuvien radiometrinen laatu ja sen mittaaminen. Diplomityö, Teknillinen korkeakoulu, Teknillisen fysiikan ja matematiikan osasto, 12.6.2007.

Matikainen, L., Kaartinen, H., and J. Hyyppä, 2007. Classification tree based building detection from laser scanner and aerial image data. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(3/W52): 280-287.

Peltoniemi, J.I., 2007. Spectropolarised ray-tracing simulations in densely packed particulate medium. Journal of Quantitative Spectroscopy and Radiative Transfer, 2(108): 180-196.

Peltoniemi, J., Piironen, J., Näränen, J., Suomalainen, J., Kuittinen, R., Honkavaara, E., and L. Markelin, 2007. Bidirectional reflectance spectrometry of gravel at the Sjökulla test field, ISPRS Journal of Photogrammetry and Remote Sensing, 62(6): 434-446.

Rautiainen, M., Suomalainen, J., Mottus, M., Stenberg, P., Voipio, P., Peltoniemi, J. and T. Manninen, 2007. Coupling forest canopy and understory reflectance in the Arctic latitudes of Finland. Remote Sensing of Environment, 110(3): 332-343.

Rönnholm, P., E. Honkavaara, P. Litkey, H. Hyyppä, J. Hyyppä, 2007.Integration of laser scanning and photogrammetry, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(3/W52): 355-362.

Sukuvaara, T., Pulliainen, J., Kyrö, E., Suokanerva, H., Heikkinen, P. and J. Suomalainen, 2007. Reflectance spectroradiometer measurement system in 30 meter mast for validating satellite images. Proceedings of IGARSS 2007, Barcelona (Spain), 23-27 July.

 

Villikka, M., Maltamo, M., Packalen, P., Vehman, M. and J. Hyyppä, 2007. Alternatives for predicting tree-stem volume of Norway Spruce using airborne laser scanning. Photogrammetric Journal of Finland, 20(2): 33-42.

Yu, X., 2007. Methods and techniques for forest change detection and growth estimation using airborne laser scanning data. Doctoral thesis, Helsinki University of Technology.

2006

Ahokas, E., Kasalainen, S., Hyyppä, J., and J. Suomalainen, 2006. Calibration of the Optech ALTM 3100 laser scanner intensity data using brightness targets. ISPRS Commission I Symposium, July 3-6, 2006, Marne-la-Vallee, France, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(A1), CD-ROM.

Honkavaara, E., Ahokas, E., Hyyppä, J., Jaakkola, J., Kaartinen, H., Kuittinen, R., Markelin, L., and K. Nurminen, 2006. Geometric test field calibration of digital photogrammetric sensors. ISPRS Journal of Photogrammetry and Remote Sensing, Special Issue on Digital Photogrammetric Cameras, 60(6): 387-399.

Honkavaara, E., Jaakkola, J., Markelin, L., and S. Becker, 2006. Evaluation of resolving power and MTF of DMC. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(A1), 6 p.

Honkavaara, E., Jaakkola, J., Markelin, L., Nurminen, K., and E. Ahokas, 2006. Theoretical and empirical evaluation of geometric performance of multi-head large format photogrammetric sensors. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(A1), 6 p.

Honkavaara, E., Jaakkola, J., Markelin, L., Peltoniemi, J., Ahokas, E., and S. Becker, 2006.Complete photogrammetric system calibration and evaluation in the Sjökulla test field case study with DMC. Proceedings of EuroSDR Commission I and ISPRS Working Group 1/3 Workshop EuroCOW 2006, CD-ROM, 6 p.

Hyyppä, H., Rönnholm, P., Hyyppä, J., Yu, X., and H. Kaartinen, 2006. Laser scanner derived digital terrain models for highway planning in forested areas. Nordic Journal of Surveying and Real Estate Research, 3(1): 69-82.

Hyyppä, H., Rönnholm, P., Soininen, A., and J. Hyyppä, 2005. Scope for laser scanning to provide road environment information. The Photogrammetric Journal of Finland, 19(2): 19-33.

Hyyppä, J., Yu, X., Hyyppä, H., and M. Maltamo, 2006. Methods of airborne laser scanning for forest information extraction. Workshop on 3D Remote Sensing in Forestry, February 14-15, 2006, Vienna, CD-ROM, 16 p.

Kaartinen, H,. and J. Hyyppä, 2006. EuroSDR-Project Commission 3 "Evaluation of Building Extraction", Final Report, In: EuroSDR - European Spatial Data Research, Official Publication No 50, pp. 9-77.

Kaasalainen, S., Kaasalainen, M., Mielonen, T., Suomalainen, J., Peltoniemi, J., and J. Näränen, 2006. Optical properties of snow in backscatter. Journal of Glaciology, 52(179): 574-584.

Karila, K., Raportti Vexcel Canadalle "ERS-ENVISAT time series analysis using Coherent Target Monitoring (CTM), 9 s.

Karila, K., (toim.) Katsaus fotogrammetrian ja kaukokartoituksen toimintaan Suomessa 2005, Fotogrammetrian ja Kaukokartoituksen Seura ry:n julkaisu, 10 s. Online: https://foto.hut.fi/seura/fsprs.html (23/01/07).

Karila, K., Karjalainen, M., and J. Hyyppä, 2005. Urban land subsidence studies in Finland using synthetic aperture radar images and coherent targets. The Photogrammetric Journal of Finland, 19(2): 43-53.

Karjalainen, M., Hyyppä, J., and R. Kuittinen, 2006. Determination of exterior orientation using linear features from vector maps. The Photogrammetric Record, 21(116): 329-341.

Karjalainen, M., Karila, K., and J. Hyyppä, 2006. Final report of the European Space Agency Category-1 project "Detecting Land Subsidence and Uplift in Boreal Forest Zone in Finland", 13 p.

Maltamo, M., Hyyppä, J., and J. Malinen, 2006. A comparative study of the use of laser scanner data and field measurements in the prediction of crown height in boreal forests. Scandinavian Journal of Forest Research, 21(3): 231-238.

Maltamo, M., Eerikäinen, K., Packalén, P., and J. Hyyppä, 2006.Estimation of stem volume using laser scanning-based canopy height metrics. Forestry 79(2): 217-229.

Maltamo, M., Hyyppä, J., Eerikäinen, E., Packalén, P., Vehmas, M. and J. Kouki, 2006. Metsikön vertikaalisen rakenteen tutkiminen 3D-kaukokartoituksen avulla. In: Horne, P., Koskela, T., Kuusinen, M., Otsamo, A. and Syrjänen, K.(eds.) METSON jäljillä - Etelä-Suomen metsien monimuotoisuusohjelman tutkimusraportti. Maa- ja metsätalousministeriö, ympäristöministeriö, Metsäntutkimuslaitos ja Suomen ympäristökeskus, pp. 247-249.

Markelin, L., Honkavaara, E., Peltoniemi, J., Suomalainen, S., and E. Ahokas, 2006. Radiometric evaluation of digital aerial cameras. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(B1), 6 p.

