인공위성 영상자료를 이용한 용담호의 영양상태 평가
Assessment of Trophic State for Yongdam Reservoir Using Satellite Imagery Data
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Abstract
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.
참고문헌 (13)
- Kim Kwang-Eun, "Trophic State Mapping of Daechung Reservoir by Neural Network Classification of Landsat TM Images", Journal of the, 12(3), pp.271~282 (1996)
- 김태근, "클로로필의 반 사특성 분석과 원격탐측을 이용한 대청호의 영양상태 평가", 지형공간정보, 4(2), pp.35~45 (1996)
- 김태근, "원격탐사를 이용한 금강수계 대형 농 업용 저수지의 영양상태 평가", 지형공간정보, 9(1), pp.19~25 (2001)
- 조명희, "GIS와 위성영상을 이용한 수질 오염인자의 공간 변화 분석", 한국지리정보학회지, 2(3), pp.60~70 (1999)
- 한의정, "LANDSAT TM 영상자료를 이용한 대청호의 영양상태 평가", 환경영향평가학회지, 7(1), pp.81~91 (1998)
- Aizaki, et al, "Application of modified Carlson’s Trophic State Index to Japanese Lakes and its Relationships to other Parameters related to Trophic State", Kokuritsu Kogai Kenkynsho Kenkyu Hokoku, Res. Rep. Natl. Envir. Study in Japan, 23, pp.13~31 (1981)
- Carlson R. E, "A Trophic State Index for Lakes", Limnology and Oceanography, 22(2), pp.361~369 (1977)
- D. J. Carpenter, "Modeling Inland Water Quality Using Landsat Data", Remote Sensing of Environment, 13, pp.345~352 (1983)
- Harlan L. Mckim, "Water Quality Monitoring Using an Airborne Spectroradiometer", Photogrammetric Engineering and Remote Sensing, 50(3), pp.353~360 (1984)
- Jerry C. Ritchie, "The Relationship of MSS and TM Digital Data with Suspended Sediments", Chlorophyll and Temperature in Moon Lake, Mississippi, Remote Sensing of Environment, 33, pp.137~148 (1990)
- Serwan M. J. Baban, "Detecting Water Quality Parameters in the Norfolk Broads", U.K., Using Landsat Imagery, Int. J. Remote Sensing, 14(7), pp.1247~1267 (1993)
- Tommy Lindell, "A Further Development of the Chromaticity Technique for Satellite Mapping of Suspended Sediment Load", Photogrammetric Engineering and, 52(9), pp.1521~1529 (1986)
- Yosef Z. Yacobi, "Remote Sensing of Chlorophyll in Lake Kinneret Using Highspectral- resolution Radiometer and Landsat TM: Spectral Features of Reflectance and Algorithm Development", Journal of Plankton Research, 17(11), pp.2155~2173 (1995)