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Combining Machine Learning and Compact Polarimetry for Estimating Soil Moisture from C-Band SAR Data., , , and . Remote Sensing, 11 (20): 2451 (2019)Modeling the Multifrequency Emission of Broadleaf Forests and Their Components., , , , , , and . IEEE Trans. Geosci. Remote. Sens., 48 (1-1): 260-272 (2010)The Potential of ALOS-2 and Sentinel-1 Radar Data for Soil Moisture Retrieval With High Spatial Resolution Over Agroforestry Areas, China., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)A Comparison of Algorithms for Retrieving Soil Moisture from ENVISAT/ASAR Images., , , and . IEEE Trans. Geosci. Remote. Sens., 46 (10): 3274-3284 (2008)On the Relationship Between Stickiness in DMRT Theory and Physical Parameters of Snowpack: Theoretical Formulation and Experimental Validation With SNOWPACK Snow Model and X-Band SAR Data., , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Robust Assessment of an Operational Algorithm for the Retrieval of Soil Moisture From AMSR-E Data in Central Italy., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (6): 2478-2492 (2016)Mapping Woody Volume of Mediterranean Forests by Using SAR and Machine Learning: A Case Study in Central Italy., , , , , , , and . Remote. Sens., 13 (4): 809 (2021)Exploiting the Synergy Between Sentinel-1 and Cosmo Sky-Med Data for Snow Monitoring in Alpine Areas., , , , , , and . IGARSS, page 5738-5741. IEEE, (2019)An analysis of the capabilities of COSMO-SKYMED and RADARSAT systems for agricultural area monitoring., , , , , , , , and . IGARSS, page 4137-4140. IEEE, (2015)The Detection of Melting Snow and Analysis of Melting-Refreezing Cycles using Microwave Radiometry., , , , and . IGARSS, page 8496-8499. IEEE, (2018)