| Quantitative Remote Sensing Study on Regional Soil Erosion —— Bin County of Heilongjiang as an Example |
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| 作者姓名： | XU Xia ;MIAO Chiyuan ;LIAO Yunfei |
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| 作者单位： | [1]Faculty of Geography Resources Sciences, Sichuan NormalUniversity, Chengdu 610066, Sichuan, China;; [2]Geography and Remote Sensing Academy, Beijing NormalUniversity, Beijing 100875, China;; [3]School of Environment and Natural Resources, RenminUniversity of China, Beijing 100872, China |
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| 基金项目： | Supported by the National Basic Research Program of China （973 Program）（2007CB407204） |
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| 摘 要： | Based on Chinese soil loss equation （CSLE） model, this paper utilized technical advantages of RS and geographic information system （GIS） on data access and erosion factors database building to study prediction methods of regional soil erosion. The spatial analysis module of ARCGIS platform was applied to study the spatial distribution of erosion and the inter-relations of the factors influencing regional soil erosion in the research area. As a result, the mean soil erosion modulus of Bin County is 3 555.42 t/（km^2.a）, which suggests moderate degree erosion. The mean soil erosion modulus of clayey meadow soil is higher than those of dark brown soil and black soil. Vegetation factor values are between 0.1-0.2. The mean slope gradient and slope length values are respectively 1.335 and 6.061 which shows slope length is a dominant factor. And soil type, vegetation coverage and topographic factors have remarkable relevance to each other. Therefore, RS, GIS and CSLE are applicable in regional scale to disclose spatial distribution characteristics of soil erosion and to analyze the characteristics of dominant soil erosion factor quantitatively.
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| 关 键 词： | 土壤流失 GIS 空间分析 土壤侵蚀 |
| 收稿时间： | 12 July 2010 |
Quantitative remote sensing study on regional soil erosion |
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| XU Xia,;MIAO Chiyuan,;LIAO Yunfei.Quantitative remote sensing study on regional soil erosion[J].Wuhan University Journal of Natural Sciences,2008,13(3):377-384. |
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| Authors: | Xia Xu Chiyuan Miao Yunfei Liao |
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| Institution: | [1]Faculty of Geography Resources Sciences, Sichuan NormalUniversity, Chengdu 610066, Sichuan, China; [2]Geography and Remote Sensing Academy, Beijing NormalUniversity, Beijing 100875, China; [3]School of Environment and Natural Resources, RenminUniversity of China, Beijing 100872, China |
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| Abstract: | Based on Chinese soil loss equation (CSLE) model, this paper utilized technical advantages of RS and geographic information
system (GIS) on data access and erosion factors database building to study prediction methods of regional soil erosion. The
spatial analysis module of ARCGIS platform was applied to study the spatial distribution of erosion and the inter-relations
of the factors influencing regional soil erosion in the research area. As a result, the mean soil erosion modulus of Bin County
is 3 555.42 t/(km2·a), which suggests moderate degree erosion. The mean soil erosion modulus of clayey meadow soil is higher than those of dark
brown soil and black soil. Vegetation factor values are between 0.1–0.2. The mean slope gradient and slope length values are
respectively 1.335 and 6.061 which shows slope length is a dominant factor. And soil type, vegetation coverage and topographic
factors have remarkable relevance to each other. Therefore, RS, GIS and CSLE are applicable in regional scale to disclose
spatial distribution characteristics of soil erosion and to analyze the characteristics of dominant soil erosion factor quantitatively. |
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| Keywords: | regional soil erosion geographic information system （GIS） spatial analysis Chinese soil loss equation |
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