*2.2. Data Sources*

This study used the LULC datasets from the 1995−2015 provided by the Data Center for Resources and Environmental Sciences of the Chinese Academy of Sciences (http: //www.resdc.cn/, accessed on 15 December 2021). Using Landsat TM/ETM remote sensing images as the data source, the raster data onto national land use types of 1995, 2000, 2005, 2010 and 2015 with 1 km spatial resolution were generated by human–machine interactive interpretation. This paper adopted the LULC classification system and Xie Gaodi's [63] method of classifying terrestrial ecosystem in China, combines the land use characteristics of Hubei province, and divides the land use types into seven categories: cropland, forest land, grassland, water, wetland, bare land and built-up land, then adjusts and consolidates the secondary classification. The crop production, sown area and crop price data required for the study were obtained from the Hubei Statistical Yearbook 2016, the National Agricultural Product Price Survey Yearbook 2016, and the National Compilation of Information on Costs and Returns of Agricultural Products 2016.
