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Machine-Learning Applications for the Retrieval of Forest Biomass from Airborne P-Band SAR Data., , , , , , and . Remote Sensing, 12 (5): 804 (2020)On the Use of COSMO-SkyMed X-Band SAR for Estimating Snow Water Equivalent in Alpine Areas: A Retrieval Approach Based on Machine Learning and Snow Models., , , , , , , , , and 1 other author(s). IEEE Trans. Geosci. Remote. Sens., (2022)Automated Content Extraction from SAR Data., , , , , and . IGARSS, page 821-824. IEEE, (2006)Soil moisture estimation using synergy of optical, SAR, and topographic data with Gaussian Process Regression., , , , , , , , , and 1 other author(s). SAR, volume 9243 of SPIE Proceedings, page 92430R. SPIE, (2014)Multi-Temporal X-Band Radar Interferometry Using Corner Reflectors: Application and Validation at the Corvara Landslide (Dolomites, Italy)., , , , , , , , , and . Remote. Sens., 9 (7): 739 (2017)Forest Height Estimation Using Sentinel-1 Interferometry. A Phase Unwrapping-Free Method Based on Least Squares Adjustment., , , and . ASITA, volume 1651 of Communications in Computer and Information Science, page 251-262. Springer, (2022)Multifrequency SAR Data for Estimating Snow, Soil and Vegetation Parameters., , , , , , , , , and 4 other author(s). IGARSS, page 5180-5183. IEEE, (2022)SAR image segmentation through information-theoretic heterogeneity features and tree-structured Markov random fields., , , , , and . IGARSS, page 2803-2806. IEEE, (2005)The use of COSMO-SkyMed images for retrieving snow depth and soil moisture in mountainous areas., , , , , , and . IGARSS, page 3654-3657. IEEE, (2014)On The Use of Machine Learning and Polarimetry For Estimating Soil Moisture From Radarsat Imagery Over Italian And Canadian Test Sites., , , , , , and . IGARSS, page 5760-5763. IEEE, (2019)