Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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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)
  • Received : 2014.06.19
  • Accepted : 2014.06.24
  • Published : 2014.06.30
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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.

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References

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