Evaluation of MODIS NDVI and LST for indicating soil moisture of forest areas based on SWAT modeling
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This study examined the capability of remotely sensed information gained using the terra moderate resolution imaging spectroradiometer (MODIS) normalized difference vegetation index (NDVI) and land surface temperature (LST) to explain forest soil moisture. The soil and water assessment tool (SWAT) was used for the analysis. Nine years (2000–2008) of monthly MODIS NDVI and LST data from a 2,694.4 km2 watershed consisting of forest-dominant areas in South Korea were compared with SWAT simulated soil moisture. Before the analysis, the SWAT model was calibrated and verified using 9 years of daily streamflow at three gauging stations and 6 years (2003–2008) of daily measured soil moisture at three locations within the watershed. The average Nash–Sutcliffe model efficiency during the streamflow calibration and validation was 0.72 and 0.70, respectively. The SWAT soil moisture showed a higher correlation with MODIS LST during the forest leaf growing period (March–June) and with MODIS NDVI during the leaf falling period (September–December). Low correlation was observed in the year of frequent rains, regardless of the leaf periods.
KeywordsLST NDVI Remote sensing Soil moisture SWAT Vegetation information
This study was supported by the Center for Aquatic Ecosystem Restoration (CAER) of the Ecostar project from the Ministry of Environment (MOE), Republic of Korea (MOE; EW-55-12-10), and the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2013-065006).
- Hwang TH, Kim BS, Kim HS, Seoh BH (2006) The estimation of soil moisture index by SWAT model and drought monitoring. Korean Soc Civil Eng 26(4B):345–354Google Scholar
- Neitsch SL, Arnold JG, Kiniry JR, Williams JR, King KW (2002) Soil and Water Assessment Tool: theoretical documentation, Version 2000. TWRI Report TR‐191, Texas Water Resources Institute, College Station, TexasGoogle Scholar