Study of coastal water quality using HYPERION hyperspectral satellite images-case study of Arvandkenar Coasts

Nowadays, because of bad urban, agriculture and industrial management many of water resources suffer quality issues. Remote Sensing play a key role in water quality assessment and management. Many of pollutions can be observed using remote sensing images, so it can be a very useful tool for water resources management. Because of wide spreading of water bodies, field work cause to increase in time and cost of studies, so using satellite images can be an alternative. Quality monitoring such as salinity, water color, suspended sediment may measure using satellite images. For assessing Water Quality, some empirical relations should be found to relate water quality to one or some spectral bands. Water Quality parameters such as color, chlorophyll, Suspended Sediment and Salinity may be assessed using Remote Sensing techniques. Remote Sensing can be used for assessment and monitoring algal concentration in lakes and water resources. Increase in chlorophyll cause to reduction in Blue band reflectance and increase in Green band reflectance. For assessing Water Quality, some empirical relations should be found to relate water quality to one or some spectral bands. In this study, Chl-a, concentration of Tripton and Turbidity of a small part of the Persian Gulf was estimated applying a bio-optical model