A dataset of land use/land cover fusion in Guangxi, China in 2000, 2010 and 2020

Abstract

This study is based on six major land use/land cover remote sensing data products that are widely used in China and the world, namely ESA Global Land Cover Product (ESAGC), ESRI Global 10-meter Land Use/Land Cover Data (ESRI-LULC), Tsinghua University high-resolution global land cover product (FROM-GLC), Wuhan University China Land Cover Dataset (CLCD), global 30-meter high-resolution system land cover product (GLC_FCS30) and GlobeLand30 (GLC30). By reclassifying multiple data products, we developed a multi-source data product fusion method based on consistency assessment, and compiled a new Guangxi region land use/land cover data product in 2020 with a correlation coefficient greater than 0.94 with local statistical yearbook data. The study further used three sets of long sequence data (CLCD, GLC_FCS30 and GLC30) to create three land use/land cover fusion data products in Guangxi in 2000, 2010 and 2020. This study provides a methodological basis for the application of regional land use/land cover data products. The fusion of data can better support related research on regional environmental protection, agricultural production planning, and urban development planning in Guangxi.