Modeling Spatiotemporal Pattern of Agricultural-Feasible Land in China
Track: Research & Sciences
Authors: Fei Carnes
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 severeness of agricultural land loses to urbanization.