Journal of Environmental Impact Assessment (환경영향평가)

Korean Society of Environmental Impact Assessment (한국환경영향평가학회)
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Assessment of Trophic State for Daecheong reservoir Using Landsat TM Imagery Data

Landsat TM 영상자료를 이용한 대청호의 영양상태 평가

  • Han, E.J. (Kum River Water Quality Research Laboratory, National Institute of Environmental Research) ;
  • Kim, K.T. (Kum River Water Quality Research Laboratory, National Institute of Environmental Research) ;
  • Jeong, D.H. (Kum River Water Quality Research Laboratory, National Institute of Environmental Research) ;
  • Cheon, S.Y. (Kum River Water Quality Research Laboratory, National Institute of Environmental Research) ;
  • Kim, S.J. (Kum River Water Quality Research Laboratory, National Institute of Environmental Research) ;
  • Yu, S.J. (Kum River Water Quality Research Laboratory, National Institute of Environmental Research) ;
  • Hwang, J.Y. (Kum River Water Quality Research Laboratory, National Institute of Environmental Research) ;
  • Kim, T.S. (Kum River Water Quality Research Laboratory, National Institute of Environmental Research) ;
  • Kim, M.H. (Kum River Water Quality Research Laboratory, National Institute of Environmental Research)
  • 한의정 (국립환경연구원 금강수질검사소) ;
  • 김태근 (국립환경연구원 금강수질검사소) ;
  • 정동환 (국립환경연구원 금강수질검사소) ;
  • 천세억 (국립환경연구원 금강수질검사소) ;
  • 김신조 (국립환경연구원 금강수질검사소) ;
  • 유순주 (국립환경연구원 금강수질검사소) ;
  • 황종연 (국립환경연구원 금강수질검사소) ;
  • 김태승 (국립환경연구원 금강수질검사소) ;
  • 김명희 (국립환경연구원 금강수질검사소)
  • Published : 1998.05.22
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Abstract

The objective of this study was to use remotely sensed data, combined with in situ data, for the assessment of trophic state for Daecheong reservoir. Three Landsat TM(Thematic Mapper) imagery data were processed to portray trophic state conditions. The remotely sensed data and the measured data were obtained on 20 June 1995. Regression models have been developed between the chlorophyll-a concentration and reflectance which was converted to Landsat TM digital data. The regression model was determined based on the correlation coefficient which was higher than 0.7 and was applied to the entire study area to generate a distribution map of chlorophyll-a and trophic state. The equation, providing estimates of chlorophyll-a concentration, represented the year-to-year spatial variation of trophic zones in the reservoir. Satellite remote sensing data derived from Landsat TM had been successfully used for trophic slate mapping in Daecheong reservoir.

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