Monitoring of Soil Moisture Based on Land Surface Temperature and Vegetation Index Feature Space in the Jinghe Watershed
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Abstract:
Compared with the traditional soil moisture monitoring methods, remote sensing technology has apparent advantages to obtain the large-scale land surface information rapidly and to improve the monitoring precision of regional soil moisture. In this paper, on the basis of Moderate Resolution Imaging Spectoradiometer (MODIS) and observed soil moisture data at the agro-meteorological monitoring stations, a remote sensing model of soil moisture based on temperature and vegetation index was developed and applied to estimate the soil moisture in the Jinghe Watershed and to analyze the spatio-temporal distribution of soil moisture between March and October from 2000 to 2010. The results showed that the method based on vegetation temperature condition index (VTCI) can reflect the distribution and variation of soil moisture in the Jinghe Watershed.
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