| Drought forecasting based on the vegetation temperature condition index using weighted Markov model |
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| DOI：10.7606/j.issn.1000-7601.2008.06.38 |
| Key Words: vegetation temperature condition index weighted Markov model drought forecasting |
| Author Name | Affiliation | | HAN Ping | College of Science China Agricultural University,Beijing 100094, China | | WANG Pengxin | College of Information and Electrical Engineering China Agricultural University,Beijing 100083,China | | WANG Jiahui | College of Science China Agricultural University,Beijing 100094, China | | SUN Wei | College of Information and Electrical Engineering China Agricultural University,Beijing 100083,China | | ZHU Dehai | College of Information and Electrical Engineering China Agricultural University,Beijing 100083,China |
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| Abstract: |
| The spatial and time series of vegetation temperature condition index (VTCI) for Guanzhong Plain and Weibei Tablelands are analyzed using weighted Markov model.The VTCI images of 2 lead-time prediction are got.Comparing the monitoring images with the forecasting images,we can find the similar characters showing similar drought distribution between the monitoring image and the forecasting image.The further difference detection in difference images shows that the average difference of 1-step prediction is 0.042,and the average difference of 2-step prediction is 0.152. |
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