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2019

Peltoniemi, Jouni I.; Järvinen, Juha; Zubko, Nataliya; Gritsevich, Maria. 2019.
Spectropolarimetric characterization of pure and polluted land surfaces. Taylor& Francis. International journal of remote sensing.
Perheentupa, Viljami; Mäkinen, Ville; Oksanen, Juha. 2019.
Making post-glacial uplift visible: A model based high-resolution animation of shore displacement. Copernicus Publications. The Abstracts of the International Cartographic Association (Abstracts of the ICA), 1, 296.
Pirotti, Francesco; Liang, Xinlian; Chen, Qi. 2019.
Preface of Special Issue on Laser Scanning. MDPI. Applied Sciences, 9(13), 2713.
Poutanen, Markku. 2019.
Foreword. Monmap and Lantmäteriet.
Poutanen, Markku. 2019.
Metreistä millien tarkkuuteen. Kirkkonummen Metsähovi mittaa maapallon asentoa. Tähtitieteellinen yhdistys Ursa ry. Tähdet ja Avaruus, (4/2019).
Poutanen, Markku. 2019.
Koordinaattijärjestelmien murros 1990-luvulla. Kustannusosakeyhtiö AtlasArt.
Poutanen, Markku. 2019.
Kansainvälisen geodeettisen järjestön ohjaksissa. Maanmittauslaitos. Viisari, (4/2019).
Puranen, Tuomas; Helander, Petteri; Meriläinen, Antti; Maconi, Göran et al. 2019.
Multifrequency Acoustic Levitation. IEEE. IEEE International Ultrasonics Symposium.
Puttonen, Eetu; Lehtomäki, Matti; Litkey, Paula; Näsi, Roope et al. 2019.
A Clustering Framework for Monitoring Circadian Rhythm in Structural Dynamics in Plants From Terrestrial Laser Scanning Time Series. Frontiers Research Foundation. Frontiers in plant science, (10).
Pyörälä, Jiri; Kankare, Ville; Liang, Xinlian; Saarinen, Ninni et al. 2019.
Assessing log geometry and wood quality in standing timber using terrestrial laser-scanning point clouds. Forestry, 92(2).
Pyörälä, Jiri; Saarinen, Ninni; Kankare, Ville; Coops, Nicholas C. et al. 2019.
Variability of wood properties in standing timber with terrestrial and airborne laser scanning. Remote sensing of environment, 235, 111474.
Reini, Jari. 2019.
Standardeja tarvitaan myös ilmastonmuutoksen seurannassa. Positio, (3).
Ronzhin, Stanislav; Folmer, Erwin; Lemmens, Rob; Mellum, Roy et al. 2019.
Next Generation of Spatial Data Infrastructure: Lessons from Linked Data implementations across Europe. European Commission. International Journal of Spatial Data Infrastructures Research, 14.
Rönneberg, Mikko; Koski, Christian; Kettunen, Pyry; Oksanen, Juha et al. 2019.
Guidelines for the establishment of the SDSS platform for MSP. European Union. BONUS BASMATI Deliverable 5.4.
Saarinen, Ninni; Kankare, Ville; Pyörälä, Jiri; Yrttimaa, Tuomas et al. 2019.
Assessing the Effects of Sample Size on Parametrizing a Taper Curve Equation and the Resultant Stem-Volume Estimates. Forests, 10(10), 848.
Sansom, Eleanor K.; Gritsevich, Maria; Devillepoix, Hadrien A. R.; Jansen-Sturgeon, Trent et al. 2019.
Determining fire-ball fates using the α-β criterion. IOP Publishing. Astrophysical journal, 885(2), 115.
Saukkola, Atte; Melkas, Timo; Riekki, Kirsi; Sirparanta, Sanna et al. 2019.
Predicting Forest Inventory Attributes Using Airborne Laser Scanning, Aerial Imagery, and Harvester Data. Remote sensing, 11(7), 797.
Shevchenko, Vasilij G.; Belskaya, Irina N.; Mikhalchenko, Olga I.; Muinonen, Karri et al. 2019.
