Simulation of Soil Moisture and Analysis Influence Factors Based on MODIS Data
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Abstract:
Using thermal inertia method, ATI-SWC experience model of Guanzhong area was established, combined the same time soil moisture data measured at weather station and temperature difference of day and night and reflectivity obtained based on three phrase Terro-MODIS1B data in spring of 2009. The results showed that the model of March 3 had high precision and the model of April 28 has lowest precision. NDVIs of the three time were analyzed and NDVI affected model precision greatly, so thermal inertia method had higher precision on monitoring soil moisture of bare land. Finally, together with DEM，influences from geology, geomorphology and NDVI to soil moisture in Guanzhong were comprehensive analyzed. Results had some reference value on drought monitoring of Guanzhong.
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