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极端干旱区稀疏荒漠植被信息遥感探测研究
引用本文:刘桂林,张落成,李广宇,刘剑,杨洪振.极端干旱区稀疏荒漠植被信息遥感探测研究[J].干旱区资源与环境,2013(4):37-40.
作者姓名:刘桂林  张落成  李广宇  刘剑  杨洪振
作者单位:中国科学院南京地理与湖泊研究所;中国科学院研究生院;宁阳县农业局
基金项目:国家自然科学基金项目(40971072);国家海洋公益专项(201005009-13)资助
摘    要:基于Landsat 5 TM遥感影像,以塔里木河下游断流区的荒漠河岸林为例,选取植被指数随植被覆盖度增加的反映速率、植被指数的取值范围变化、植被与背景信息的区分度三个指标,对NDVI、SAVI、MSAVI、GEMI、EVI 5种植被指数探测低覆盖度植被信息的能力进行对比分析。研究表明:根据三个指标的综合分析,GEMI指数是塔里木河下游断流区探测低覆盖度植被信息的最佳植被指数。

关 键 词:极端干旱区  稀疏荒漠植被  遥感  探测

Sparse desert vegetation extraction in extreme arid region based on remote sensing imagery
LIU Guilin,ZHANG Luocheng,LI Guanyu,LIU Jian,YANG Hongzhen.Sparse desert vegetation extraction in extreme arid region based on remote sensing imagery[J].Journal of Arid Land Resources and Environment,2013(4):37-40.
Authors:LIU Guilin  ZHANG Luocheng  LI Guanyu  LIU Jian  YANG Hongzhen
Institution:1.Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,Nanjing,Jiangsu 210008;2.Graduate University of Chinese Academy of Sciences,Beijing 100049;3.Ningyang County Agricultural Bureau,Ningyang,Shandong 271400,P.R.China)
Abstract:Taking desert riparian forest in the lower reaches of Tarim River as an example,five vegetation indices such as NDVI,SAVI,MSAVI,GEMI,and EVI were used to compare and analyze the ability of detecting low vegetation cover based on Landsat 5 TM imagery using three indicators such as change rate and the range of vegetation index,division degree.The results showed that GEMI is the best vegetation index to detect low coverage of vegetation information in the lower reaches of Tarim River according to the comprehensive analysis of the three indicators.
Keywords:extreme arid region  sparse desert vegetation  remote sensing  detection
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