Phase integral of asteroids. EDP Sciences. Astronomy and astrophysics, 626, A87.
Sulonen, Kimmo; Konttinen, Kalle. 2019.
Kunnan maa- ja metsätalousmaat hyötykäyttöön. Maankäyttö, (3).
Sulonen, Kimmo; Riekkinen, Kirsikka; Kotilainen, Seija. 2019.
Customer-oriented approach in cadastral procedures – Case study from Finland. Elsevier. Land use policy, 90, 104209.
Tanhuanpää, Topi; Yu, Xiaowei; Luoma, Ville; Saarinen, Ninni et al. 2019.
Effect of canopy structure on the performance of tree mapping methods in urban parks. Urban forestry and urban greening, 44, 126441.
Thombre, Sarang; Marila, Simo; Kirkko-Jaakkola, Martti; Honkala, Salomon et al. 2019.
What are the challenges to localization in autonomous cars in the Arctic?. Inside GNSS Media & Research LLC. InsideGNSS, 14(2).
Tommaselli, Antonio M.G.; Santos, Lucas D.; Oliveira, Raquel; Berveglieri, Adilson et al. 2019.
Refining the Interior Orientation of a Hyperspectral Frame Camera with Preliminary Bands Co-Registration. IEEE. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(7).
Virtanen, Juho-Pekka. 2019.
Emerging near-consumer-level technologies for 3D geomatics. Aalto University.
Virtanen, Juho-Pekka; Antin, Kim-Niklas; Kurkela, Matti; Hyyppä, Hannu. 2019.
The feasibility of using a low-cost depth camera for 3D scanning in mass customization. DE GRUYTER. Open Engineering, 9(1).
Visuri, Hanna; Jokela, Joonas; Mesterton, Nils; Latvala, Pekka et al. 2019.
Producing and visualizing a country-wide 3D data repository in Finland. Copernicus Publications. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4/W15, 2019.
Väisänen, Timo; Markkanen, Johannes; Penttilä, Antti; Muinonen, Karri. 2019.
Radiative transfer with reciprocal transactions: numerical method and its implementation. PLoS ONE, 14(1), 0210155.
Wan, Peng; Wang, Tiejun; Zhang, Wuming; Liang, Xinlian et al. 2019.
Quantification of occlusions influencing the tree stem curve retrieving from single-scan terrestrial laser scanning data. Springer Publishing Company. Forest Ecosystems, 6, 43.
Wang, Yunsheng; Lehtomäki, Matti; Liang, Xinlian; Pyörälä, Jiri Kristian et al. 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. Elsevier Science Publishers. Isprs journal of photogrammetry and remote sensing, 147.
Wang, Yunsheng; Pyörälä, Jiri; Liang, Xinlian; Lehtomäki, Matti et al. 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. Elsevier Science Publishers. Remote Sensing of Environment, 232.
White, Joanne C.; Saarinen, Ninni; Wulder, Michael A.; Kankare, Ville et al. 2019.
Assessing spectral measures of post-harvest forest recovery with field plot data. International journal of applied earth observation and geoinformation, 80.
Xiao, Wen; Zaforemska, Aleksandra; Smigaj, Magdalena; Wang, Yunsheng et al. 2019.
Mean shift segmentation assessment for individual forest tree delineation from airborne lidar data. MDPI. Remote Sensing, 11(11), 1263.
Xuan, Z.; Zhi, Y.; Wang, S.; Zhang, Y. et al. 2019.
Rapid and Precise Wavelength Determination Approach Based on Visually Patterned Integrated Narrow Bandpass Filters. IEEE Photonics Journal, 11(1).
Yang, Sheng; Li, Leilei; Liu, Jingbin; Chen, Qusen et al. 2019.
Effective Cycle Slip Detection and Repair for PPP/INS Integrated Systems. MDPI. Sensors, 19(3), 502.
Yrttimaa, Tuomas; Saarinen, Ninni; Kankare, Ville; Liang, Xinlian et al. 2019.