Matikainen, L., 2006. Improving automation in rule-based interpretation of remotely sensed data by using classification trees The Photogrammetric Journal of Finland, 20(1): 5-20.

Matikainen, L., Hyyppä, J., and M. E. Engdahl, 2006. Mapping built-up areas from multitemporal interferometric SAR images - a segment-based approach. Photogrammetric Engineering & Remote Sensing, 72(6): 701-714.

Rönnholm, P., Pöntinen, P., Nuikka, M., Suominen, A., Hyyppä, H., Kaartinen, H., Absetz, I., Hirsi, H., and J. Hyyppä, 2006. Experiments on Deformation Measurements of "Helsinki Design Week 2005" Info Pavilion. ISPRS Commission V Symposium: Image Engineering and Vision Metrology, Dresden, Germany, September 25-27, 2006, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVI (Part 5): 6 p.

Suomalainen, J., 2006. Multiangular spectrometry and optical properties of debris covered surfaces, Master's thesis, Physics, University of Helsinki.

Suomalainen, J., and J. I. Peltoniemi, 2006. Light Scattering Properties of Debris Covered Surfaces: Separating Components of Multi-Angular Reflectance. Proceedings of the XXXX Annual Conference of the Finnish Physical Society, March 2006, Tampere, Finland.

Suomalainen, J., and J. I. Peltoniemi, 2006. Field Goniospectrometer (FiGIFiGo) and Some New Results Measured with it. International Workshop on Multi-angular Measurements and Models IV, March 2006, Sydney, Australia, (posteri), CD-ROM.

Yu, X., Hyyppä, J., Kaartinen, H., Maltamo, M., H. and Hyyppä, 2006. Obtaining plotwise height and volume growth in boreal forests using multitemporal laser surveys: a comparison of various techniques. Proceedings of the International Conference Silvilaser 2006, Nov. 7-10, 2006 - Matsuyama, Japan, pp. 243-248.

Yu, X., Hyyppä, J., Kukko, A., Maltamo, M., and Kaartinen, H., 2006. Change detection techniques for canopy height growth measurements using airborne laser scanner data. Photogrammetry Engineering and Remote Sensing, SilviScan Special Issue - Lidar Applications in Forest Assessment and Inventory, 72(12): 1339-1348.

2005

Ahokas, E., Yu, X., Kaartinen, H., Hyyppä, J., Kaasalainen, S., Matikainen, L., Honkavaara, E., Hyyppä, H., Rönnholm, P. and A. Soininen, 2005. Quality of laser scanning. EARSeL Workshop "3-D Remote Sensing", 10. - 11.6.2005, Porto, Portugal. CD-ROM.

Ahokas, E., Yu, X., Oksanen, J., Hyyppä, J., Kaartinen, H. and H. Hyyppä, 2005. Optimization of the Scanning Angle for Countrywide Laser Scanning. Proceedings of ISPRS Workshop "Laser scanning 2005", September 12-14, 2005, Enschede, The Netherlands, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI(Part 3/W19) :115-119, CD-ROM.

FKS Suositus, Ohjeita ortokuvien tuotannolle ja käytölle Suomessa, (toim. Eija Honkavaara et al.). Fotogrammetrian ja kaukokartoituksen seura, julkaisu 1/2005, 63 s.

Honkavaara, E., Markelin, L., Ilves, R., Savolainen, P., Vilhomaa, J., Ahokas, E., Jaakkola, J. and H. Kaartinen, 2005. In-flight performance evaluation of digital photogrammetric sensors. Proceedings of ISPRS Hannover Workshop "High-Resolution Earth Imaging for Geospatial Information", May 17-20, 2005, CD-ROM, 6 p.

Hyyppä, H. ja J. Hyyppä, 2005. Laserkeilaus ja kansallisia suosituksia, erillisraportti, 17 s.

Hyyppä, H., Yu, X., Hyyppä, J., Kaartinen, H., Honkavaara, E. and P. Rönnholm, 2005. Factors affecting the quality of DTM generation in forested areas. Proceedings of ISPRS Workshop "Laser scanning 2005", September 12-14, 2005, Enschede, The Netherlands, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI(Part 3/W19): 85-90, CD-ROM.

Hyyppä, J., Mielonen, T., Hyyppä, H., Maltamo, M., Honkavaara, E., Yu, X. and H. Kaartinen, 2005. Using individual tree crown approach for forest volume extraction with aerial images and laser point clouds. Proceedings of ISPRS Workshop "Laser scanning 2005", September 12-14, 2005, Enschede, The Netherlands, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI(Part 3/W19):144-149, CD-ROM.

Kaartinen, H., Hyyppä, J., Gülch, E., Vosselman, G., Hyyppä, H., Matikainen, L., Hofmann, A.D., Mäder, U., Persson, Å., Söderman, U., Elmqvist, M., Ruiz, A., Dragoja, M., Flamanc, D., Maillet, G., Kersten, T., Carl, J., Hau, R., Wild, E., Frederiksen, L., Holmgaard, J. and K. Vester, 2005. Accuracy of 3D city models: EuroSDR comparison. Proceedings of ISPRS Workshop "Laser scanning 2005", September 12-14, 2005, Enschede, The Netherlands, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI(Part 3/W19):227-232, CD-ROM.

Kaartinen, H., Hyyppä, J., Gülch, E., Hyyppä, H., Matikainen, L., Vosselman, G., Hofmann, A.D., Mäder, U., Persson, Å., Söderman, U., Elmqvist, M., Ruiz, A., Dragoja, M., Flamanc, D., Maillet, G., Kersten, T., Carl, J., Hau, R., Wild, E., Frederiksen, L., Holmgaard, J. and K. Vester, 2005. EuroSDR Building Extraction Comparison. ISPRS Hannover Workshop "High-Resolution Earth Imaging for Geospatial Information", May 17-20, 2005, CD-ROM, 6 p.

Kaasalainen, S., Hyyppä, J. and T. Mielonen, 2005. Laboratory calibration of backscattered intensity for laser scanning land targets. Proceedings of ISPRS Workshop "Laser scanning 2005", September 12-14, 2005, Enschede, The Netherlands, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI(Part 3/W19):13-17, CD-ROM.

Kaasalainen, S., Ahokas, E., Hyyppä, J. and J. Suomalainen, 2005. Study of surface brightness from backscattered laser intensity: calibration of laser data. IEEE Geoscience and Remote Sensing Letters 2 (3):255-259.

Kaasalainen, S., Kaasalainen, M. and J. Piironen, 2005.Ground reference for space remote sensing: Laboratory photometry of an asteroid model. Astronomy & Astrophysics, 440(2005):1177-1182

Kaasalainen, S., Peltoniemi, J. ja J. Suomalainen, 2005. Heijastusmittaukset lumen kaukokartoituksessa. XXII Geofysiikan päivät. Geofysiikan seura, Helsinki 2005, ss. 63-66.

