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Water Quality Retrieval from Landsat TM Imagery
Computer Science Faculty Publications and Presentations
  • Arun D. Kulkarni, University of Texas at Tyler
In this paper, the utility of Landsat TM imagery for water quality studies in East Texas is investigated. Remote sensing has an important and effective role in water quality management. Remote sensing satellites measure the amount of solar radiation reflected by surface water and the reflectance of water depend upon the concentration and character of water quality parameters. Three water quality parameters namely the total suspended solids, chlorophyll-a, and turbidity are estimated in this study. In situ water quality parameter measurements from seven ground stations and the corresponding Landsat TM data were used to estimate the water quality parameters. Regression models are used to evaluate correlation between the water quality parameters and spectral reflectance values.
This article was originally published with ScienceDirect under a Creative Commons license.
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Kulkarni A. D. (2011). Water quality retrieval from Landsat TM imagery. Procedia Computer Science, vol. 6, pp. 475-480.
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Arun D. Kulkarni. "Water Quality Retrieval from Landsat TM Imagery" (2011)
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