2014
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.
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.
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.
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.
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.
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.
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.
2013
Holopainen, M., Kankare, V., Vastaranta, M., Liang, X., Lin, Y., Vaaja, M., Yu, X., Hyyppä, J., Hyyppä, H., Kaartinen, H., Kukko, A., Tanhuanpää, T., Alho, P., 2013. Tree mapping using airborne, terrestrial and mobile laser scanning – A case study in a heterogeneous urban forest. Urban Forestry & Urban Greening.
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. In 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, 49-95. https://www.eurosdr.net/publications/62.pdf
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. Retrieval of Forest Aboveground Biomass and Stem Volume with Airborne Scanning LiDAR. Remote Sens. 2013, 5(5), 2257-2274. doi:10.3390/rs5052257
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://doi.org/10.1016/j.isprsjprs.2012.10.003
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
Kasvi, E., Alho, P., Vaaja, M., Hyyppä, H., Hyyppä, J., 2013. Spatial and temporal distribution of fluvio-morphological processes on a meander point bar during a flood event. IWA Publishing Hydrology Research. doi:10.2166/nh.2013.091
Liang, X., 2013. Feasibility of Terrestrial Laser Scanning for Plotwise Forest Inventories. Doctoral thesis, Aalto University. In Publications of the Finnish Geodetic Institute N:o 149, 150 p.
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., 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
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., 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. (2013). Geometrically modeling 2D scattered points: a review of the potential for methodologically improving mobile laser scanning in data processing. International Journal of Digital Earth, (ahead-of-print), 1-18. doi:10.1080/17538947.2013.781239
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. http://dx.doi.org/10.1016/j.isprsjprs.2013.06.005.
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 https://www.mdpi.com/2072-4292/5/10/5285
Vaaja, M., Kukko, A., Kaartinen, H., Kurkela, M., Kasvi, E., Flener, C., Hyyppä, H., Hyyppä, J., Järvelä, J., 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
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.