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Evaluation of farmland quality with the integration of GIS and RS technology at village scale

文献类型: 外文期刊

作者: Gu, Xiaohe 1 ; Wang, Yanchang 1 ; Yang, Xiaodong 1 ; Chen, Yanling 2 ;

作者机构: 1.Beijing Res Ctr Informat Technol Agr, Beijing, Peoples R China

2.Henan Polytech Univ, Jiaozuo, Peoples R China

关键词: farmland quality;village scale;Delphi method;influencing factor

期刊名称:THIRD INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS 2014)

ISSN: 2334-3168

年卷期: 2014 年

页码:

收录情况: SCI

摘要: Mastering farmland quality is significant for achieving soil fertility management and promoting sustainable development of farmland resource. Evaluating the farmland quality is a complex problem, because many influencing factors are interrelated and interaction. The Yanba village in Chongqing city in China was chosen as study area. According to the existing index system of agricultural department, the study screened the critical influencing factors, including natural factors and social factors, which could be mapped by spatial analysis technology at village scale. The Delphi method was used to determine the weight of each influencing factors. Taking the farmland parcels as basic units, the comprehensive evaluation model for farmland quality at village scale was developed, through which the s farmland quality in the Yanba village was mapped and analyzed. By the method of density slice and threshold adjustment, the farmland quality in the study area was divided into four levels. Results showed that the spatial distribution of farmland with different quality levels derived from the developed model was consistent with the data of the agricultural department in the study area. This finding indicated that the comprehensive evaluation model with multi-source spatial information could effectively map the farmland with different quality levels at village scale.

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[2]Construction and Application of Evaluation Index System of Agricultural Scientific and Technological Progress under the Background of Modern Agriculture - An Empirical Research Based on Statistical Data of Ningbo City. JIANG Ming-lun,YU Min,LI Hong. 2014

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