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Integration of Sentinel 1 and Sentinel 2 Satellite Images for Crop Mapping
2021
Applied Sciences
Crop identification is key to global food security. Due to the large scale of crop estimation, the science of remote sensing was able to do well in this field. The purpose of this study is to study the shortcomings and strengths of combined radar data and optical images to identify the type of crops in Tarom region (Iran). For this purpose, Sentinel 1 and Sentinel 2 images were used to create a map in the study area. The Sentinel 1 data came from Google Earth Engine's (GEE) Level-1 Ground Range
doi:10.3390/app112110104
doaj:9c889c0d2df44aba9df56ec1e45e9bc3
fatcat:mij7xh2iazbybcfbtxal6m3msq