沙化土地信息提取研究  

Information Extraction of Sandy Land

作　　者：王晓慧[1] 李增元[1] 高志海[1] 白黎娜[1] 车学俭[1] 王琫瑜[1] 

机构地区：[1]中国林业科学研究院资源信息研究所,北京100091

出　　处：《林业科学》2005年第3期82-87,共6页Scientia Silvae Sinicae

基　　金：国家"十五"科技攻关项目"防沙治沙综合技术体系研究"( 2 0 0 2BA5 1 7A0 9);中国林科院科学技术发展基金项目"沙化土地变化检测与趋势分析

摘　　要：采用LandsatETM +多时相影像,在地类光谱特征分析的基础上,用分层分离的方法,提取出沙化土地信息。以全国沙漠化普查地类划分标准中的植被覆盖度为确定沙化土地程度的依据,通过建立NDVI和实测植被覆盖度的回归模型,确定不同程度沙化土地对应的植被覆盖度与NDVI的对应关系,用NDVI阈值进行划分,得到沙化土地程度图。Multi_layer remote sensing information extraction of sandy land using multi_temporal Landsat ETM+ images was developed based on spectral characteristic analysis. Vegetation coverage was used to determine the degree of sandy land according to the land classification standard of the national desertification survey. By regression model of NDVI and vegetation coverage, the relationship was established. The degree of sandy land was divided by the threshold of NDVI, and the degree map of sandy land was derived.

关 键 词：多时相影像 分层分离 沙化土地程度 植被覆盖度 NDVI 

分 类 号：S127[农业科学—农业基础科学] X171.1[环境科学与工程—环境科学]