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	Exploration of the spectral space based on vegetation index and albedo for surface drought estimation
	Ghulam A. ; Li Z. L. ; Qin Q. M. ; Tong Q. X.
	2007
关键词	Vegetation condition albedo drought index (VCADI) surface moisture spectral feature space drought estimation soil-water content land-cover moisture status satellite data temperature ndvi sahel
英文摘要	In this paper, a simple surface dryness index (Vegetation Condition Albedo Drought Index, VCADI) based on the spectral patterns of surface moisture in two dimensional spectral space of vegetation index versus broadband albedo is suggested. VCADI derived from multi-sources remote sensing data including the Thematic Mapper (TM), the Enhanced Thematic Mapper Plus (ETM+) and the MODerate Resolution Imaging Spectroradiometer (MODIS) images are significantly related to field measured soil moisture over different ecosystems. Spatio-temporal patterns of VCADI are further analyzed using time series of MODIS data over Ningxia Huizu Autonomous Region of China. Results indicate that VCADI variations are accordant with regional rainfall dynamics and the index has a potential in drought estimation as a simple satellite derived method completely independent of surface ancillary data.
出处	Journal of Applied Remote Sensing
卷	1
收录类别	SCI
语种	英语
ISSN号	1931-3195
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/23940]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Ghulam A.,Li Z. L.,Qin Q. M.,et al. Exploration of the spectral space based on vegetation index and albedo for surface drought estimation. 2007.

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