[1]刘广峰,吴波,范文义,等.基于像元二分模型的沙漠化地区植被覆盖度提取——以毛乌素沙地为例[J].水土保持研究,2007,14(02):268-271.
　LIU Guang-feng,WU Bo,FAN Wen-yi,et al.Extraction of Vegetation Coverage in Desertification Regions Based on the Dimidiate Pixel Model——A Case Study in Maowusu Sandland[J].Research of Soil and Water Conservation,2007,14(02):268-271.
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基于像元二分模型的沙漠化地区植被覆盖度提取——以毛乌素沙地为例

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 14 期数: 2007年02期 页码: 268-271 栏目: 出版日期: 1900-01-01
Title:
Extraction of Vegetation Coverage in Desertification Regions Based on the Dimidiate Pixel Model——A Case Study in Maowusu Sandland
作者:
刘广峰1, 吴波2, 范文义1, 李晓松3, 范楠楠1
1. 东北林业大学林学院, 哈尔滨, 150040;
2. 中国林业科学研究院林业研究所, 国家林业局林木培育重点实验室, 北京, 100091;
3. 中国林业科学研究院资源信息研究所, 北京, 100091
Author(s):
LIU Guang-feng1, WU Bo2, FAN Wen-yi1, LI Xiao-song3, FAN Nan-nan1
1. College of Forest, Northeast Forest University, Harbin 150040, China;
2. Research Institute of Forestry, CAF, Key Laboratory of Tree Breeding and Cultivation, Sate Forestry Administration, Beijing 100091, China;
3. Research Institute of Forest Resource Information, CAF, Beijing 100091, China
关键词:
像元二分模型; 植被覆盖度; 植被指数(NDVI); 毛乌素沙地
Keywords:
dimidiate pixel model; vegetation coverage; NDVI; Maowusu sandland
分类号:
X171.1
摘要:
以ETM+为数据源，基于植被指数（NDVI）建立像元二分模型，对毛乌素沙地进行了植被覆盖度提取，然后根据实地调查数据对提取结果进行了精度验证，二者线性相关系数达到了0.92，平均精度为79.4%。研究结果表明，基于NDVI的像元二分模型适合于沙漠化地区的植被覆盖度提取。
Abstract:
With the ETM+ as data source, the Dimidiate pixel model was established based on vegetation index (NDVI) to extract vegetation coverage in Maowusu sandland. Precision validation of the extraction results was conducted by employing field survey data, the correlation coefficient between field survey data and extracted values from the vegetation coverage imagery was 0.92, and the mean precision was 79.4%. The results show that the dimidiate pixel model based on NDVI can be used in the extraction of vegetation coverage in desertified region.

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备注/Memo

收稿日期:2006-10-17
基金项目:国家自然科学基金项目（30571528）；国家“十五”科技攻关项目（2005BA517A07）；科技部国际科技合作重点项目（2003DFB00009）
作者简介:刘广峰（1981- ），男，内蒙古赤峰市人，在读硕士，主要从事遥感应用研究。

更新日期/Last Update: 1900-01-01