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An analysis of the capabilities of COSMO-SKYMED and RADARSAT systems for agricultural area monitoring.

, , , , , , , , and . IGARSS, page 4137-4140. IEEE, (2015)

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A Machine Learning-Based Approach for Surface Soil Moisture Estimations with Google Earth Engine., , and . Remote. Sens., 13 (11): 2099 (2021)Potential of Sentinel-1 for high-resolution soil moisture monitoring., , , , and . IGARSS, page 4030-4033. IEEE, (2013)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)The use of COSMO-SkyMed images for retrieving snow depth and soil moisture in mountainous areas., , , , , , and . IGARSS, page 3654-3657. IEEE, (2014)A novel approach to improve spatial detail in modeled soil moisture through the integration of remote sensing data., , , , and . IGARSS, page 1988-1991. IEEE, (2015)COSMO-SkyMed and radarsat image integration for soil moisture and vegetation biomass monitoring., , , , , and . IGARSS, page 5237-5240. IEEE, (2017)Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at Plot Scale., , , and . Remote Sensing, 10 (8): 1285 (2018)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)Ecosystem Services in a Protected Mountain Range of Portugal: Satellite-Based Products for State and Trend Analysis., , , , , , and . Remote Sensing, 10 (10): 1573 (2018)Estimating Soil Moisture from C and X Band Sar Using Machine Learning Algorithms and Compact Polarimetry., , , , , , , and . IGARSS, page 1426-1429. IEEE, (2018)