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Forest aboveground carbon mapping using multiple source remote sensing data in the Greater Mekong Subregion.

, and . IGARSS, page 2035-2037. IEEE, (2015)

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Automatic deforestation detection using time series Landsat images in a tropical forest of China., , , , and . IGARSS, page 3872-3875. IEEE, (2013)Compact Polarimetric Response of Rape (Brassica napus L.) at C-Band: Analysis and Growth Parameters Inversion., , , , , , and . Remote Sensing, 9 (6): 591 (2017)Mapping Aboveground Biomass using Texture Indices from Aerial Photos in a Temperate Forest of Northeastern China., , , , and . Remote Sensing, 8 (3): 230 (2016)Improving Measurement of Forest Structural Parameters by Co-Registering of High Resolution Aerial Imagery and Low Density LiDAR Data., , , , and . Sensors, 9 (3): 1541-1558 (2009)Temporal Polarimetric Behavior of Oilseed Rape (Brassica napus L.) at C-Band for Early Season Sowing Date Monitoring., , , , , , , and . Remote Sensing, 6 (11): 10375-10394 (2014)Desertification monitoring and assessment: A new remote sensing method., , , , and . IGARSS, page 3810-3813. IEEE, (2016)Terrain effect correction method for Insar ILU image., , , , , and . IGARSS, page 79-82. IEEE, (2017)The Synergetic Estimation Approach of Forest Above Ground Biomass Based on X-Band Insar and P-Band Polsar Data., , , , , and . IGARSS, page 9018-9021. IEEE, (2018)Forest Stand Height Estimation Using Ziyuan-3 Tri-Stereo Imagery and Lidar., , , , , , , and . IGARSS, page 6681-6684. IEEE, (2019)Reprint of: Estimation of forest above-ground biomass using multi-parameter remote sensing data over a cold and arid area., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2012)