GIS-based quality analysis on the cultivated land resources in poor areas of China
文献类型:会议论文
作者 | Liu, Ling(刘玲) ; Wang,Ying Jie ; Han,Jia Fu |
出版日期 | 2009 |
会议名称 | PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering |
会议日期 | July 11, 2009 - July 12, 2009 |
会议地点 | Zhangjiajie, China |
关键词 | Agricultural engineering Fertilizers Geographic information systems Geology Land use Mining Natural resources Remote sensing Soils Standardization Surface roughness |
英文摘要 | Cultivated land resource is a key factor that affects the development standard of a region. By analysis of land use and land cover data in 2000, together with national geographical data, soil fertility comprehensive quality assessment data (1980), a GIS-based research is carried out on the quality analysis of cultivated land resources in poor areas. Firstly, data mining methods are used to gather the inter-relationships between the poor areas' cultivated land resources and its geographical background factors. Secondly, comparative analysis between the poor areas and non-poor areas is conducted to reveal the difference. Results show that the big difference exists in the basic natural features of the cultivated land resources between poor and non-poor areas. Although the quantity of cultivated land resource in those poor areas is not less than that of non-poor areas, the quality is lowly evaluated because of its high elevation, steep slope and earth surface roughness. Finally, after overlay analysis, the natural quality of cultivated land resources in poor areas is assessed according to their topographical and soil fertility features. |
收录类别 | EI |
会议录 | Proceedings of SPIE - The International Society for Optical Engineering
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会议录出版者 | SPIE |
会议录出版地 | P.O. Box 10, Bellingham WA, WA 98227-0010, United States |
ISSN号 | 0277-786X |
ISBN号 | 9780819478023 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/27848] ![]() |
专题 | 地理科学与资源研究所_研究生部 |
推荐引用方式 GB/T 7714 | Liu, Ling,Wang,Ying Jie,Han,Jia Fu. GIS-based quality analysis on the cultivated land resources in poor areas of China[C]. 见:PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering. Zhangjiajie, China. July 11, 2009 - July 12, 2009. |
入库方式: OAI收割
来源:地理科学与资源研究所
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