Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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Mapping Water Quality of Yongdam Reservoir Using Landsat ETM Imagery

  • Published : 2002.06.01
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Abstract

Chlorophyll-a concentration maps of Yongdam reservoir in September and October, 2001 were produced using Landsat ETM imagery and the in-situ water quality measurement data. In-situ water samples were collected on 16th September and 18th October during the satellite overpass. The correlations between the DN values of the imagery and the values of chlorophyll-a concentration were analyzed. The visible bands(band 1, 2, 3) and the near infrared band(band 4) data of September image showed the correlation coefficient values higher than 0.9. The October image showed correlation coefficient values of about 0.7 due to the low variations of chlorophyll-a concentration. Regression models between the DN values of the Landsat ETM image and the chlorophyll-a concentration have been developed for each image. The developed regression models were then applied to each image, and finally the chlorophyll-a distribution maps of Yongdam reservoir were produced. The produced maps showed the spatial distribution of the chlorophyll-a in Yongdam reservoir in a synoptic way so that the tropic state could be easily monitored and analysed in the spatial domain.

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References

  1. Korean Journal of Remote Sensing v.12 no.3 Trophic state mapping of Daechung reservoir by neural network classification of Landsat TM images Kim, K. E.;Kim, T. K.
  2. Journal of the Korean Society for Geo-Spatial Information System v.4 no.2 Monitoring lake water quality using Landsat TM imagery data Kim, T. K.;Kim, K. E.;Cho, G. S.;Kim, H. G.
  3. Proc. American Water Resources Association v.17 Water quality monitoring of reservoirs on the Colorado river utilizing ERTS-1 Imagery Lepley, L. K.;Foster, K. E.;Everett, L. G.
  4. Photogrammetric Engineering and Remote Sensing v.49 no.2 Use of Landsat data to predic the trophic state of Minnesota Lakes Lillesand, T. M.;Johnson, W. L.;Deuli, R. L.;Lindstrom, O. M.;Meisner, D. E.
  5. International Journal of Remote Sensing v.10 no.7 The effect of sediment type on the relationship between reflectance and suspended sediment concentration Novo, E. M. M.;Hanson, J. D.;Curan, P. J.
  6. International Journal of Remote Sensing v.13 no.14 Estimating chlorophyll concentration using upwelling radiance from different freshwater algal genera Quibell, G.
  7. International Journal of Remote Sensing v.14 no.17 Detecting water quality parameters in the Norfolk Broads, U. K. using Landsat imagery Serwan, M. J. B.
  8. Journal of Plankton Research v.17 no.11 Remote sensing of chlorophyll in Lake Kinneret using high-spectral resolution radiometer and Landsat TM : Spectral Features of reflectance and algorithm development Yacobi, Y. Z.;Gitelson, A.;Mayo, M.