干旱区生态环境知识资源中心(Arid): 黑河流域叶面积指数的遥感反演

Arid

	黑河流域叶面积指数的遥感反演
其他题名	Retrieval of Leaf Area Index for the Heihe River Watershed by Using Remote Sensing Data
	徐全芝; 张万昌; 刘三超; 赵登忠; 蒋建军
来源期刊	干旱区研究
ISSN	1001-4675
出版年	2003
卷号	20 期号:4 页码:281-285
中文摘要	以黑河流域为研究区，探寻基于TM影像提取的植被指数(VIs)与野外实测数据间叶面积指数（LAI）的反演研究。结果表明，各植被指数与LAI均具有较高的相关性，整个研究区土壤调整植被指数（SAVI）具有最高的LAI反演精度；把研究区分成绿洲区和山区，各种植被指数与LAI的相关系数和反演精度均有很大程度提高，同时得到绿洲区SAVI最适于反演LAI，山区SR最适于反演LAI，通过这种方式估算出黑河流域叶面积指数图。
英文摘要	Leaf area index ( LAI ) is a parameter of the vegetation structure, and is important for quantita-tively analyzing many physical and biological processes related to the dynamic change of vegetation and its effects on the change of the global environment and climate. In this paper, the LAI is estimated for the Heihe River watershed based on the correlations between the field-measured LAI andthe vegetation indexes with some envi-ronmental problems restricting the regional environment development in the watershed. After making the geo-metric, topographic and atmospheric corrections of a synchronous high-solution Landsat TM image, four vegeta-tion indexes ( NDVI, SAVI, SR and RSR ) are derived, and their separate correlations with LAI are investi-gated. According to the elevation, the study area is divided into the oasis area and the mountainous region, The analyzed results of the linear and nonlinear relationships between these vegetation indexes and LAI are as fol-lows: (1) The relationships between NDVI and SAW versus LAI are essentially linear, they do not occur to be a saturation point at high LAI . As for SR and RSR versus LAI, the exponential relationship occurs to be more appropriate than the linear relationships, and it will saturate at high LAI point. (2) SAVI shows the best for LAI retrieval in the whole study area, when the study area is divided into the oasis area and the mountainous re-gion, the correlations of these four Vis with LAI are evidently improved; in the oasis area, SAW has the high-est accuracy of LAI retrieval; whereas in the mountainous region, SR exhibits the best. And it also reveals that SR shows better for LAI retrieval than NDVI, RSR may be not suitable for LAI study in the Heihe River wa-tershed. (3) If there are enough field-measured data for LAI study in the arid and semi-arid regions with com-plicated terrain, such as the Heihe River watershed, it will show better results when the study area is divided in-to the mountainous region and the oasis area, By dividing the study area into two different areas, LAI mapping for the Heihe River watershed has been obtained, and the results have been applied for the hydrological and eco-logical studies in the area.
中文关键词	叶面积指数（LAI） ; 植被指数(VIs) ; 黑河流域
英文关键词	leaf area index (LAI) vegetation index (VIs) heihe river watershed
语种	中文
国家	中国
收录类别	CSCD
WOS类目	PLANT SCIENCES
WOS研究方向	Plant Sciences
CSCD记录号	CSCD:1199207
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/204062
作者单位	南京大学国际地球系统科学研究所, 南京, 江苏 210093, 中国
推荐引用方式 GB/T 7714	徐全芝,张万昌,刘三超,等. 黑河流域叶面积指数的遥感反演[J],2003,20(4):281-285.
APA	徐全芝,张万昌,刘三超,赵登忠,&蒋建军.(2003).黑河流域叶面积指数的遥感反演.干旱区研究,20(4),281-285.
MLA	徐全芝,et al."黑河流域叶面积指数的遥感反演".干旱区研究 20.4(2003):281-285.