Method of Monitoring Soil Erosion Dynamic Based on Remote Sensing and GIS

ZHAO Xiaoli; ZHANG Zengxiang; LIU Bin; WANG Changyou

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Method of Monitoring Soil Erosion Dynamic Based on Remote Sensing and GIS

- Method of Monitoring Soil Erosion Dynamic Based on Remote Sensing and GIS
- Bulletin of Soiland Water Conservation Vol. 21, Issue 4, Pages: 29-32(2002)
- 作者机构：
  
  中国科学院遥感应用研究所,北京,100101
- 作者简介：
- 基金信息：
- DOI：
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- Published：2002
- 稿件说明：
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ZHAO Xiaoli, ZHANG Zengxiang, LIU Bin, et al. Method of Monitoring Soil Erosion Dynamic Based on Remote Sensing and GIS[J]. Bulletin of Soiland Water Conservation, 2002, 21(4): 29-32.
DOI：

ZHAO Xiaoli, ZHANG Zengxiang, LIU Bin, et al. Method of Monitoring Soil Erosion Dynamic Based on Remote Sensing and GIS[J]. Bulletin of Soiland Water Conservation, 2002, 21(4): 29-32. DOI：

摘要

土壤侵蚀动态监测是水土保持管理工作的主要内容之一。本文阐述了在遥感和 GIS技术支持下采用人机交互判读分析进行全国土壤侵蚀动态监测的方法和工作程序。在全国第 2次土壤侵蚀遥感调查分类系统不变的基础上

通过两期遥感信息的比较、人机交互解译土壤侵蚀动态图斑、矢量图编辑、面积汇总的全数字方式

完成 1995— 2 0 0 0年 1∶ 10万比例尺的全国土壤侵蚀动态遥感监测与数据库更新。

Abstract

Dynamic monitoring soil erosion is one of important task in soil and water conservation management. The method and work proceedings of dynamic monitoring soil erosion are expounded supported by remote sensing and GIS through visual interpretation at scale of nation. Based on unchanged classification of second national soil erosion remote sensing investigation

the remote sensing monitor is carried out for national soil erosion at scale 1∶100 000 from 1995 to 2000 and updated its database by comparing two different time images

employing the digital processing technique of remote sensing data

man computer interactive interpretation

vector map editing and area count.

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references

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中华人民共和国水利部.土壤侵蚀分类分级标准(SL 190-96)[Z].1997-02-13发布,1997-05-01实施.

应用遥感技术调查全国土壤侵蚀现状与编制全国土壤侵蚀图技术工作细则[Z].水利部遥感中心,1986.

史德明.应用遥感技术监测土壤侵蚀动态的研究[J].土壤学报,1996(1):48-57.

赵晓丽,张增祥,王长有,等.基于遥感和GIS的西藏中部地区土壤侵蚀动态监测[J].水土保持学报,1999(2):44-50.

赵羽,等.内蒙古土壤侵蚀研究--遥感技术在内蒙古土壤侵蚀研究中的应用[M].北京:科学出版社,1989.

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Related Institution

The Institute of Botany, Chinese Academy of Sciences

Institute of RS & GIS, Chengdu University of Science and Technology

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