Scholarlink

Abstract <p>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 <i>PROBA-V</i> satellite images. The second mask was obtained from the Land Use/Land Cover (LULC) global map derived from <i>Sentinel-2</i> 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&#xa0;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 <i>PROBA-V</i> and <i>Sentinel-2</i>.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Quantitative Comparative Analysis of Cropland Masks of Bryansk Oblast

  • 期刊论文

  • 发表日期：

    2025年12月25日

查看全文
  • L. Yu. Konoplina,
  • J. L. Meshalkina,
  • V. P. Samsonova,
  • O. M. Golozubov

摘要

Abstract

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.