Early-season crop mapping on an agricultural area in italy using x-band dual-polarization sar satellite data and convolutional neural networks

HIGHLIGHTS

  • who: SAR and collaborators from the (UNIVERSITY) have published the research: Early-Season Crop Mapping on an Agricultural Area in Italy Using X-band Dual-Polarization SAR Satellite Data and Convolutional Neural Networks, in the Journal: (JOURNAL)
  • what: The aim of ESM is therefore to provide public and private decision makers of timely information on crop type and conditions that revealed to be crucial for agricultural management in the context of programs for rural areas and resource management on a regional and global scale , . This study evaluates the performance of CNN applied to in-season . . .

     

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