Early-Season Crop Mapping on an Agricultural Area in Italy Using X-Band Dual-Polarization SAR Satellite Data and Convolutional Neural Networks
Early-season crop mapping provides decision-makers with timely information on crop types and conditions that are crucial for agricultural management.Current satellite-based mapping solutions mainly rely on optical imagery, albeit limited by weather conditions.Very few exploit long-time series of polarized synthetic aperture radar (SAR) Bottom Oven