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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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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)Crop Classification and Biomass Estimate Using Cosmo-Skymed and Sentinel-1 Data in an Agricultural Test Area in Central Italy., , , , , , , , , and 1 other author(s). IGARSS, page 5933-5936. IEEE, (2021)Multi-Frequency SAR Images for Investigations of the Cryosphere: Preliminary Results of Criosar Project., , , , , , , , , and 16 other author(s). IGARSS, page 1585-1588. IEEE, (2023)GNSS-R sensor sensitivity to soil moisture and vegetation biomass and comparison with SAR data performance., , , , , , , , , and . SAR, volume 8891 of SPIE Proceedings, page 88910I. SPIE, (2013)Neural network adaptive algorithm applied to high resolution C-band SAR images for soil moisture retrieval in bare and vegetated areas., , , , , , and . SAR, volume 7829 of SPIE Proceedings, page 78290F. SPIE, (2010)Cosmo-SkyMed and RADARSAT2 image investigation for the monitoring of agricultural areas., , , , , , , , and . SAR, volume 9642 of SPIE Proceedings, page 964206. SPIE, (2015)Large area robust identification of snow cover from multitemporal COSMO-SkyMed images., , , , , , and . SAR, volume 9642 of SPIE Proceedings, page 964204. SPIE, (2015)Exploiting the Synergy Between Sentinel-1 and Cosmo Sky-Med Data for Snow Monitoring in Alpine Areas., , , , , , and . IGARSS, page 5738-5741. IEEE, (2019)Comparison of Cosmo-SkyMed and TerraSAR-X data for the retrieval of land hydrological parameters., , , , , , and . IGARSS, page 5510-5513. IEEE, (2012)Investigation of alpine snow features using COSMO-SkyMed images., , , and . IGARSS, page 4254-4257. IEEE, (2017)