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：2010
卷号：XXXVIII - Part 8
页码：201-202
出版社：Copernicus Publications
摘要：Terrestrial vegetation responses to regional and global climate change in long-term interactions between the vegetation and the environmental and climatic conditions, as well as in short-term interactions driven by insufficient water supply from either precipitation or from surface/ground water for a certain period. Abnormal vegetation development is reflected by anomalies in spectral properties that can be observed by satellite sensors. Particularly in data-scarce environments, observations by satellite sensors have the advantage of covering large areas and having high revisit frequency. Both vegetation index and land surface temperature (LS T) have been used for long time as powerful variables to study land surface properties in many research and application fields. In this paper, multi-spectral radiometric data (associated with land surface variables of vegetation index and land surface temperature) from MODIS are used to detect anomalies of vegetation growth both in short-term period as consequence of different drought severities over different land cover types and in longer-term (about 10 years) in relation to climate change. The study was carried out in the Tibetan-P lateau and its east low elevation basin between 2000 and 2009. The region covers various land cover type and climatic conditions from lower elevation area dominated mainly by various agricultural crops under temperate climate to grassland, shrubs in high elevation areas with arid/semi arid and cold climate, and forest in high elevation area with semi-humidity climate. The land cover types were identified using the ESA GlobCover derived from MERIS fine resolution (300 m) mode data acquired between mid 2005 and mid 2006
