期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B7
页码：1043-1046
出版社：Copernicus Publications
摘要：High spatial resolution remote sensing data are expensive and hard to cover the whole basin at the same time in Tarim river basin, while, the low spatial resolution data, such as MODIS, which spatial resolution of first (red) and second (infrared) band are 250 m, may cover the whole basin in same day. In this paper, based on previous models and methods, we compared the remote sensing Vegetation index, NDVI, RVI and MSAVI (250m), which are thought most efficiently parameters and have been used widespread in arid and semiarid area. Analyzing changing rule of soil, sparse natural and farm field of underlying surface, we put forward a new method: calculating stand deviation using time series MODIS RVI data from April to October. Compared with extracting farm information method of previous classification method and principle component analysis method using time series MODIS data, the method is more efficient than others, and the accuracy exceed 80%, which verified by Landsat TM data and actual measurement by GPS
关键词：Tarim River Basin; MODIS Vegetation Index; Time Series; Farm Field