Kaasalainen, S., Peltoniemi, J., Näränen, J., Suomalainen, J., Kaasalainen, M. and F. Stenman, 2005. Small-angle goniometry for backscattering measurements in the broadband spectrum. Applied Optics, 44(8):1485-1490.

Kaasalainen, S. and M. Rautiainen, 2005. Hot spot reflectance signatures of common boreal lichens. Journal of Geophysical Research D, 110(2005), D20102, 12 p.

Karila, K., 2005. SAR-interferometria kaupunkialueiden painumien tutkimuksessa. Julkaisussa (toim. Paula Ahonen-Raunio ja Ulla Huhtinen), Epävarma maailma : Maanmittaustieteiden päivät 17.-18.11.2005, Maanmittaustieteiden Seuran julkaisu nro 42, ss. 75-81.

Kukko, A., Hyyppä, J. and R. Kuittinen, 2005. Use of HRSC-A for sampling bidirectional reflectance. ISPRS Journal of Photogrammetry and Remote Sensing, 59(6):323-341.

Maltamo, M., Eerikäinen, K., Pitkänen, J. and J. Hyyppä, 2005. Identifying and quantifying structural characteristics of heterogeneous boreal forests using laser scanner data. Forest Ecology and Management, 216(2005):41-50.

Markelin, L., Ahokas, E., Honkavaara, E., Kukko, A. and J. Peltoniemi, 2005. Radiometric quality comparison of UltraCamD and analog camera. Proceedings of ISPRS Hannover Workshop 2005 "High-Resolution Earth Imaging for Geospatial Information", CD-ROM, 6 p.

Matikainen, L. 2005. Region-based and knowledge-based approaches in analysing remotely sensed and ancillary spatial data. Thesis for the degree of Licenciate of Science in Technology, Department of Surveying at Helsinki University of Technology, Espoo, 229 p.

Peltoniemi, J., Kaasalainen, S., Näränen, J., Matikainen, L. and J. Piironen, 2005. Measurement of directional and spectral signatures of light reflectance by snow. IEEE Transactions on Geoscience and Remote Sensing, 43(10):2294-2304.

Peltoniemi, J. I., Kaasalainen, S., Näränen, J., Rautiainen, M., Stenberg, P., Smolander, H., Smolander, S. and P. Voipio, 2005. BRDF measurement of understory vegetation in pine forests: dwarf shrubs, lichen and moss. Remote Sensing of Environment, 94(2005):343-354.

Saarentaus, M., Vuorela, A., Hyyppä, J. ja K. Karila, 2005. Apua - maanpinta vajoaa! Maankäyttö, 4(2005):24-26.

Suomalainen, J. and J. I. Peltoniemi, 2005. New portable spectrogoniometer and measurement of reflectance properties of small targets. Proceedings of the XXXIX Annual Conference of the Finnish Physical Society, 152, March 2005, Espoo, Finland, p. 152.

Yu, X., Hyyppä, J., Kaartinen, H., Hyyppä, H., Maltamo, M. and P. Rönnholm, 2005. Measuring the growth of individual trees using multi-temporal airborne laser scanning point clouds. Proceedings of ISPRS Workshop "Laser scanning 2005", September 12-14, 2005, Enschede, The Netherlands, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI(Part 3/W19):204-208, CD-ROM.

Yu, X., Hyyppä, H., Kaartinen, H., Hyyppä, J., Ahokas, E. and S. Kaasalainen, 2005. Applicability of first pulse derived digital terrain models for boreal forest studies. Proceedings of ISPRS Workshop "Laser scanning 2005", September 12-14, 2005, Enschede, The Netherlands, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI(Part 3/W19):97-102, CD-ROM.

2004

Ahokas, E., Kaartinen, H. and J. Hyyppä, 2004. A quality assessment of repeated airborne laser scanner observations. Proceedings of the XXth ISPRS Congress, July 2004, Istanbul, Turkey, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXV(B3/III):237-242.

Haggrén, H., Hyyppä, H., Jokinen, O., Kukko, A., Nuikka, M., Pitkänen, T., Pöntinen, P. and P. Rönnholm, 2004. Photogrammetric application of spherical imaging. ISPRS "Panoramic Photogrammetry Workshop", 19.-22. February, Dresden, Germany, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXIV(5/W16): 10 p.

Honkavaara, E., 2004. In-flight camera calibration for cirect georeferencing. Proceedings of the XXth ISPRS Congress, July 2004, Istanbul, Turkey, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXV(B1):166-171.

Honkavaara, E., 2004. Calibration in direct georeferencing: theoretical considerations and practical results. Invited article in Direct Georeferencing Column. Photogrammetric Engineering & Remote Sensing, 70(11):1207-1208.

Honkavaara, E., 2004. Maa- ja metsätalousministeriön peltolohkorekisterin ortoilmakuvatuotannon laatujärjestelmä. Versio 4.6.2004, 30 s.

Honkavaara, E. & FKS työryhmä, Ortokuvasuositus, versiot 1-3, 20 s. + 14 s. liitt.

Honkavaara, E., Markelin, L., Jaakkola, J., Ahokas, E., Hyyppä, J. ja H. Kaartinen, 2004. Digitaalisten ilmakuvien laatumittarit - Quality indicators for digital aerial imagery. Maa- ja metsätalousministeriön rahoittaman yhteistutkimushankkeen loppuraportti 26.3.2004, 16 s.

Honkavaara, E., Markelin, L., Marttinen, J. and M. Vilander, 2004. External quality control of medium-scale orthophoto production - case Finnish Land Parcel Identification System, Nordic Journal of Surveying and Real Estate Research, 1(2):131-143. Abstract

Hyyppä, J., Honkavaara, E., Kaartinen, H., Ahokas, E. ja H. Hyyppä, 2004. Tunnetko kaukokartoituksen testikentät? Positio, 1(2004):18-20.

Hyyppä, J. ja H. Hyyppä, 2004. Kaukokartoitusaineistot metsien arvioinnissa - aineistovertailuja. Geomatiikan kerho Poligoni ry:n teemapäivä: Metsän kaukokartoitus, Teknillinen korkeakoulu, Espoo, 27.10.2004, s. 6-18.

Hyyppä, J., Hyyppä, H., Litkey, P., Yu, X., Haggrén, H., Rönnholm, P., Pyysalo, U., Pitkänen, J. and M. Maltamo, 2004. Algorithms and methods of airborne laser scanning for forest measurements. International Conference NATSCAN 'Laser-Scanners for Forest and Landscape Assessment - Instruments, Processing Methods and Applications', 3-6, Oct. 2004, Freiburg, Germany (keynote presentation), International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI(8/W2):82-89.

Kaasalainen, M., Pravec, P., Krugly, Y.N., Sarounova, L., Torppa, J., Virtanen, J., Kaasalainen, S., Erikson, A., Nathues, A., Durech, J., Wolf, M., Lagerros, J.S.V., Lindgren M., Lagerkvist, C.-I., Koff, R., Davies, J., Mann, R., Kuvsnirak, P., Gaftonyuk, N.M., Shevchenko, V.G., Chiorny, V.G. and I.N. Belskaya, 2004. Photometry and models of eight near-Earth asteroids. Icarus, 167:178-196.

