Research Papers

Exploration of the spectral space based on vegetation index and albedo for surface drought estimation

[+] Author Affiliations
Abduwasit Ghulam

Center for Environmental Sciences

Zhao-Liang Li

Laboratoire des Sciences de l'Image, de l'Informatique et de la Te´le´de´tection, LSIIT (UMR7005)

Qiming Qin, Qingxi Tong

Institute of Remote Sensing and GIS

J. Appl. Remote Sens. 1(1), 013529 (August 24, 2007). doi:10.1117/1.2784792
History: Received March 14, 2007; Revised August 16, 2007; Accepted August 23, 2007; August 24, 2007; Online August 24, 2007
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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.

© 2007 Society of Photo-Optical Instrumentation Engineers

Citation

Abduwasit Ghulam ; Zhao-Liang Li ; Qiming Qin and Qingxi Tong
"Exploration of the spectral space based on vegetation index and albedo for surface drought estimation", J. Appl. Remote Sens. 1(1), 013529 (August 24, 2007). ; http://dx.doi.org/10.1117/1.2784792


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