Evaluating the surface temperature and vegetation index (Ts/VI) method for estimating surface soil moisture in heterogeneous regions
Author(s) -
Zhaofei Liu,
Zhijun Yao,
Rui Wang
Publication year - 2017
Publication title -
hydrology research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.665
H-Index - 48
eISSN - 1996-9694
pISSN - 0029-1277
DOI - 10.2166/nh.2017.079
Subject(s) - evapotranspiration , altitude (triangle) , dryness , environmental science , vegetation (pathology) , water content , yangtze river , vegetation index , moisture , hydrology (agriculture) , soil science , atmospheric sciences , normalized difference vegetation index , leaf area index , mathematics , geology , meteorology , geography , ecology , medicine , geometry , surgery , geotechnical engineering , archaeology , pathology , china , biology
The surface temperature and vegetation index ( Ts / VI ) method is a remote sensing-based quantitative approach. It is widely used for estimating the evapotranspiration, evaporative fraction, and surface soil moisture ( SSM ). However, this method can only be used in flat regions. In this study, we investigated the effect of altitude when using the Ts/VI method for estimating the SSM in heterogeneous regions. The results showed that the temperature vegetation dryness index (TVDI) method performed poorly at estimating the SSM in the source region of the Yangtze River; there was a weak correlation with the observed SSM , and R 2 was only 0.167. However, the performance of the method improved considerably when the effects of both altitude and frozen soil were considered; the TVDI had a strong correlation with the observed SSM , and R 2 improved to 0.617. In the study area, the effects of altitude on the TVDI values were greater than those of the frozen soil. In general, the Ts / VI method can obtain satisfactory results in mountainous regions if the effects of both the altitude and frozen soil are considered.
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