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Complementarity of X-, C-, and L-band SAR Backscatter Observations to Retrieve Forest Stem Volume in Boreal Forest., , , and . Remote Sensing, 11 (13): 1563 (2019)Cross-Comparison of Three SAR Soil Moisture Retrieval Algorithms Using Synthetic and Experimental Data., , , , , , , and . IGARSS, page 6123-6126. IEEE, (2018)Sentinel-1 & Sentinel-2 for SOIL Moisture Retrieval at Field Scale., , , , , , , , , and 7 other author(s). IGARSS, page 6143-6146. IEEE, (2018)Research Pathways of Forest Above-Ground Biomass Estimation Based on SAR Backscatter and Interferometric SAR Observations., and . Remote Sensing, 10 (4): 608 (2018)Sentinel-1 high resolution soil moisture., , , , , , , , , and 17 other author(s). IGARSS, page 5533-5536. IEEE, (2017)Estimates of Forest Growing Stock Volume for Sweden, Central Siberia, and Québec Using Envisat Advanced Synthetic Aperture Radar Backscatter Data., , , , , , , , and . Remote. Sens., 5 (9): 4503-4532 (2013)MAD-MEX: Automatic Wall-to-Wall Land Cover Monitoring for the Mexican REDD-MRV Program Using All Landsat Data., , , , , , , , , and 2 other author(s). Remote Sensing, 6 (5): 3923-3943 (2014)Benchmarking the Retrieval of Biomass in Boreal Forests Using P-Band SAR Backscatter with Multi-Temporal C- and L-Band Observations., , , and . Remote Sensing, 11 (14): 1695 (2019)An Error Model for Mapping Forest Cover and Forest Cover Change Using L-Band SAR., , and . IEEE Geosci. Remote. Sens. Lett., 15 (1): 107-111 (2018)Improvement of interferometric SAR coherence estimates by slope-adaptive range common-band filtering., , , and . IGARSS, page 129-132. IEEE, (2007)