Assessment of Rocky Desertification in Typical Karst Mountain Area of North Guangdong Province Based on RS

LI Hui-xia; LI Sen; ZHOU Hong-yi

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Assessment of Rocky Desertification in Typical Karst Mountain Area of North Guangdong Province Based on RS

- Assessment of Rocky Desertification in Typical Karst Mountain Area of North Guangdong Province Based on RS
- Bulletin of Soiland Water Conservation Vol. 30, Issue 6, Pages: 155-159(2011)
- 作者机构：
  
  1. 佛山科学技术学院资源环境系,广东,佛山,528000
  2. 中国科学院生态环境研究中心,北京,100085
- 作者简介：
- 基金信息：
- DOI：
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- Published：2011
- 稿件说明：
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LI Hui-xia, LI Sen, ZHOU Hong-yi. Assessment of Rocky Desertification in Typical Karst Mountain Area of North Guangdong Province Based on RS[J]. Bulletin of Soiland Water Conservation, 2011, 30(6): 155-159.
DOI：

LI Hui-xia, LI Sen, ZHOU Hong-yi. Assessment of Rocky Desertification in Typical Karst Mountain Area of North Guangdong Province Based on RS[J]. Bulletin of Soiland Water Conservation, 2011, 30(6): 155-159. DOI：

摘要

采用2004年冬季的TM遥感影像

结合遥感技术、GIS技术和主成分分析方法

构建了石漠化现状评价模型

并对粤北典型岩溶山区土地石漠化的发展程度进行了评价。评价结果表明

粤北典型岩溶山区石漠化程度依然严重

74.03%的石漠化土地面积被划分为中度以上石漠化等级

主要分布在阳山县中部和乳源县西北部。评价结果与野外调查情况基本吻合

表明采用遥感技术获取石漠化景观表征因子

在ArcGIS平台中运用主成分分析方法进行石漠化现状评价是可行的。

Abstract

The assessment model of rocky desertification was built using remote sensing technique

geographic information system technique and principal component analysis method

which was used to assess the present situation of rocky desertification in typical karst mountain area of North Guangdong Province based on TM images of 2004.The results showed that rocky desertification was still severe in study area

the area of most severe

severe and moderate grades of rocky desertification took up 74.03% of the total rocky desertification land

and these rocky desertificated lands mainly distributed in the middle part of Yangshan County and the north west part of Ruyuan County.The assessment results showed little difference with the data of field survey

which indicated that it was a feasible method to assess rocky desertification with the information of rocky desertification landscape extracting from RS images using principal component analysis method with ArcGIS software.

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