Investigating the Feasibility of Multi-Scan Terrestrial Laser Scanning to Characterize Tree Communities in Southern Boreal Forests. Remote sensing, 11(12), 1423.
Yrttimaa, Tuomas; Saarinen, Ninni; Luoma, Ville; Tanhuanpää, Tomi et al. 2019.
Detecting and characterizing downed dead wood using terrestrial laser scanning. Elsevier. ISPRS Journal of Photogrammetry and Remote Sensing, 151.
Zhu, Lingli; Kukko, Antero; Virtanen, Juho-Pekka; Hyyppä, Juha et al. 2019.
Multisource point clouds, point simplification and surface reconstruction. MDPI AG. Remote sensing, 11(22), 2659.
Zubko, Nataliya; Muños, Olga; Zubko, Evgenij; Gritsevich, Maria et al. 2019.
Light scattering from volcanic-sand particles in deposited and aerosol form. Atmospheric environment, 215, 116813.
Ärölä, Esa; Järvinen, Seppo; Kallatsa, Mikko. 2019.
Metsän hinta Suomessa 2015–2016. Maanmittauslaitos. Maanmittauslaitoksen julkaisuja, (nro 116).

2018

Aarnio, Timo. 2018.
Paikka- ja tilastotietojen yhdistämistä pilotoidaan Paikkatietoalustassa. Positio - paikkatiedon erikoislehti, (3).
Aasen, Helge; Honkavaara, Eija; Lucieer, Arko; Zarco-Tejada, Pablo J.. 2018.
Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows. MDPI. Remote Sensing, 10(7).
Acanfora, Maria; Krata, Przemysław; Montewka, Jakub; Kujala, Pentti. 2018.
Towards a method for detecting large roll motions suitable for oceangoing ships. Elsevier. Applied ocean research, 79.
Babusiaux, C.; van Leeuwen, F.; Barstow, M.A.; Jordi, C. et al. 2018.
Gaia Data Release 2, Observational Hertzsprung-Russell diagrams. Astronomy and astrophysics, 616, 10.
Blomqvist, Minna; Kosunen, Maiju; Starr, Mike; Kantola, Tuula et al. 2018.
Modelling the predisposition of Norway spruce to Ips typographus L. infestation by means of environmental factors in southern Finland. Springer. European journal of forest research, 137(5).
Bocanegra-Bahamón, Tatiana; Molera Calvés, Guifré; Gurvits, Leonid I.; Duev, Dmitry A. et al. 2018.
Planetary Radio Interferometry and Doppler Experiment (PRIDE) Technique: a Test Case of the Mars Express Phobos Fly-by. 2. Doppler tracking: Formulation of observed and computed values, and noise budget.. EDP Sciences. Astronomy and astrophysics, 609, A59.
Calle, Mikel; Alho, Petteri; Benito, Gerardo. 2018.
Monitoring ephemeral river changes during floods with Sfm photogrammetry. Journal of Iberian Geology. Journal of iberian geology, 44(3).
Campos, Mariana Batista; Tommaselli, Antonio Maria Garcia; Marcato Junior, José; Honkavaara, Eija. 2018.
Geometric model and assessment of a dual-fisheye imaging system. Blackwell. Photogrammetric record, 33(162).
Chen, Shoubin; Liu, Jingbin; Huang, Wenchao; Chen, Ruichi. 2018.
Wide Swath Stereo Mapping from Gaofen-1 Wide-Field-View (WFV) Images Using Calibration. Molecular Diversity Preservation International (MDPI). Sensors, 18(3), 739.
Chen, Yuwei; Jiang, Changhui; Hyyppä, Juha; Qiu, Shi et al. 2018.
Feasibility study of ore classification using active hyperspectral LiDAR. Institute of Electrical and Electronics Engineers. IEEE Geoscience and Remote Sensing Letters, 15(11).
Chen, Yuwei; Tang, Jian; Jiang, Changhui; Zhu, Lingli et al. 2018.
The Accuracy Comparison of Three Simultaneous Localization and Mapping (SLAM)-Based Indoor Mapping Technologies. MDPI AG. Sensors, 18(10), 3228.

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