TITLE

Drought Risk Assessment in Western Inner-Mongolia

AUTHOR(S)
Lin, M. L.; Chu, Ch. M.; Tsai, B. W.
PUB. DATE
January 2011
SOURCE
International Journal of Environmental Research;Winter2011, Vol. 5 Issue 1, p139
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The objective of this study is to develop a novel methodology integrating remote sensing, geographic information system technology and local spatial autocorrelation geo-computation for quick drought assessment. One group of drought indices, based on the condition of the vegetation, includes the Normalized Difference Vegetation Index (NDV1), Anomaly of Normalized Difference Vegetation Index (NDVIA) and Standardized Vegetation Index (SVI). The other group, based on the moisture conditions, includes the Normalized Difference Moisture Index (NDMI) and Standardized Moisture Index (SMI). The local 0-statistic (Gi*) provides insight into the spatial relationships of the drought indices for drought risk assessment. Specifically, locations with significant 0i values indicate spatial clusters where there are differences between the vegetative and hydrological drought indices. The results of spatial co-occurrence analysis indicate the existence of hot spots where the thought indices are spatially stable. This spatial information can be used to identify high drought risk areas as a first step towards helping local administrators improve the allocation of local water resources in arid environments. Finally, the novel methodology, integrating remote sensing, geo- computation and geographic information techniques, is demonstrated. The results indicate its effectiveness for quick drought assessment.
ACCESSION #
59174289

 

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