Kaasalainen, S., Peltoniemi, J. and J. Näränen, 2004. Snow BRDF from backscattering to wide angular range. Geophysical Research Abstracts, 6(2004), European Geosciences Union.

Kaasalainen, S., Peltoniemi, J. and J. Näränen, 2004. Multiangular studies on light scattering from snow. EOS Trans. AGU, 85(17), Joint Assembly Suppl., Abstract U21A-02 (2004).

Karila, Kirsi, 2004. Tutkakuvien käyttö maanpinnan liikkeiden havaitsemiseen. Teknillisen korkeakoulun maanmittausosastolla tehty diplomityö. 83 s., kuvaliitt.

Karila, K., Hyyppä, J. and M. Karjalainen, 2004. Differential INSAR studies in the boreal forest zone in Finland. ESA Fringe03 Workshop on Advances in SAR interferometry from ERS and ENVISAT missions, Frascati, Italy, December 3, 2003. An electronic version is available at https://earth.esa.int/fringe03

Karila, K., Karjalainen, M. and J. Hyyppä, 2004. Detection of urban land subsidence in the city of Turku in Finland using differential SAR interferometry. Envisat Symposium 2004, Salzburg, Austria, September 6-10, 2004.

Karjalainen, M., 2004. SAR-polarimetrian perusteet ja käyttö kartoituksessa, julkaisematon raportti, [21] s.

Karjalainen, M., Kaartinen, H., Hyyppä, J. and R. Kuittinen, 2004. Agricultural monitoring in Finland using Envisat alternating polarization SAR images. Envisat Symposium 2004, Salzburg, Austria, September 6-10, 2004.

Karjalainen, M., Kaartinen, H., Hyyppä, J., Laurila, H. and R. Kuittinen, 2004. The use of Envisat alternating polarization SAR images in agricultural monitoring compared with Radarsat-1 SAR images. Proceedings of the XXth ISPRS Congress, July 2004, Istanbul, Turkey, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXV(B7/7):132-137.

Kukko, A., 2004. Sampling of bidirectional reflectance from multiangular high resolution airborne imagery. Proceedings of the XXth International ISPRS Congress, July 2004, Istanbul, Turkey, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXV(B1):210-215.

Kukko, A., 2004. A new method for perspective centre alignment for spherical panoramic imaging. Photogrammetric Journal of Finland, 19(1):37-46.

Maltamo, M., Mustonen, K., Hyyppä, J., Pitkänen, J. and X. Yu, 2004. The accuracy of estimating individual tree variables with airborne laser scanning in boreal nature reserve. Canadian Journal of Forest Research, 34(9):1791-1801.

Maltamo, M., Eerikäinen, K., Pitkänen, J., Hyyppä, J. and M. Vehmas, 2004. Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions. Remote Sensing of Environment, 90(3):319-330.

Maltamo, M., Packalén, P., Yu, X., Eerikäinen, K., Hyyppä, J. and J. Pitkänen, 2004. Identifying and quantifying heterogeneous boreal forest structures using laser scanner data. International Conference NATSCAN 'Laser-Scanners for Forest and Landscape Assessment - Instruments, Processing Methods and Applications', 3-6, Oct. 2004, Freiburg, Germany, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI(8/W2):153-156.

Markelin, L. and E. Honkavaara, 2004. Procedures for radiometric quality control of scanned CIR images. Proceedings of the XXth International ISPRS Congress, July 2004, Istanbul, Turkey, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXV(B1):249-254.

Matikainen, L., Hyyppä, J., Kaartinen, H. 2004. Automatic detection of changes from laser scanner and aerial image data for updating building maps. Proceedings of the XXth International ISPRS Congress, July 2004, Istanbul, Turkey, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXV(B2):434-439.

Matikainen, L., Karjalainen, M., Kaartinen, H., Hyyppä, J. 2004. Rule-based interpretation of high-resolution SAR images for map updating. The Photogrammetric Journal of Finland, 19(1):47-62.

N�sset, E., Gobakken, T., Holmgren, J., Hyyppä, H., Hyyppä, J., Maltamo, M., Nilsson, M., Olsson, H., Persson, Å. and U. Söderman, 2004. Laser scanning of forest resources: the Nordic experience. Scandinavian Journal of Forest Research 19(6):482-499.

Näränen, J., Kaasalainen, S., Peltoniemi, J., Heikkilä, S., Granvik, M. and V. Saarinen, 2004. Laboratory photometry of planetary regolith analogs. II. Surface roughness and extremes of packing density. Astronomy and Astrophysics, 426:1103-1109.

Peltoniemi, J., Kaasalainen, S., and J. Näränen, 2004. Mobile field goniospectrometry. EOS Trans. AGU, 85(17), Joint Assembly Suppl., Abstract GC51A-11 (2004).

Poutanen, M., Chen, R., Hyyppä, J., Kuittinen, R. ja T. Sarjakoski, 2004. Geodeettinen laitos - perinteitä ja nykyaikaa, (Engl., The Finnish Geodetic Institute - traditions and future), Maankäyttö, (Finnish journal in surveying), (1/2004): 15-21.

Rönnholm, P., Hyyppä, J., Hyyppä, H., Haggrén, H., Yu, X. and H. Kaartinen, 2004. Calibration of laser-derived tree height estimates by means of photogrammetric techniques. Scandinavian Journal of Forest Research 19(6):524-528.

Valta-Hulkkonen, K., Pellikka, P. and J. Peltoniemi, 2004. Assessment of bidirectional effects over aquatic macrophyte vegetation in CIR aerial photographs. Photogrammetric Engineering & Remote Sensing, 70(5):581-588.

Widen, N., 2004. Assessing the accuracy of land surface characteristics estimated from multi-angular remotely sensed data. International Journal of Remote Sensing 25(6):1105-1117.

Yu, X., Hyyppä, J., Kaartinen, H. and M. Maltamo, 2004. Automatic detection of harvested trees and determination of forest growth using airborne laser scanning. Remote Sensing of Environment 90:451-462.

Yu, X., Hyyppä, J., Hyyppä, H. and M. Maltamo, 2004. Effects of flight altitude on tree height estimation using airborne laser scanning. International Conference NATSCAN 'Laser-Scanners for Forest and Landscape Assessment - Instruments, Processing Methods and Applications', 3-6, Oct. 2004, Freiburg, Germany, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI(8/W2):96-101.

2003

Ahokas, E., Kaartinen, H. and J. Hyyppä, 2003. A quality assessment of airborne laser scanner data. ISPRS WG III/3 Workshop '3-D laserscanner and InSAR data', Dresden, Germany 8-10 October 2003. The International Archives of Photogrammetry, Remote Sensing and Spatial Information reconstruction from airborne Sciences, Vol. XXXIV, part 3/WG13, pp. An electronic version is available at https://www.isprs.org/commission3/wg3/workshop_laserscanning/.

