Satellite Imaging-future

Remote sensing basis (radiative transfer) for water pollution are widely reported in literature and are based on concepts as Inherent and Apparent Optical Properties of the Water, water coefficients of absorption and of scatting, water leaving radiance, surface reflectance, under-water reflectance. Satellite images have been widely used to monitor the water quality. Satellite and aircraft remote sensing systems, were used in the assessment of water quality parameters, such as temperature, chlorophyll-a, turbidity, total suspended solids, and secchi disk depth for Lakes and reservoirs. Wang et al. and Houma et al. developed models for the prediction of organic parameters using satellite imagery. Vincent et al., developed Landsat TM algorithms for mapping the content of total coliform bacteria and e-coli in the surface water. Virgilo et al., developed a model that predicts the water quality index of surface water in Medrano Creek, Argentina. Some of the prominent Indian contributions include the work of Tripathy and Singh, who developed a model for obtaining concentration of chlorophyll-a using IRS-1C data. Samson et al. assessed the water quality of Harike wetland in India using satellite imagery from the Indian Remote Sensing satellite (IRS P6). The satellite imagery usually used was Landsat TM imagery. The relative low cost, easy availability, temporal coverage and spatial resolution of Indian Remote Sensing (IRS P6-LISS3) satellite imagery led to its use for prediction. The satellite imagery usually used was Landsat TM imagery. The relative low cost, easy availability, temporal coverage and spatial resolution of Indian Remote Sensing (IRS P6-LISS3) satellite imagery led to its use for prediction. Trophic state index using secchi disc depth which determines the eutrophication status of the Lake system has been ascertained successfully using IRS P6 LISS III imagery. The Lake characteristics namely depth, temperature and turbidity have been measured successfully using IRS P6 LISS imagery. The prediction of sodium and chloride content in the Lake water was also done from the IRS Imagery.

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Last date updated on April, 2024