Proceedings Paper
Atmospheric correction issues for water quality assessment from remote sensing: the case of Lake Qarun (Egypt)| Format | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 25 October 2010
PDF: 8 pages
Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 78311Z (25 October 2010); doi: 10.1117/12.865083
Published in SPIE Proceedings Vol. 7831:
Earth Resources and Environmental Remote Sensing/GIS Applications
Ulrich Michel; Daniel L. Civco, Editor(s)
PDF: 8 pages
Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 78311Z (25 October 2010); doi: 10.1117/12.865083
Show Author Affiliations
Gabriele Bitelli, Univ. degli Studi di Bologna (Italy)
Emanuele Mandanici, Univ. degli Studi di Bologna (Italy)
Published in SPIE Proceedings Vol. 7831:
Earth Resources and Environmental Remote Sensing/GIS Applications
Ulrich Michel; Daniel L. Civco, Editor(s)
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