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Forest Biomass Estimate on Local and Global Scales Through GNSS Reflectometry Techniques., , , , , , and . IGARSS, page 8680-8683. IEEE, (2019)Monitoring of snow cover on Italian Alps using AMSR-E and Artificial Neural Networks., , , and . IGARSS, page 1572-1575. IEEE, (2012)Integration of multi-seasonal Landsat 8 and TerraSAR-X data for urban mapping: An assessment., , and . JURSE, page 1-4. IEEE, (2015)Deriving Wheat Crop Productivity Indicators Using Sentinel-1 Time Series., , , , , and . Remote. Sens., 12 (15): 2385 (2020)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)Neural Network Integration of SMAP and Sentinel-1 for Estimating Soil Moisture at High Spatial Resolution., , , and . IGARSS, page 6327-6330. IEEE, (2021)A low-cost embedded platform for car's surrounding vision system., , , and . Real-Time Image and Video Processing, volume 9139 of SPIE Proceedings, page 913908. SPIE, (2014)A Method for Estimating Agricultural Crop Biomass by Using Sar Images at X and C Bands., , , , , , , , and . IGARSS, page 4947-4950. IEEE, (2022)Application of Deep Learning to Optical and SAR Images for the Classification of Agricultural Areas in Italy., , , , , , and . IGARSS, page 4163-4166. IEEE, (2020)The potential of multi-temporal Cosmo-Skymed SAR images in monitoring soil and vegetation., , , , , , , and . IGARSS, page 1532-1535. IEEE, (2011)