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Journal of Applied Remote Sensing

Exploration of the spectral space based on vegetation index and albedo for surface drought estimation
Author(s): Abduwasit Ghulam; Zhaoliang Li; Qiming Qin; Qingxi Tong
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Paper Abstract

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 eco-systems. 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.

Paper Details

Date Published: 1 August 2007
PDF: 12 pages
J. Appl. Remote Sens. 1(1) 013529 doi: 10.1117/1.2784792
Published in: Journal of Applied Remote Sensing Volume 1, Issue 1
Show Author Affiliations
Abduwasit Ghulam, LSIIT (France)
Zhaoliang Li, Institute of Geographical Sciences and Natural Resources Research (China)
Qiming Qin, Peking Univ. (China)
Qingxi Tong, Peking Univ. (China)


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