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Biomass of dense forests related to L-band SAR backscatter?, , , , , and . IGARSS, page 1037-1040. IEEE, (2014)UNDER-estimation of biomass loss with REDD+ standard reporting method., , , and . IGARSS, page 3882-3885. IEEE, (2015)Retrieval of River Ice Thickness From C-Band PolSAR Data., , , , , and . IEEE Trans. Geosci. Remote. Sens., 52 (6): 3052-3062 (2014)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)Investigation of Radarsat-2 and Terrasar-X Data for River Ice Classification., , , and . IGARSS (2), page 29-32. IEEE, (2009)Investigating polarimetric SAR data for cryospheric monitoring in a Canadian environment., , , , , and . IGARSS, page 4. IEEE, (2005)Retrieval of river ice thickness from C-band PolSAR data., , , , , and . IGARSS, page 3237-3240. IEEE, (2012)Smos L-Band Vegetation Optical Depth is Highly Sensitive to Aboveground Biomass., , , , , , , , , and 2 other author(s). IGARSS, page 9038-9041. IEEE, (2018)Assessment of tropical forest biomass: A challenging objective for the biomass mission., , , , and . IGARSS, page 7581-7584. IEEE, (2012)