Estimation of groundwater level from TVDI after topographic correction
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DOI:10.7606/j.issn.1000-7601.2018.03.36
Key Words: TVDI  topographic correction  groundwater depth  soil moisture content
Author NameAffiliation
CAI Liang-hong College of Resources & Environmental Science, Xinjiang University, Urumqi, Xinjiang 830046 China
Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, Xinjiang 830046 China 
DING Jian-li College of Resources & Environmental Science, Xinjiang University, Urumqi, Xinjiang 830046 China
Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, Xinjiang 830046 China 
WEI Yang College of Resources & Environmental Science, Xinjiang University, Urumqi, Xinjiang 830046 China
Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, Xinjiang 830046 China 
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Abstract:
      In arid and semiarid areas, groundwater is the important water source for terrestrial vegetation survival, but traditional method of monitoring underground water is waste time and energy. Acquiring large-scale and high-precision groundwater level in real or near-real time is critical. Based on the temperature vegetation drought index(TVDI), three phase of Landsat 8 extract RVI (Ratio Vegetation Index), NDVI (Normalized Difference Vegetation Index), EVI (Enhanced Vegetation Index), MSAVI (Modified Soil Adjusted Vegetation Index), DVI (Difference Vegetation Index) and Ts ( Land Surface Temperatures), the DEM data were used to correct the Ts data for the reduction of the topographic influences by topographic relief, and the best groundwater depth inversion model was selected. The results indicated that:(1) DEM was used to regulate Ts based on the traditional TVDI, the coefficient of determination between TVDI before and after topographic correction and groundwater depth was improved from 0.4381 to 0.5053, which showed that the terrain correction could effectively improve the inversion accuracy of groundwater depth; (2)Compared the coefficient of determination between five different TVDI and soil moisture and groundwater depth by three phase of the image, in the whole, Ts-MSAVI was best, and the highbest R2 was 0.5547 and 0.5202 respectively; (3) In case the soil moisture data were lacking, the groundwater depth distribution could be estimated by factors reflecting the relative soil water content.