MODELING OF PHYSICO-CHEMICAL AND BIOLOGICAL PARAMETERS OF PAO CACHINCHE WATER RESERVOIR USING THE SURFACE REFLECTANCE FROM LANDSAT SATELLITE IMAGES, VENEZUELA
Abstract
In this paper, it is proposed multivariable linear models to estimate the physico-chemical and biological parameters of pao cachinche water reservoir using the surface reflectance from landsat satellite images. Eight parameters are included: 1) Total Phosphorus, 2) Total Nitrogen, 3) Plankton, 4) BOD, 5) COD, 6) Total Coliforms, 7) Electrical Conductivity and 8) pH. The results found indicate that the adjustment between the water quality characteristics and the surface reflectance extracted from Landsat satellite images are successful due to the R-Squared statistic indicates that the models as fitted explain between 70.18 and 75.18% of the variability in the physico-chemical and biological parameters. It has been found by each model that only one spectral band might be removed because of the coefficient associated to the recorded reflectances in this band has a low significant influence on the result of the physico-chemical and biological parameters modeling
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