[1]陈涛,陈守贵.基于RS和GIS的神府矿区水土流失分级研究[J].西北林学院学报,2011,26(06):164-168.
　CHEN Tao,CHEN Shou gui.Classification of Soil and Water Erosion in Shenfu Coal Area Based on Remote Sensing & GIS[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2011,26(06):164-168.
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基于RS和GIS的神府矿区水土流失分级研究
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第26卷
期数:
2011年06期
页码:
164-168
栏目:
森林经理学
出版日期:
2011-11-30

文章信息/Info

Title:
Classification of Soil and Water Erosion in Shenfu Coal Area Based on Remote Sensing & GIS
作者:
陈涛1; 2; 陈守贵1
1.胜利油田胜利勘察设计研究院有限公司 信息中心，山东 东营 257026；2.胜利油田博士后科研工作站，山东 东营 257026
Author(s):
CHEN Tao1; 2; CHEN Shougui1
1.Shengli Engineering & Consulting Co. Ltd，Dongying, Shandong 257026,China; 2.Shengli Oil Field PostDoctoral Research Center, Dongying, Shandong 257026, China
关键词:
水土流失; GIS;  RS; 模型
Keywords:
soil erosion; GIS;  RS;  model
分类号:
TP79;S157.1
文献标志码:
A
摘要:
针对常规水土流失监测方法的不足，将TM遥感影像与GIS相结合,探讨其在水土流失定量分级监测及评价中的应用, 提出了以更适合煤矿区实际情况的植被覆盖度、土地利用结构、坡度和矿山开发程度作为主导因子的数学模型。在各因子信息提取和分级定标的基础上，在ArcGIS下经量化编码、空间分析,得到土壤侵蚀强度分级数据。
Abstract:
In view of shortcomings of conventional methods in soil erosion monitoring, this paper combined TM remote sensing images and GIS to explore the quantitative remote sensing image classification and evaluation. Mathematical models were established, in which vegetation coverage, landuse structure, the degree of slope and mining were used as the dominant factors. Based on the information extraction and classification and calibration, the data on soil erosion intensity classification were obtained by the quantization coding under ArcGIS, and spatial analysis.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：20100901修回日期：20110503 作者简介：陈涛，男，博士，主要研究方向为地理信息系统与遥感。
更新日期/Last Update: 2011-12-31