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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)

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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)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)Automatic deforestation detection using time series Landsat images in a tropical forest of China., , , , and . IGARSS, page 3872-3875. IEEE, (2013)Forest Stand Height Estimation Using Ziyuan-3 Tri-Stereo Imagery and Lidar., , , , , , , and . IGARSS, page 6681-6684. IEEE, (2019)Estimation of Evapotranspiration in Sparse Vegetation Areas by Applying an Optimized Two-Source Model., , , and . Remote. Sens., 13 (7): 1344 (2021)Compact Polarimetric Response of Rape (Brassica napus L.) at C-Band: Analysis and Growth Parameters Inversion., , , , , , and . Remote. Sens., 9 (6): 591 (2017)Temporal Polarimetric Behavior of Oilseed Rape (Brassica napus L.) at C-Band for Early Season Sowing Date Monitoring., , , , , , , and . Remote. Sens., 6 (11): 10375-10394 (2014)Mapping Aboveground Biomass using Texture Indices from Aerial Photos in a Temperate Forest of Northeastern China., , , , and . Remote. Sens., 8 (3): 230 (2016)A New Approach for Forest Height Inversion Using X-Band Single-Pass InSAR Coherence Data., , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)