Ahokas, E., Kaartinen, H., Yu, X.W., Hyyppä, J. and H. Hyyppä, 2003. Analysing the effects related to the accuracy of laser scanning for digital elevation and target models. In: Geoinformation for European-wide Integration (ed. T. Benes). Proceedings of the 22nd Symposium of the European association of remote sensing laboratories, Prague, Czech Republic, 4-6 June 2002, Millpress, Rotterdam 2003, pp.13-18.

Engdahl, M.E. and J.M. Hyyppä, 2003. Land-cover classification using multitemporal ERS-1/2 InSAR data. IEEE Transactions on Geoscience and Remote Sensing, Vol. 41 (7):1620-1628.

Holopainen, M. and J. Hyyppä, 2003. Possibilities with laser scanning in practical forestry. Proceedings of the Scandlaser Scientific Workshop on Airborne Laser Scanning of Forests, September 3-4, 2003, Umeå, Sweden, final ed. Swedish University of Agricultural Sciences, pp. 265-274.

Honkavaara, E., 2003. Calibration block structures for GPS/IMU/camera-system calibration. Photogrammetric Journal of Finland, Vol. 18(2):3-15.

Honkavaara, E., 2003. Digitaalisten kuvien laatu. Teoksessa: Pikseleitä ja pistepilviä - kuvauksen uudet ulottuvuudet (toim. Jokela, J.). Maanmittaustieteiden päivät 20.-21.11.2003, Teknillinen korkeakoulu, Espoo. Maanmittaustieteiden Seuran julkaisu n:o 40, s. 48-56.

Honkavaara, E., Ilves, R. and J. Jaakkola, 2003. Practical results of GPS/IMU/Camera-system calibration. Proceedings of International Workshop: Theory, Technology and Realities of Inertial/GPS Sensor Orientation, Castelldefels, Spain, 22.-23.9.2003, CD-ROM, 10 p.

Hyyppä, H. ja J. Hyyppä, 2003.Laserkeilauksen laatu ja sen osatekijät. Teoksessa: Pikseleitä ja pistepilviä - kuvauksen uudet ulottuvuudet (toim. Jokela, J.). Maanmittaustieteiden päivät 20.-21.11.2003, Teknillinen korkeakoulu, Espoo. Maanmittaustieteiden Seuran julkaisu n:o 40, s. 63-71.

Hyyppä, J., Hyyppä, H., Maltamo, M., Yu, X., Ahokas, E. and U. Pyysalo, 2003. Laser scanning of forest resources - some of the Finnish experience. Proceedings of the Scandlaser Scientific Workshop on Airborne Laser Scanning of Forests, September 3-4, 2003, Umeå, Sweden, final ed. Swedish University of Agricultural Sciences, pp. 53-59.

Hyyppä, J., Naesset, E., Olsson, H., Granqvist Pahlén, T. and H. Reese (eds), 2003. Proceedings of the ScandLaser Scientific Workshop on Airborne Laser Scanning of Forests, 3-4 September, 2003, Umeå, Sweden, final ed. Swedish University of Agricultural Sciences. ISSN 1401-1204.

Hyyppä, J., Yu, X., Rönnholm, P., Kaartinen, H. and H. Hyyppä, 2003. Factors affecting object-oriented forest growth estimates obtained using laser scanning. The Photogrammetric Journal of Finland, Vol. 18(2):16-31.

Kaasalainen, S., 2003. Laboratory photometry of planetary regolith analogs I. Effects of grain and packing properties on opposition effect. Astron. Astrophys. 409 (2003):765-769.

Karjalainen, M., Hyyppä, J. and Y. Devillairs, 2003. Urban change detection in the Helsinki metropolitan region using Radarsat-1 fine beam SAR images. 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas 2003, pp. 273-277.

Karjalainen, M., Kaartinen, H., Hyyppä, J. ja R. Kuittinen, 2003. Maatalouden monitorointi satelliitti-SAR-kuvien avulla, projektin Precision measurements in forestry and agriculture utilizing advanced remote sensing techniques raportti 20. helmikuuta 2003, Geodeettinen laitos, sisäinen raportti, 29 p.

Maltamo, M., Eerikäinen, K., Pitkänen, J., Hyyppä, J. and M. Vehmas, 2003. Combination of single tree laser scanning and theoretical distribution functions in the estimation of plot volume and number of stems. Proceedings of the Scandlaser Scientific Workshop on Airborne Laser Scanning of Forests, September 3-4, 2003, Umeå, Sweden, final ed. Swedish University of Agricultural Sciences, pp. 198-211.

Matikainen, L., Hyyppä, J. and H. Hyyppä, 2003. Automatic detection of buildings from laser scanner data for map updating. Workshop '3-D reconstruction from airborne laserscanner and InSAR data', Dresden, Germany 8-10 October 2003. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXIV, part 3/WG13, pp. 218-224.

Matikainen, L. ja J. Hyyppä, 2003. SAR-kuvat kartoituksessa ja karttojen ajantasaistuksessa. Teoksessa: Pikseleitä ja pistepilviä - kuvauksen uudet ulottuvuudet (toim. Jokela, J.). Maanmittaustieteiden päivät 20.-21.11.2003, Teknillinen korkeakoulu, Espoo. Maanmittaustieteiden Seuran julkaisu n:o 40, s. 13-18

Rönnholm, P., Hyyppä, H., Pöntinen, P., Haggrén, H. and J. Hyyppä, 2003. A method for interactive orientation of digital images using backprojection of 3D data. The Photogrammetric Journal of Finland, 18(2):58-69.

Yu, X.W., Hyyppä, J., Rönnholm, P., Kaartinen, H., Maltamo, M. and H. Hyyppä, 2003. Detection of harvested trees and estimation of forest growth using laser scanning. Proceedings of the Scandlaser Scientific Workshop on Airborne Laser Scanning of Forests, September 3-4, 2003, Umeå, Sweden, final ed. Swedish University of Agricultural Sciences, pp. 115-124.

2002

Ahokas, E., Kaartinen, H., Matikainen, L., Hyyppä, J. and H. Hyyppä, 2002. Accuracy of high-pulse-rate laser scanners for digital target models. In: Observing our environment from space. New solutions for a new millennium. Proceedings of the 21st EARSeL Symposium, Paris, 14-16 May, 2001. Balkema Publishers 2002, pp. 175-178.

Honkavaara, E., Ahokas, E., Jaakkola, J., Hyyppä, J., Ilves, R. and J. Vilhomaa, 2002. Investigations on system calibration of GPS/IMU and camera for direct georeferencing. Proceedings of the ISPRS Commission III symposium, Photogrammetric Computer Vision, September 9-13, 2002, Graz, Austria. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXIV(Part 3B): 85-89. ISSN 1682-1750.

