Grey Comprehensive Evaluation Model of Wheat Medium- and Low-yield Zoning via Remote Sensing Monitoring Data

摘要

According to the actual production of wheat in Beijing area, together with the use of Remote Sensing (RS), Geographic Information Systems (GIS), Grey relational analysis (GRA) and Grey Clustering Algorithm (GCA), the wheat medium- and low-yield in Beijing area as well as its barrier factors are identified. First, three-year wheat yield of Beijing and weather, terrain and soil conditions are analyzed based on GRA. Then, the zoning indexes of Beijing wheat yield potential are selected, involving four climatic factors, six soil factors and two terrain factors, and their weights are determined. Finally, the spatial interpolation technique is utilized to construct the wheat multi-factor space matrix, and GCA is adopted to establish the wheat medium- and low-yield zoning assessment model. In addition, the effective combination of GCA and GIS spatial analysis is found to be both objective and accurate in scientifically evaluating the wheat medium- and low- yield areas in Beijing.