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Integrating Vegetation Indices Models and Phenological Classification with Composite SAR and Optical Data for Cereal Yield Estimation in Finland (Part I)., , , and . Remote. Sens., 2 (1): 76-114 (2010)Laser Scanning in Forests., , and . Remote. Sens., 4 (10): 2919-2922 (2012)Photorealistic Building Reconstruction from Mobile Laser Scanning Data., , , , and . Remote. Sens., 3 (7): 1406-1426 (2011)A 10-nm Spectral Resolution Hyperspectral LiDAR System Based on an Acousto-Optic Tunable Filter., , , , , , , , and . Sensors, 19 (7): 1620 (2019)Assessing spectral measures of post-harvest forest recovery with field plot data., , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2019)Backscattering properties of boreal forests at the C- and X-bands., , , and . IEEE Trans. Geosci. Remote. Sens., 32 (5): 1041-1050 (1994)Allocating tree crown pruning with ALS-data - A case study in the city of Helsinki., , , , , , and . JURSE, page 1-4. IEEE, (2015)Characterizing 3D City Modeling Projects: Towards a Harmonized Interoperable System., , , , , , , and . ISPRS Int. J. Geo Inf., 7 (2): 55 (2018)Comparison of Laser and Stereo Optical, SAR and InSAR Point Clouds from Air- and Space-Borne Sources in the Retrieval of Forest Inventory Attributes., , , , , , , , , and 6 other author(s). Remote. Sens., 7 (12): 15933-15954 (2015)Predicting Forest Inventory Attributes Using Airborne Laser Scanning, Aerial Imagery, and Harvester Data., , , , , , , and . Remote. Sens., 11 (7): 797 (2019)