Soil moisture estimation using MODIS and ground measurements in eastern China |
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| Authors: | L. Wang J. J. Qu S. Zhang X. Hao S. Dasgupta |
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| Affiliation: | 1. EastFIRE Lab , Center for Earth Observing and Space Research , College of Science , George Mason University , 4400 University Drive, Fairfax, Virginia, 22030lwang2@gmu.edu;3. EastFIRE Lab , Center for Earth Observing and Space Research , College of Science , George Mason University , 4400 University Drive, Fairfax, Virginia, 22030;4. Bureau of Hydrology , Ministry of Water Resources , Baiguang Road, Beijing, 100053, China |
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| Abstract: | Recent technological advances in remote sensing have shown that soil moisture can be measured by microwave remote sensing under some topographic and vegetation cover conditions. However, current microwave technology limits the spatial resolution of soil moisture data. It has been found that the Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) are related to surface soil moisture; therefore, a relationship between ground observed soil moisture and satellite NDVI and LST products can be developed. Three years of 1 km NDVI and LST products from the Moderate Resolution Imaging Spectroradiometer (MODIS) have been combined with ground measured soil moisture to determine regression relationships at a 1 km scale. Results show that MODIS NDVI and LST are strongly correlated with the ground measured soil moisture, and regression relationships are land cover and soil type dependent. These regression relationships can be used to generate soil moisture estimates at moderate resolution for study area. |
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