干旱区生态环境知识资源中心(Arid): 基于光谱混合分析的干旱荒漠区植被遥感信息提取研究以古尔班通古特沙漠西缘为例

Arid

	基于光谱混合分析的干旱荒漠区植被遥感信息提取研究以古尔班通古特沙漠西缘为例
其他题名	Extraction of Vegetation Information in Arid Desert Area based on Spectral Mixture Analysisa Case in the Western Gurbantunggut Desert
	崔耀平 1; 王让会 2; 刘彤 3; 张惠芝 2
来源期刊	中国沙漠
ISSN	1000-694X
出版年	2010
卷号	30 期号:2 页码:334-341
中文摘要	干旱荒漠区植被的盖度和空间分布特征是评判该区生态环境状况及荒漠化程度的重要指标.以Landsat TM影像为数据源,利用归一化植被指数(NDVI)和线性光谱混合分析模型(LSMM)两种方法对研究区--古尔班通古特沙漠西缘进行分析.在运用LSMM过程中,通过多种方法选择出最佳端元,并利用实测数据对混合像元分解结果进行验证.结果表明:①NDVI提取植被的方法受到很多限制,不适合在干旱荒漠区应用;②基于最小法非受限光谱混合分解结果较为理想,植被、盐碱地、裸沙和黑色砂粒等4种端元地物被选取出来;③LSMM提取的植被分量与实测植被盖度显著相关,线性相关系数为0.858,表明干旱荒漠区的植被盖度可以通过遥感影像提取的植被分量间接得到.
英文摘要	The coverage and spatial distribution of vegetation is a fundamental index to estimate the ecological environment and desertification in arid desert area. Comparison among deserts in the same latitude region, Gurbantunggut Desert is the unique which teems with lots of plant species, although the distribution of vegetation is more sparse than that of some typical desert steppe. In this paper, vegetation coverage of the western Gurbantunggut Desert was selected as the target indicator, which was extracted using normalized difference vegetation index (NDVI) and linear spectral mixture model (LSMM), based on Landsat TM images. In order to get better result, we chose the best endmember in the LSMM process through different methods, and utilized the measured vegetation coverage data to validate the vegetation fraction that came from remote sensing images. The results showed that: the NDVI method was subjected to many restrictions, and wasn’t suitable for application in the arid desert area. While, the LSMM showed a better result, thus vegetation, alkaline soil, bare sand and dark sand had been successfully selected for further analyses. A significant linear relationship also was found between vegetation fraction and vegetation coverage, with a correlation coefficient of 0.858. All those reflected that vegetation coverage in the arid desert area can be extracted indirectly through remote sensing images.
中文关键词	光谱混合分析 ; 端元 ; 干旱荒漠区 ; 古尔班通古特沙漠
英文关键词	NDVI spectral mixture analysis endmember arid desert area normalized vegetation index Gurbantunggut Desert
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:3843034
来源机构	中国科学院新疆生态与地理研究所 ; 石河子大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/225971
作者单位	1.中国科学院,新疆生态与地理研究所, 乌鲁木齐, 新疆 830011, 中国; 2.中国科学院新疆生态与地理研究所, 乌鲁木齐, 新疆 830011, 中国; 3.石河子大学生命科学学院, 石河子, 新疆 832003, 中国
推荐引用方式 GB/T 7714	崔耀平,王让会,刘彤,等. 基于光谱混合分析的干旱荒漠区植被遥感信息提取研究以古尔班通古特沙漠西缘为例[J]. 中国科学院新疆生态与地理研究所, 石河子大学,2010,30(2):334-341.
APA	崔耀平,王让会,刘彤,&张惠芝.(2010).基于光谱混合分析的干旱荒漠区植被遥感信息提取研究以古尔班通古特沙漠西缘为例.中国沙漠,30(2),334-341.
MLA	崔耀平,et al."基于光谱混合分析的干旱荒漠区植被遥感信息提取研究以古尔班通古特沙漠西缘为例".中国沙漠 30.2(2010):334-341.