The method of apparent thermal inertia and the method of vegetation water supply index were used respectively for
inversion of soil moisture content on the whole study area using the MODIS remote sensing data. The threshold value of
NDVI that divided coverage of vegetation into high and low classification was determined as 0.3 after the correlative
analysis between the result of the apparent thermal inertia model, the vegetation water supply index and the vegetation
index of NDVI. Land use classification was worked out using the TM remote sensing data by ENVI software before the
coverage of vegetation was divided into high and low classification. According to the result of land use classification, the
VSWI method was used to retrieval soil moisture in the high vegetation coverage area using daily MODIS L1B data and
the apparent thermal inertia model was used in low vegetation coverage using MODIS composite products data. The
inversion results of two vegetation coverage types are integrated into a raster image after data normalization processing.
Combining with the measured data, the precision of the result shows that the RMSE of this method is 8.3% and the MRE
is 9.19% .Results show that the inversion accuracy is improved highly on the whole by the method adopted in this
research.
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