Kaasalainen, S., Piironen, J., Muinonen, K., Karttunen, H. and J. Peltoniemi, 2002. Laboratory experiments on the backscattering from regolith samples. Applied Optics, 41:4416-4420, July 2002.

Kaasalainen, S., Piironen, J., Muinonen, K., Karttunen, H., Peltoniemi, J. and J. Näränen, 2002. Coherent backscattering from regolith-type samples. In Sixth Conference on Light Scattering by Nonspherical particles, Gainesville, 2002, pp. 143-146.

Karjalainen, M., Kaartinen, H., Hyyppä, J. and R. Kuittinen, 2002. Monitoring agricultural areas using high resolution satellite radar images. Nordic Association of Agricultural Scientists (NJF), Proceedings of the Seminar no. 336, Skara, Sweden, 6 p.

Kukko, A., 2002. Kaksisuuntaisheijastuvuuden näytteistäminen monikulmakameran kuvilta. Diplomityö, TKK, Maanmittauslaitos, 129 s.

Matikainen, L., Karjalainen, M. and J. Hyyppä, 2002. Use of space-borne SAR for map generation and updating. Finnish Geodetic Institute, Final report, 18 February 2002,
48 p.

Matikainen, L., Kuittinen, R. and J. Vepsäläinen, 2002. Estimating drainage area-based snow-cover percentages from NOAA AVHRR image. International Journal of Remote Sensing, Vol. 23, No. 15, pp. 2971-2988.

Matikainen, L., Hyyppä, J. and M. Engdahl, 2002. Extracting built-up areas from multitemporal interferometric SAR images. Proceedings of the ISPRS Commission III symposium, Photogrammetric Computer Vision, September 9-13, 2002, Graz, Austria. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXIV, Part 3B, pp. 170-175. ISSN 1682-1750.

Matikainen, L., Kuittinen, R., Yu, X. and M. Karjalainen, 2002. Region-based and knowledge-based approaches in analysing remotely sensed and ancillary spatial data - experiences from case studies. The Photogrammetric Journal of Finland, Vol. 18 No. 1, pp. 44-57.

Schardt, M., Ziegler, M., Wimmer, A., Wack, R. and J. Hyyppä, 2002. Assessment of forest parameters by means of laser scanning. Proceedings of the ISPRS Commission III symposium, Photogrammetric Computer Vision, September 9-13, 2002, Graz, Austria. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXIV, Part 3A, pp. 302-309. ISSN 1682-1750.

Sucksdorff, Y., Metsämäki, S., Koskinen, J., Vepsäläinen, J., Pulliainen, J., Koskinen, J., Takala, M., Peltoniemi, J. and L. Matikainen. 2002. ENVISAT in remote sensing of snow in Finland. Final Report to the Steering Committee of the Project "Assessment of the usability of ENVISAT MERIS, AATSR, ASAR data in monitoring of snow in Finland (ENVISAT-Vesi)". TEKES 40350/99, Diaarinro 1298/401/98. Finnish Environment Institute, Helsinki University of Technology / Laboratory of Space Technology, Finnish Geodetic Institute, June 2002.

Widen, N. and R. Kuittinen, 2002. A numerical analysis of the accuracy of laboratory and field goniometer measurements. Proceedings of the 21st EARSeL symposium, Paris 14-16 May 2001, 5 p.

2001

Ahokas, E., 2001. Airborne Laser Scanning - a Height Accuracy Assessment. Finnish Journal of Surveying Sciences. 19(1-2):9-16.

Bilker, M., and H. Kaartinen, 2001. The Quality of Real-Time Kinematic (RTK) GPS Positioning. Reports of The Finnish Geodetic Institute, 2001:1, Kirkkonummi. http://hdl.handle.net/10138/353255

Engdahl, M., Hyyppä, J., 2001. Multitemporal insar in land-cover classification. 3rd International Symposium on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Applications, 11-14 September 2001, Sheffield, UK, 6 p.

Engdahl, M., Hyyppä, J., 2001. Unsupervised land-cover classification using multitemporal ERS-1/2 Tandem insar data. The SPIE Remote Sensing symposium, 17-21 September, 2001, Toulouse, France, 8 p.

Helminen, V., Kaartinen, H., Jaakkola, O. ja T. Sarjakoski, 2001. Maastotietokannan geometrisen laadun tarkastus, syksy 2000. Geodeettinen laitos, julkaisematon
raportti, 40 s.

Hyyppä, H., and J. Hyyppä, 2000. Quality of 3-dimensional infrastructure models using airborne laserscanning. The Photogrammetric Journal of Finland, 17(1): 43-53.

Hyyppä, H. and J. Hyyppä, 2001. Effects of stand size on the accuracy of remote sensing-based forest inventory. IEEE Transactions on Geoscience and Remote Sensing, 13:2613-2621.

Hyyppä, J. and H. Hyyppä, 2001. Analyzing the effects related to the feasibility of imaging spectrometer AISA for estimation of stand attributes. The Photogrammetric Journal of Finland, 17(2):44-57.

Hyyppä, J. and H. Hyyppä, 2001. HIGH-SCAN - Assessing forest stand attributes by integrated use of high-resolution satellite imagery and laserscanner. Contract Nº ENV4-CT98-0747. Final Report. September 2001. 81 p.

Hyyppä, J., Hyyppä, H. and A. Kukko, 2001. Inventorying single trees with laser scanner. Proceedings of the Fifth International Airborne Remote Sensing Conference and Exhibition, San Francisco, California, USA, 1p.

Hyyppä, J., Kelle, O., Lehikoinen, M. and M. Inkinen, 2001. A segmentation-based method to retrieve stem volume estimates from 3-dimensional tree height models produced by laser scanner. IEEE Transactions of Geoscience and Remote Sensing, 39:969-975.

Hyyppä, J., Pyysalo, U., Hyyppä, H. and A. Samberg, 2001. Elevation accuracy of laser scanning-derived digital terrain and target models in forest environment. 20th EARSeL Symposium and Workshops, June 14-17, 2000, Dresden, Germany, 8 p.

Hyyppä, J., Schardt, M., Haggrén, H., Koch, B., Lohr, U. Scherrer, H.U., Paananen, R., Luukkonen, H., Ziegler, M., Hyyppä, H., Pyysalo, U., Friedländer, H., Uuttera, J., Wagner, S., Inkinen, M., Wimmer, A., Kukko, A., Ahokas, E. and M. Karjalainen, 2001. HIGH-SCAN: The first European-wide attempt to derive single-tree information from laserscanner data. The Photogrammetric Journal of Finland, 17(2):58-68.

Kaasalainen, S., Piironen, J., Muinonen, K., Karttunen, H., Peltoniemi, J., Miloslavskaya, O. and J. Näränen, 2001. Laboratory photometry and polarimetry of regolith-type particulate samples. Asteroids 2001, from Piazzi to the 3rd millennium, Palermo,
Italy, 4 p.

