DOI QR코드

DOI QR Code

Estimation of Spatial Evapotranspiration using the Relationship between MODIS NDVI and Morton ET - For Chungjudam Watershed -

MODIS NDVI와 Morton 증발산량의 관계를 이용한 공간증발산량 산정 기법 연구 - 충주댐유역을 대상으로 -

  • 신형진 (건국대학교 사회환경시스템공학과 대학원) ;
  • 하림 (건국대학교 사회환경시스템공학과 대학원) ;
  • 박민지 (건국대학교 사회환경시스템공학과 대학원) ;
  • 김성준 (건국대학교 사회환경시스템공학과)
  • Published : 2010.01.31

Abstract

The purpose of this study is to estimate monthly Morton evapotranspiration (ET) using normalized difference vegetation index (NDVI) from MODIS satellite images. Morton ET for land surface conditions was evaluated by using daily meteorological data, and the monthly averaged Morton ETs for each land cover were compared with the monthly NDVIs of three years (2000-2002) at Chungjudam Watershed. There was a high correlation between monthly NDVI and Morton ET for the watershed with average coefficient of determination, 0.80. By comparing the MODIS NDVI ET with SLURP Morton ET, the SLURP ET was smaller than the MODIS NDVI ET. This was estimated from the consideration of soil moisture condition for the ET occurrence in the SLURP model, the limited information from the monthly NDVI values, and the errors from the derived regression equations.

Keywords

References

  1. Bouchet, R. J., 1963. Evapotranspiration reelle evapotranspiration potentielle, signification climatique. Int. Assoc. Sci. Hydrol., Proceedings, Berkeley Calif. Symp. Publ. 62: 134-142.
  2. Chae, H. S., Y. S. Song, and J. Y. Park, 2000. An Assessment of Areal Evaportranspiration Using Landsat TM Data. Journal of Korea Water Resources Association 33(4): 471-482 (in Korean).
  3. Gurney, R. J., and D. K. Hall, 1983. Satellite-derived surface energy balance estimates in the Alaskan sub-arctic. J. Climate Meteorol. 22: 115-125. https://doi.org/10.1175/1520-0450(1983)022<0115:SDSEBE>2.0.CO;2
  4. Jackson, R. D., J. L. Hatfield, K. J. Reginato, S. B. Idso, and J. R. Pinter, 1983. Estimates of daily evapotranspiration from one time of day measurements. Agri. Water Mang. 7: 351-362. https://doi.org/10.1016/0378-3774(83)90095-1
  5. Kim, G. S., 1992. meteorology a technical dictionary. Hyangmunsa (in Korean).
  6. Kite, G. W., M. Danard, and B. Li, 1998. Simulating long series of streamflow using datafrom an atmospheric model. Hydrologic Science Journal 43(3): 391-408 https://doi.org/10.1080/02626669809492134
  7. Kotoda, K., 1986. Estimating of river basin evapotranspiration. Environmental Research Center Papers, Univ. Tsukuba 8: 1-92.
  8. Morton, F. I., 1978. Estimating evapotranspiration from potential evaporation-practicality of an iconoclastic approach. Journal of Hydrology 38: 351-362.
  9. Morton, F. I., 1983. Operational estimates of areal evapotranspiration and their significance to the science and practice of hydrology. Journal of Hydrology 66:1-76. https://doi.org/10.1016/0022-1694(83)90177-4
  10. Rouse, J. W., R. H. Haas, J. A. Schell, and D. W. Deering, 1974. Monitoring vegetation systems in the Great Plains with ERTS. Proceedings of the Third Earth Resources Technology Satellite-1 Symposium, 301−317.
  11. Shin, H. J., R. Ha, M. J. Park, and S. J. Kim, 2009. Estimation of Morton CRAE Evapotranspiration Using MODIS NDVI and SLURP Model -For Chungjudam Watershed-. Konkuk Journal of Life & Environment 31(2): 1-9 (in Korean).
  12. Shin, S. C., 1996. Estimation Method of Evapotranspiration through Vegetation Monitoring over Wide Area. Journal of Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography 14(1): 81-88 (in Korean).
  13. Shin, S. C., M. H. Hwang, I. H. Ko, and S. J. Lee, 2006. Suggestion of Simple Method to Estimate Evapotranspiration Using Vegetation and Temperature Information. Journal of Korea Water Resources Association 39(4): 363-372 (in Korean). https://doi.org/10.3741/JKWRA.2006.39.4.363

Cited by

  1. Evaluation of Forest Watershed Hydro-Ecology using Measured Data and RHESSys Model -For the Seolmacheon Catchment- vol.45, pp.12, 2012, https://doi.org/10.3741/JKWRA.2012.45.12.1293
  2. A Study of Informationization Technique for Detecting Flood Inundation Area Using RS vol.15, pp.1, 2012, https://doi.org/10.11108/kagis.2012.15.1.172
  3. Evaluation of the Applicability of Rice Growth Monitoring on Seosan and Pyongyang Region using RADARSAT-2 SAR -By Comparing RapidEye- vol.56, pp.5, 2014, https://doi.org/10.5389/KSAE.2014.56.5.055