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자료유형
학술저널
저자정보
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한국환경영향평가학회 환경영향평가 환경영향평가 제15권 제2호
발행연도
2006.1
수록면
121 - 127 (7page)

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The conventional water quality measurements by point sampling provide only site specifictemporal water quality information but not the synoptic geographic coverage of water qualitydistribution. To circumvent these limitations in temporal and spatial measurements, the use ofremote sensing is increasingly involved in the water quality monitoring research. In other toassess a trophic state of Yongdam reservoir using satellite imagery data, I obtained LandsatETM data and water quality data on 16th September and 18th October 2001. The approachinvolved acquisition of water quality samples from boats at 33 sites on 16th September and 30sites on 18th October 2001, simultaneous with Landsat-7 satellite overpass. The correlationcoefficients between the DN values of the imagery and the concentrations of chlorophyll-a wereanalyzed. The visible bands(band 1,2,3) and near infrared band(band 4) data of Septemberimage showed the correlation coefficient values higher than 0.9. The October image showed thecorrelation coefficient values about 0.7 due to the atmospheric effect and low variation ofchlorophyll-a concentration. Regression models between the chrophyll-a concentration and DNvalues of the Landsat imagery data have been developed for each image. The regression modelwas determined based on the spectral characteristics of chlorophyll, so the green band(band 2)and near infrared band(band 4) were selected to generate a trophic state map. The coefficient ofdetermination(R2) of the regression model for 16th September was 0.95 and that of theregression model for 18th October was 0.55. According to the trophic state map made based onAizaki’s TSI and chlorophyll-a concentration, the trophic state of Yongdam reservoir wasmostly eutrophic state during this study.

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