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http://dx.doi.org/10.7780/kjrs.2014.30.3.4

Approximate estimation of soil moisture from NDVI and Land Surface Temperature over Andong region, Korea  

Kim, Hyunji (Department of Spatial Information Engineering, Pukyong National University)
Ryu, Jae-Hyun (Department of Spatial Information Engineering, Pukyong National University)
Seo, Min Ji (Department of Spatial Information Engineering, Pukyong National University)
Lee, Chang Suk (Department of Spatial Information Engineering, Pukyong National University)
Han, Kyung-Soo (Department of Spatial Information Engineering, Pukyong National University)
Publication Information
Korean Journal of Remote Sensing / v.30, no.3, 2014 , pp. 375-381 More about this Journal
Abstract
Soil moisture is an essential satellite-driven variable for understanding hydrologic, pedologic and geomorphic processes. The European Space Agency (ESA) has endorsed soil moisture as one of Climate Change Initiates (CCI) and had merged multi-satellites over 30 years. The $0.25^{\circ}$ coarse resolution soil moisture satellite data showed correlations with variables of a water stress index, Temperature-Vegetation Dryness Index (TVDI), from a stepwise regression analysis. The ancillary data from TVDI, Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) from MODIS were inputted to a multi-regression analysis for estimating the surface soil moisture. The estimated soil moisture was validated with in-situ soil moisture data from April, 2012 to March, 2013 at Andong observation sites in South Korea. The soil moisture estimated using satellite-based LST and NDVI showed a good agreement with the observed ground data that this approach is plausible to define spatial distribution of surface soil moisture.
Keywords
Soil Moisture; Temperature-Vegetation Dryness Index (TVDI); NDVI; LST;
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