Modeling spatiotemporal pattern of agriculture‐feasible land in China

This study applies a spatial fuzzy multi‐criteria evaluation model to determine agricultural feasibility in China based on physical variables (accumulated temperature, sunshine, precipitation, hydrology, elevation and soil properties). The resulting agricultural feasibility index layer is combined with nightlight images (1992‐2013) to determine the spatiotemporal variation of urban encroachment on feasible agriculture land. It reveals the severity of agricultural land losses to urbanization.