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Development of a System of Compatible Individual Tree Diameter and Aboveground Biomass Prediction Models Using Error-In-Variable Regression and Airborne LiDAR Data.

, , , , , , , , and . Remote Sensing, 10 (2): 325 (2018)

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Forest mapping using ENVISAT and ERS SAR data in Northeast of China., , , and . IGARSS, page 5670-5673. IEEE, (2005)Temperate forest aboveground biomass estimation by means of multi-sensor fusion: The Daxinganling campaign., , , , and . IGARSS, page 991-994. IEEE, (2013)Simulation of carbon flux of forest ecosystem by Biome-BGC and MODIS-PSN models., , , , , , and . IGARSS, page 1065-1068. IEEE, (2014)Geostatistical modeling using LiDAR-derived prior knowledge with SPOT-6 data to estimate temperate forest canopy cover and above-ground biomass via stratified random sampling., , , , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2015)Study of morphological crown control in LiDAR-derived canopy height model., , , and . IGARSS, page 5927-5930. IEEE, (2012)Land cover classification by Support Vector Machines using multi-temporal polarimetric SAR data., , , , , , and . IGARSS, page 6244-6246. IEEE, (2012)Optimal Support Vector Machines for forest above-ground biomass estimation from multisource remote sensing data., , , , , , , , and . IGARSS, page 6388-6391. IEEE, (2012)China typical forest aboveground biomass estimation by fusion of multi-platform data., , , , , , , and . IGARSS, page 3557-3560. IEEE, (2016)Synthesis of Leaf-on and Leaf-off Unmanned Aerial Vehicle (UAV) Stereo Imagery for the Inventory of Aboveground Biomass of Deciduous Forests., , , , , , , and . Remote Sensing, 11 (7): 889 (2019)Convolutional Highway Unit Network for Large-Scale Classification with GF-3 Dual-Pol Sar Data., , , , and . IGARSS, page 2424-2427. IEEE, (2018)