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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chunming Peng Liping Di Meixia Deng Ali Yagci |
| Copyright Year | 2012 |
| Description | Author affiliation: GGS Department, George Mason University, 4400 Univ. Dr, Fairfax, VA. U.S. (Chunming Peng; Liping Di; Meixia Deng; Ali Yagci) |
| Abstract | In this study time-series VCI data provided by George Mason University's Global Agricultural Drought Monitoring and Forecasting System (GADMFS) are used for agricultural drought monitoring and forecasting. The validity of using VCI as a primary tool for drought monitoring is supported by the statistical result obtained in this article that the VCI is highly correlated with the PDSI at specific temporal and geospatial resolutions. Three classification schemes for drought severity are discussed here — Fixed Threshold, Natural Breaks (with Jenks) and Quantile schemes. Fixed Threshold Scheme is used though the article because it is computation effective compared with other two, and in the meantime the resulting map proves to be similar to the drought map provided by USDM. The correlation relationships between VCI and PDSI are not identical for different areas in Texas, depending on the vegetation distributions for the specific region. Areas with less variability in vegetation and fewer drought-resistant crops turn out to better reflect the correlations between VCI and PDSI. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 632957 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467324953 |
| e-ISBN | 9781467324960 |
| e-ISBN | 9781467324946 |
| DOI | 10.1109/Agro-Geoinformatics.2012.6311632 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-02 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Correlation Vegetation mapping Educational institutions Time-series Agriculture Indexes Agricultural drought VCI Monitoring MODIS Meteorology PDSI |
| Content Type | Text |
| Resource Type | Article |
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