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Comparison of Machine Learning Methods Applied to SAR Images for Forest Classification in Mediterranean Areas., , , , , and . Remote. Sens., 12 (3): 369 (2020)The Sensitivity of Cosmo-SkyMed Backscatter to Agricultural Crop Type and Vegetation Parameters., , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 7 (7): 2856-2868 (2014)Vegetation Water Content Retrieval by Means of Multifrequency Microwave Acquisitions From AMSR2., , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (9): 3861-3873 (2017)Robust assessment of an operational algorithm for the retrieval of soil moisture from AMSR-E data in central Italy., , , , and . IGARSS, page 1288-1291. IEEE, (2015)The Added Value of the VH/VV Polarization-Ratio for Global Soil Moisture Estimations From Scatterometer Data., , , , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (10): 3668-3679 (2018)Integration of radar and radiometric data from SMAP and Sentinel-1 sensors for soil moisture and vegetation monitoring (Conference Presentation)., , , and . SAR, volume 10003 of SPIE Proceedings, page 100030E. SPIE, (2016)Soil moisture retrieval at regional scale from AMSR2 data (Conference Presentation)., , , , and . SAR, volume 10003 of SPIE Proceedings, page 100030G. SPIE, (2016)Neural Network Integration of SMAP and Sentinel-1 for Estimating Soil Moisture at High Spatial Resolution., , , and . IGARSS, page 6327-6330. IEEE, (2021)Retrieval of Soil Moisture with Airborne and Satellite Microwave Sensors., , , , and . IGARSS (2), page 937-940. IEEE, (2009)A pre-operational algorithm fro the retrieval of snow depth and soil moisture from AMSR-E data., , , , , , and . IGARSS, page 3777-3780. IEEE, (2010)