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Modeling the Spatiotemporal Distribution of Agricultural-Feasible Land in China
This study applies a GIS-based spatial fuzzy multi-criteria evaluation model to determine agricultural feasibility in China based on physical variables such as accumulated temperature, sunshine, precipitation, hydrology, elevation and soil properties. The resulting agricultural feasibility index layer is then overlaid with nightlight images from 1992 to 2013, which are considered as a proxy to urban land use, to determine the spatiotemporal variation of urban encroachment on feasible agriculture land. The result reveals the severeness of agricultural land loses to urbanization, especially in the most recent decade.