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Machine Learning Applications for Classification and Retrieval of Surface Parameters from GNSS-R.

, , , , , , , and . IGARSS, page 1174-1177. IEEE, (2023)

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Surface roughness characterization for SAR applications., , , , and . IGARSS, page 1408-1410. IEEE, (2003)Ionospheric effects for L-band 2-D interferometric radiometry., , , and . IEEE Trans. Geosci. Remote. Sens., 42 (1): 105-118 (2004)On the use of rigorous microwave interaction models to support remote sensing of natural surfaces., , , , , , , and . IGARSS, page 2195-2198. IEEE, (2005)Grass: AN experiment on the capability of airborne GNSS-R sensors in sensing soil moisture and vegetation biomass., , , , , , , , , and . IGARSS, page 2110-2113. IEEE, (2013)GNSS reflections from bare and vegetated soils: Experimental validation of an end-to-end simulator., , , , , and . IGARSS, page 4371-4374. IEEE, (2011)Global Navigation Satellite Systems Reflectometry as a Remote Sensing Tool for Agriculture., , , , , , , and . Remote. Sens., 4 (8): 2356-2372 (2012)X-Ray Tomography-Based Microstructure Representation in the Snow Microwave Radiative Transfer Model., , , , , , , , , and 2 other author(s). IEEE Trans. Geosci. Remote. Sens., (2022)Combining Cygnss and Machine Learning for Soil Moisture and Forest Biomass Retrieval in View of the ESA Scout Hydrognss Mission., , , , , , and . IGARSS, page 7433-7436. IEEE, (2022)GNSS Reflectometry as a tool to retrieve soil moisture and vegetation biomass: Experimental and theoretical activities., , , , , , and . ICL-GNSS, page 1-5. IEEE, (2013)The PARIS in-orbit Demonstrator., , , , and . IGARSS (2), page 322-325. IEEE, (2009)