Quantitative Comparative Analysis of Cropland Masks of Bryansk Oblast

A comparative quantitative analysis of cropland masks of Bryansk oblast was performed by the expert method, using the archive of remote sensing data from Google Earth. The first mask with a spatial resolution of 250 m per pixel was exported as part of the FAO GSNmap project. This mask is a product of the Land Cover global map provided by the Copernicus Global Land Service and is based on PROBA-V satellite images. The second mask was obtained from the Land Use/Land Cover (LULC) global map derived from Sentinel-2 satellite data. The mask was exported at a spatial resolution of 250 m per pixel. The overall accuracy of the FAO and LULC masks was calculated based on visual interpretation of 900 randomly selected land plots of Bryansk oblast. The accuracy was 88.11% for the FAO and 88.00% for the LULC mask, and the kappa indices were 0.68 for the FAO and 0.67 for the LULC mask. A comparative analysis of the FAO and LULC masks revealed a similarity of 81% between them. The performed research reflected a high reliability of the cropland masks of Bryansk oblast based on satellite data from PROBA-V and Sentinel-2.