P.Murugan Scientist/Engineer ''SF'', ISRO Satellite Centre


Water quality parameters estimation using hyperpectral satellite data
Water is one of most essential resources for the life on Earth. More than 70% earth surface is covered by water. As inland water bodies like lakes and ponds have direct impact on environment, they have to be maintained well. Efficient water management can be achieved by monitoring the quality and quantity. Quality of water can be derived from estimation of quality parameters like Chlorophyll-A, Turbidity and Total Suspended Solids (TSS). While most of in-situ measurements use chemical analysis methods, remote measurements employ the optical properties like reflection and absorption of water with different wavelength. The satellite remote sensing gives a systematic coverage with a fixed time interval. Though the multispectral remote sensing is extensively used for water quality measurements, the hyperspectral data provide better accuracy due to its capability of collecting data in hundreds of narrow bands. The satellite based studies use the reflectance variation with spectral wavelength in water quality estimation. This paper provides the results obtained using hyperspectral satellite data and ratio methods. The ratios with single band and multiband reflectance values are employed to extract water quality. The results from different algorithms are compared for their effectiveness. A study on the dynamic behaviour of the water quality also attempted.