| A study on drought monitoring based on the vegetation temperature condition index |
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| DOI：10.7606/j.issn.1000-7601.2009.03.39 |
| Key Words: VTCI retrieval surface soil moisture drought monitoring |
| Author Name | Affiliation | | SU Tao | College of Information and Electrical Engineering China Agricultural University East Campus, Beijing 100083, China | | WANG Pengxin | College of Information and Electrical Engineering China Agricultural University East Campus, Beijing 100083, China | | XU Wenning | College of Information and Electrical Engineering China Agricultural University East Campus, Beijing 100083, China | | SU Wei | College of Information and Electrical Engineering China Agricultural University East Campus, Beijing 100083, China | | LIU Dongsheng | College of Information and Electrical Engineering China Agricultural University East Campus, Beijing 100083, China | | LIU Xiangge | College of Information and Electrical Engineering China Agricultural University East Campus, Beijing 100083, China | | WU Hongfeng | Information Institute of Heilongjiang Academy of Land Reclamation Sciences, Harbin, Heilongjiang 150036, China |
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| Abstract: |
| Landsat TM images are used to calculate and retrieve normalized difference vegetation index (NDVI) and land surface temperature (LST) .Vegetation temperature condition index (VTCI) drought monitoring approach is applied to monitor droughts and to retrieve surface soil moisture in Junchuan farm of Helongjiang Province in Northeast China.Soil surface moisture retrieval methods based on NDVI-LST and VTCI models are developed and compared, and the results show that the spatial distributions of soil surface moisture are similar for the two models.The drought monitoring results are validated by using ground measured soil surface moisture.The results indicate that a good linear correlation between VTCI and soil moisture at surface layers (0～10 cm and 0～20 cm) respectively, and further confirm that VTCI approach is a real time drought monitoring approach. |
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