Karjalainen M., Kuittinen R., Junnikkala V., Karvonen T., Nguyen Minh Hieu and Tran Thi Thu Ha, 2001. Rice yield estimation using SAR images, meteorological data and GIS. Proceedings of the ERS-Envisat Symposium, 16-20 October 2000, Gothenburg,
Sweden. 8 p.

Koskinen, J., Pulliainen, J., Hyyppä, J., Engdahl, M. and M. Hallikainen, 2001. The seasonal behavior of interferometric coherence in boreal forest. IEEE Transactions of Geoscience and Remote Sensing, 39:820-829.

Matikainen, L., Hyyppä, J., Kaartinen, H., Ahokas, E. and X. Yu, 2001. Quality of high-pulse-rate laser scanners for updating of city maps. Proceedings of the Fifth International Airborne Remote Sensing Conference and Exhibition, 2001, San Francisco, California, USA, 8 p.

Pellikka, P., 2001. Application of vertical wide-angle photography and airborne video data for phenological studies of beech forests in the German Alps. International Journal of Remote Sensing, 22: 2675-2700.

Widen, N., 2000. A description of the new FGI goniometer and quality analysis of experimental data. Photogrammetric Journal of Finland, 17(1):28-33.

Widen, N., 2001. Directionally independent spectral indices. 8th International Symposium on Physical Measurements and Signatures in Remote Sensing, January 2001, Aussois, France, p. 265.

2000

Ahokas, E., Kuittinen, R., and J. Jaakkola, 2000. A system to control the spatial quality of analogue and digital aerial images. International Archives of Photogrammetry and Remote Sensing, July 16-23, 2000, Amsterdam, the Netherlands, XXXIII(B4/1):45-52.

Engdahl, M and J. Hyyppä, 2000. Temporal averaging of multitemporal ERS-1/2 Tandem INSAR data. Proceedings of IGARSS'2000 Symposium, July 24-28, 2000, Honolulu, Hawaii, USA, 3 p.

Holopainen, M., Lukkarinen, E. ja J. Hyyppä, 2000. Metsän kartoitus lentokoneesta. University of Helsinki. Department of Forest Resource Management, Publications, (26), 65 s.

Honkavaara, E., 2000. Automatic tie point measurement: On properties of tie points, measurement methods and quality issues. Licentiate of Technology Thesis, 92 p.

Hyyppä, J., 2000. Feasibility for estimation of single tree characteristics using laser scanner. Proceedings of IGARSS'2000 Symposium, July 24-28, 2000, Honolulu, Hawaii, USA, 3 p.

Hyyppä, J. and M. Engdahl, 2000. Verification of the capability of repeat-pass SAR interferometry to provide tree height information in boreal forest zone. Proceedings of IGARSS'2000 Symposium, July 24-28, 2000, Honolulu, Hawaii, USA, 3 p.

Hyyppä, J., Hyyppä, H., Inkinen, M., Engdahl, M., Linko, S., and Y.H. Zhu, 2000. Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributes. Forest Ecology and Management, 128:109-120.

Hyyppä, J., Hyyppä, H., Inkinen, M., Schardt, M. and M. Ziegler, 2000. Forest inventory based on laser scanning and aerial photography. Proceedings of AeroSense'2000, April 24-28, 2000, Orlando, Florida, USA, Laser Radar Technology and Applications V, 4035:106-118.

Hyyppä, J., Hyyppä, H. and G. Ruppert, 2000. Automatic derivation of features related to forest stand attributes using laser scanner. International Archives of Photogrammetry and Remote Sensing, July 16-23, 2000, Amsterdam, the Netherlands, XXXIII(B3/1):
421-428.

Hyyppä, J., and Inkinen, M., 2000. Detecting and estimating attributes for single trees using laser scanner. The Photogrammetric Journal of Finland, 16(2):27-42.

Hyyppä, J., and Engdahl, M., 2000. Verification of the capability of repeat-pass ERS-1/2 SAR interferometry to provide digital elevations models and the impact of tree height and canopy closure on SAR-derived terrain height in boreal forests. The Photogrammetric Journal of Finland, 16(2):16-26.

Hyyppä, H., and Hyyppä, J., 2000. Comparing the accuracy of laser scanner with other optical remote sensing data sources for stand attribute retrieval. The Photogrammetric Journal of Finland, 16(2):5-15.

Hyyppä, J., Pyysalo, U., Hyyppä, H., Haggrén, H. and G. Ruppert, 2000. Accuracy of laser scanning for DTM generation in forested areas. Proceedings of AeroSense'2000, April 24-28, 2000, Orlando, Florida, USA, Laser Radar Technology and Applications V, 4035:119-130.

Karjalainen, M. and R. Kuittinen, 2000. Interactive exterior orientation using linear features from vector map. Höhle, J. (reported), OEEPE Official Publication, (36):127-132.

Matikainen, L., Peltoniemi, J. and R. Kuittinen, 2000. Bidirectional reflectance distribution functions (BRDF) of snow in interpretation of snow-covered area from satellite images. Final report, 36 p.

Piironen, J., Muinonen, K., Keränen, S., Karttunen, H., and Peltoniemi, J., 2000. Backscattering of light from snow: field measurements. In: M. M. Verstraete, M. Menenti, and J. I. Peltoniemi, (eds.), Observing Land from Space: Science, Customers and Technology, Kluwer, (Advances in Global Change Research 4), pp. 219-228.

Wimmer, A., Schardt, M., Ziegler, M., Ruppert, G., Granica, K., Schmitt, U., Gallaun, H. and J. Hyyppä, 2000. Forest inventories by means of satellite remote sensing and laser scanning. International Archives of Photogrammetry and Remote Sensing, July 16-23, 2000, Amsterdam, the Netherlands, XXXIII(B7/3):1316-1324.

Ziegler, M., Konrad, H., Hofrichter, J., Wimmer, A., Ruppert, G., Schardt, M. and J. Hyyppä, 2000. Assessment of forest attributes and single-tree segmentation by means of laser scanning. Proceedings of AeroSense'2000, April 24-28, 2000, Orlando, Florida, USA, Laser Radar Technology and Applications V, 4035:73-84.

1999

Honkavaara, E., Kaartinen, H., Kuittinen, R., Huttunen, A. and Jaakkola, J., 1999. Quality of FLPIS orthophotos. Reports of the Finnish Geodetic Institute, 99:1, 33 p. http://hdl.handle.net/10138/353555 

Honkavaara, E., Bilker, M., Yu, X., Jaakkola, J., Kaartinen, H. and Ylönen, J., 1999. Orientation of optical airborne and space-borne images for small and medium scale mapping purposes. Reports of the Finnish Geodetic Institute, 99:5, 57 p. http://hdl.handle.net/10138/353563 

Kaartinen, H., Huttunen, A., Kuittinen, R., Honkavaara, E. and Jaakkola, J., 1999. Quality of FLPIS land parcel digitization. Reports of the Finnish Geodetic Institute, 99:2, 26 p. http://hdl.handle.net/10138/353557 

Karjalainen, M. ja Kuittinen, R., 1999. Ortokuvien tuottaminen peltolohkotietokannan ajantasaistukseen ja viljakasvien tulkintaan. Geodeettisen laitoksen tiedote, (21), 39 p.

