25 October 2010 Atmospheric correction issues for water quality assessment from remote sensing: the case of Lake Qarun (Egypt)
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Abstract
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). Simple water quality indicators have been computed by multispectral and hyperspectral data and compared to literature data.
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Gabriele Bitelli, Emanuele Mandanici, "Atmospheric correction issues for water quality assessment from remote sensing: the case of Lake Qarun (Egypt)", Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 78311Z (25 October 2010); doi: 10.1117/12.865083; https://doi.org/10.1117/12.865083
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