Grey Comprehensive Evaluation Model of Wheat Medium- and Low-yield Zoning via Remote Sensing Monitoring Data
文献类型： 外文期刊
作者： Guo Wei 1 ; Zhao Chunjiang 1 ; Huang Wenjiang 1 ; Gu Xiaohe 1 ; Liu Bin 3 ; Yang Xiaodong 1 ; Wang Huifang 1 ;
作者机构： 1.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
2.Beijing Forestry Univ, Coll Forestry, Beijing 100083, Peoples R China
3.Henan Agr Univ, Coll Informat & Management Sci, Zhengzhou 450002, Peoples R China
关键词： Grey Relational Analysis;Grey Clustering Algorithm;Medium-low yield farmland;GIS;RS
期刊名称：JOURNAL OF GREY SYSTEM （ 影响因子：1.912； 五年影响因子：1.576 ）
ISSN： 0957-3720
年卷期： 2012 年 24 卷 2 期
页码：
收录情况： SCI
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.
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