[1]SHA Sha,WANG Ying,WANG Lijuan,et al.Research of Application of Land Use Data to TVDI Method on Drought Monitoring in the Eastern Region of Gansu[J].Research of Soil and Water Conservation,2017,24(05):375-381.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
24
Number of periods:
2017 05
Page number:
375-381
Column:
Public date:
2017-10-28
- Title:
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Research of Application of Land Use Data to TVDI Method on Drought Monitoring in the Eastern Region of Gansu
- Author(s):
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SHA Sha, WANG Ying, WANG Lijuan, HU Die
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Institute of Arid Meteorology, CMA, Lanzhou, Key Laboratory of Arid Climate Change and Reducing Disaster of Gansu Province, Key Laboratory of Arid Climate Change and Disaster Reduction of CMA, Lanzhou 730020, China
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- Keywords:
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TVDI; history MODIS data; land using type; drought monitoring; Gansu Province
- CLC:
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TP79;P426.616
- DOI:
-
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- Abstract:
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Clear principle and concise physical meanings make Temperature Vegetation Dryness Index (TVDI) be a wildly used method to monitor drought. The Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) would not the same on different land use types, and the difference would affect the drought monitoring by using TVDI method. Taking the eastern region of Gansu as an example, TVDI was calculated based on history MODIS data, and improvement of TVDI for different land use types was discussed. The results are as follows. (1) On the whole, TVDI had the indication to the relative soil moisture (RSM) in Qingyang, Pingliang, Linxia, the north of Dingxi and Gannan. However, TVDI could not indicate the RSM well in the south of Dingxi, the southern region of Gansu and Tianshui. (2) Feature space was built on different land types, which was more precise and reasonable for indicating the RSM. On the one hand, the monitor ability of TVDI for RSM status was improved in the east of Gansu and some parts of Gannan because of TVDI decreasing for farmland type and increasing for woodland and meadow land type. On the other hand, the distribution of TVDI, which did not consider the land types, was more centralized than RSM. By contrast, the distribution can be broadened by taking land type into account feature space, and it is helpful for distinguish RSM of different drought grades.