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Above-Ground Biomass Estimation Based on Multi-Angular L-Band Measurements of Brightness Temperatures.

, , , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)

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Above Ground Biomass Estimation from Passive Microwaves Brightness Temperatures Using Neural Networks., , , , , , , and . IGARSS, page 7795-7798. IEEE, (2022)Evaluation of the Sensitivity of SMOS L-VOD to Forest Above-Ground Biomass at Global Scale., , , , , , and . Remote. Sens., 12 (9): 1450 (2020)Above-Ground Biomass Estimation Based on Multi-Angular L-Band Measurements of Brightness Temperatures., , , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)Forest Disturbances and Regrowth Assessment Using ALOS PALSAR Data from 2007 to 2010 in Vietnam, Cambodia and Lao PDR., and . Remote Sensing, 8 (3): 217 (2016)Smos L-Band Vegetation Optical Depth is Highly Sensitive to Aboveground Biomass., , , , , , , , , and 2 other author(s). IGARSS, page 9038-9041. IEEE, (2018)Improving Heterogeneous Forest Height Maps by Integrating GEDI-Based Forest Height Information in a Multi-Sensor Mapping Process., , , , , , , and . Remote. Sens., 14 (9): 2079 (2022)Continuous Detection of Forest Loss in Vietnam, Laos, and Cambodia Using Sentinel-1 Data., , , , and . Remote. Sens., 13 (23): 4877 (2021)Forest biomass retrieval approaches from earth observation in different biomes., , , , , , , , , and 9 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2019)Use of SAR and Optical Time Series for Tropical Forest Disturbance Mapping., , , , , and . Remote. Sens., 12 (4): 727 (2020)Retrieval of River Ice Thickness From C-Band PolSAR Data., , , , , and . IEEE Trans. Geosci. Remote. Sens., 52 (6): 3052-3062 (2014)