한국수자원학회:학술대회논문집 (Proceedings of the Korea Water Resources Association Conference)
- 한국수자원학회 2016년도 학술발표회
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- Pages.230-230
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- 2016
Reassessment on SEBAL Algorithm and MODIS Products
- Uranchimeg, Sumiya (Dep. of Civil Engineering, Chonbuk National University) ;
- Kwon, Hyun-Han (Dept. of Civil Engineering, Chonbuk National University) ;
- Kim, Hyun-Mook (Yengsan-Seomjin Watershed Business Dept. K-Water) ;
- Kim, Yun-Hee (Daegu-Geyongbuk Administration K-Water)
- 발행 : 2016.05.25
초록
Hydrological modeling is a very complex task dealing with multi-source of data, but it can be potentially benefited from recent improvements and developments in remote sensing. The estimation of actual land surface evapotranspiration (ET), an important variable in water management, has become possible based entirely on satellite data. This study adopted a Surface Energy Balance Algorithm for Land (SEBAL) with the use of MODerate Resolution Imaging Spectrometer (MODIS) satellite products. The SEBAL model is one of the commonly used approach for the ET estimation. A primary advantage of the SEBAL model is rather its minimum requirement for ground-based weather data. The MODIS provides ET (MOD16) product that is based on the Penman-Monteith equation. This study aims to further develop the SEBAL model by employing a more rigorous parameterization scheme including the estimation of uncertainty associated with parameter and model selection in regression model. Finally, the proposed model is compared with the existing approaches and comprehensive discussion is then provided.