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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Meng-Lung Lin Chien-Min Chu Cheng-Wu Chen Yu Cao Jyh-yi Shih Yung-Tan Lee Lih-Der Ho |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Land Resource Manage., Zhejiang Univ., Hangzhou (Yu Cao) || Dept. of Tourism, Aletheia Univ., Taipei (Meng-Lung Lin; Jyh-yi Shih; Yung-Tan Lee) || Dept. of Logistics Manage., Shu-Te Univ., Kaohsiung (Cheng-Wu Chen) || Dept. of Geogr., Nat. Taiwan Univ., Taipei (Chien-Min Chu; Lih-Der Ho) |
| Abstract | Drought risk assessment is an important issue of environmental monitoring and assessment in arid environments. Using remote sensing and GIS techniques, this study quantified cumulative vegetative and hydrological drought risks in Ejin Oasis, western China. Analyses of spatial distributions in drought are often influenced by spatial autocorrelation. The use of the Getis statistic (Gi*) provides insights on the spatial relationships of land cover changes to drought risk assessment. Specially, the location of significant Gi* values identified areas where the differences in cumulative vegetative and hydrological drought risks occur and are spatially clustered. Analyzing the local spatial autocorrelation of the differences between vegetative and hydrological drought risks identified those areas that have systematic sensitivity to areas of high drought risk. This information may then be used to map the high drought risk areas and help governments to improve the use of local water resources. |
| File Size | 400802 |
| File Format | |
| ISBN | 9781424428076 |
| DOI | 10.1109/IGARSS.2008.4779851 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-07-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Autocorrelation Risk management Remote monitoring Vegetation Geography Statistical distributions Satellite broadcasting Resource management Water resources Computer aided software engineering Getis statistic drought remote sensing local spatial autocorrelation |
| Content Type | Text |
| Resource Type | Article |
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