Koskinen, J., Metsämäki, S., Grandell, J., Jänne, S., Matikainen, L., and Hallikainen, M. 1999. Snow monitoring using radar and optical satellite data. Remote Sensing of Environment, Vol. 69, pp.16-29.

Kuittinen, R., Ahokas, E., Granqvist, M., Ikäheimo, E., Heikinheimo, M., Venäläinen, A., Jänne, S., Keskisarja, V., Parmes, E., Perdigao, V. and Goot, E., 1999. An early crop yield estimation method for Finnish conditions: The crop growth monitoring system of the Joint Research Centre with and without remotely sensed and other additional input data. Space Applications Institute, Agriculture and Regional Information Systems Unit. Ispra. Italy.

Kuittinen, R., Keskisarja, V. and Matikainen, L., 1999. Integration of geographic and administrative information in crop yield prediction. Proceedings of the 52^nd Session of the International Statistical Institute. August 10-18.1999, Helsinki, Finland.

Kuittinen, R., Matikainen, L., Keskisarja, V. and Perdigao, V. Integration of satellite data and administrative information in crop yield forecasting. Proceedings of the EARSeL 19^th Symposium "Remote sensing in the 21^st century: Economic and environmental applications". Valladolid, Spain.

Matikainen, L., Grandell, J., Kuittinen, R. and Vepsäläinen, J., 1999. Snowmelt monitoring using multisource satellite image and ground measurement data. Reports of the Finnish Geodetic Institute, 99:8, 46 p. http://hdl.handle.net/10138/353568 

Widen N., Peltoniemi J. ja Kuittinen R. Lentokoneiden kuvausjärjestelmien käyttömahdollisuudet. Final report of MATINE.

1998

Bilker, M., Honkavaara, E. and Jaakkola, J., 1998. GPS supported aerial triangulation using untargeted ground control. ISPRS Commission III Symposium "Object Recognition and Scene Classification from Multispectral and Multi-sensor Pixels", July 6-10, 1998, Columbus, Ohio. Schenk, T. and A. Habib (eds), International Archives of Photogrammetry and Remote Sensing, 32(3/1): 2-9.

Grandell, J., 1998. Possibilities for a synergetic use of coarse resolution active and passive microwaves for sea ice retrievals. Proceedings of the Emerging Scatterometer Applications Workshop, ESTEC, 5-7 October, 1998, Noordwijk, The Netherlands, pp. 107-113.

Grandell, J., Johannessen, J. and Hallikainen, M., 1998. Comparison of ERS-1 AMI Wind Scatterometer and SSM/I Sea Ice Extent Retrievals in the Greenland and East Siberian Seas from 1992 to 1996, Helsinki University of Technology, Laboratory of Space Technology, Report 32, 22 p.

Grandell, J., Johannessen, J. and Hallikainen, M., 1999. Development of a Synergetic Sea Ice Retrieval Method for the ERS-1 AMI Wind Scatterometer and the SSM/I Radiometer. IEEE Transactions on Geoscience and Remote Sensing, 37(2): 668-679.

Grandell, J., Johannessen, J. and Hallikainen, M., 1998. Changes in the Greenland Sea and East Siberian Sea Ice Covers Affecting the Annual Cycle of Vertical Salt Fluxes, Helsinki University of Technology, Laboratory of Space Technology, Report 33, 8 p.

Grandell, J., Matikainen, L., Koskinen, J., Metsämäki, S., Jänne, S. and Kuittinen, R., 1998. Synergy of ERS SAR, NOAA AVHRR and ground measurements for monitoring of the snow melt process. Proceedings of the workshop for retrieval of bio- and geophysical parameters from SAR data for land applications, ESTEC, 21-23 October, 1998, Noordwijk, The Netherlands, pp. 527-533.

Grandell, J., Pulliainen, J. and Hallikainen, M., 1998. Sub-pixel land use classification and retrieval of forest stem volume in the boreal forest zone by employing SSM/I data. Remote Sensing of Environment, 63(1):140-154.

Honkavaara, E., Kaartinen, H., Kuittinen, R., Huttunen, A. and Jaakkola, J., 1998. The quality control of the Finnish land parcel identification system orthophoto production. ISPRS Commission IV Symposium "GIS - Between Visions and Applications", Sept. 7-10, 1998, Stuttgart, Germany. D. Fritsch, M. Englich and M. Sester (eds), International Archives of Photogrammetry and Remote Sensing, 32(4): 252-259.

Honkavaara, E. and Jaakkola, J., 1998. On properties of automatically measured tie point observations. ISPRS Commission III Symposium "Object Recognition and Scene Classification from Multi-spectral and Multisensor Pixels", July 6-10, 1998, Columbus, Ohio. Schenk, T. and A. Habib (eds), International Archives of Photogrammetry and Remote Sensing, 32(3/1): 42-51.

Kuittinen, R., Ahokas, E., Granqvist, M., Ikäheimo, E., Heikinheimo, M., Venäläinen, A., Jänne, S., Keskisarja, V., Parmes, E., Perdigao, V. and Goot, E., 1998. An early crop yield estimation method for Finnish conditions: The crop growth monitoring system of the Joint Research Centre with and without remotely sensed and other additional input data. Reports of the Finnish Geodetic Institute, 98:2, 114 p. http://hdl.handle.net/10138/353540 

Kuittinen, R., 1998. Satellite remote sensing in monitoring hydrological variability caused by climate change. Proceedings of the Second International Conference on Climate and Water, 17-20 August 1998, Espoo, Finland, 2: 647-653.

Matikainen, L., Karjalainen, M. and Kuittinen, R., 1998. SAR images and ancillary data in crop species interpretation. Reports of the Finnish Geodetic Institute, 98:1, 47 p. http://hdl.handle.net/10138/353538 

Metsämäki, S., Jänne, S., Koskinen, J. and Grandell, J., 1998. The use of NOAA AVHRR imagery in snow monitoring. Proceedings of the Digest IEEE International Geoscience and Remote Sensing Symposium (IGARSS'98), Seattle, USA.

Peltoniemi, J., Nousiainen, T. and Muinonen, K., 1998. Light scattering by Gaussian random particles using various volume-integral-equations. Proceedings of the Conference on Light Scattering by Nospherical Particles: Theory, Measurements and Applications, 29 Sept.-1 Oct. 1998, New York, pp. 195-198.

Piironen, J., Muinonen, K., Nousiainen, T., Roth, S. and Peltoniemi, J., 1998. Albedo measurements on meteorite particles. Planetary Space Science, 46(8): 937-943.

Yu, X., Honkavaara, E., Jaakkola., J. and Ylönen, J., 1998. Modelling Geometry of Space-borne CCD Linear Array Sensor - Experiences with JERS/VNIR Images. The Photogrammetric Journal of Finland, 16(1): 29-38.