干旱区生态环境知识资源中心(Arid): 极端干旱区荒漠稀疏河岸林遥感分类研究

Arid

	极端干旱区荒漠稀疏河岸林遥感分类研究
其他题名	Classification of Sparse Desert Riparian Forest in Extreme Arid Region
	古丽·加帕尔; 陈曦; 马忠国; 常存
ISSN	1000-694X
出版年	2009
卷号	29 期号:6 页码:1153-1161
中文摘要	研究以位于极端干旱区的塔里木河干流中下游地区为例,基于Landsat TM影像,结合决策树分类、几何光学模型与光谱角匹配,解决混合像元信息分解,实现干旱区稀疏荒漠河岸林类别识别.首先从遥感视角的角度,将地物分解为目标和背景,提出塔里木河干流荒漠河岸林植被分类系统;其次以多变量决策树法将非荒漠植被信息剔除,采用几何光学模型模拟各类荒漠植被的像元光谱,最后以光谱角匹配的方法将荒漠植被进一步进行分解,得到塔里木河干流中下游地区典型研究区的植被分类专题图,分类精度结果表明:基于混合像元分解与几何光学模型的分类方法总精度达到了79.43%,Kappa系数为0.718,表明分类质量良好.
英文摘要	Taking the desert riparian forest belts along both riversides of the middle and lower reaches at the Tarim River Basin as the research object and making use of Landsat TM data, a new classify method of combining decision tree, Geometric Optical models and Spectral Angle Mapper is introduced to identify the desert riparian forest sort in extreme arid region. Firstly, a new classification system of desert riparian forest was brought forward, dividing the target into object and background from view of remote sensing. Secondly, the non-desert vegetation information was masked off by using the method of decision tree;the spectrum of the desert riparian forest pixels were simulated with the pure Geometric Optical and Geometric Optical-Radiative Transfer model, then to map the vegetation of the study area using Spectral Angle Mapper based on the pixel spectrum simulated. The results indicate that the quality of classification is good, with the accuracy coefficient to 79.43% and the Kappa coefficient to 0.718.
中文关键词	极端干旱区 ; 荒漠稀疏河岸林 ; 决策树 ; 几何光学模型 ; 光谱角填图
英文关键词	extreme arid region sparse desert riparian forest decision tree Geometric Optical model Spectral Angle Mapper
语种	中文
国家	中国
收录类别	CSCD
WOS类目	ENVIRONMENTAL SCIENCES
WOS研究方向	Environmental Sciences & Ecology
CSCD记录号	CSCD:3785874
来源机构	中国科学院新疆生态与地理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/224598
作者单位	中国科学院,新疆生态与地理研究所, 乌鲁木齐, 新疆 830011, 中国
推荐引用方式 GB/T 7714	古丽·加帕尔,陈曦,马忠国,等. 极端干旱区荒漠稀疏河岸林遥感分类研究[J]. 中国科学院新疆生态与地理研究所,2009,29(6):1153-1161.
APA	古丽·加帕尔,陈曦,马忠国,&常存.(2009).极端干旱区荒漠稀疏河岸林遥感分类研究.,29(6),1153-1161.
MLA	古丽·加帕尔,et al."极端干旱区荒漠稀疏河岸林遥感分类研究".29.6(2009):1153-1161.