Atmospheric correction issues for water quality assessment from Remote Sensing: the case of Lake Qarun (Egypt)

Water quality assessment and monitoring from remote sensing data is strongly affected by the accuracy of the atmospheric effect correction. Two algorithms, based respectively on Modtran 4 and on 6SV radiative transfer codes, and an empirical image-based method have been compared, also examining the sensitivity to different parameterizations of water vapour content and aerosols. The experimentation has been carried out on a specific case study, lake Qarun, a conservation area located in the Fayyum Oasis (Egypt). Water quality indicators have been computed by multispectral and hyperspectral data and compared to literature data