Issue |
E3S Web Conf.
Volume 502, 2024
2nd International Congress on Coastal Research (ICCR 2023)
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Article Number | 04007 | |
Number of page(s) | 3 | |
Section | Coastal Water Resources, Hydrology and Hydrogeology | |
DOI | https://doi.org/10.1051/e3sconf/202450204007 | |
Published online | 11 March 2024 |
Contribution Of Supervised And Unsupervised Classification In Inundation Mapping: A Case Study
1 Department of Earth Sciences, Faculty of Sciences and Technologies of Tangier (FSTT), Abdelmalek Essaadi University, Tetouan City, 93000, Morocco
2 LaSTIG/MATIS, Gustave Eiffel University, IGN, 5 Bd Descartes, Champs-sur-Marne, Marne-la-Vallée, CEDEX 2 City, 77455, France
Radar images play a major role in mapping flooded areas because of their ability to bypass cloud cover. However, their use presents major challenges linked to the way they are acquired, in particular the phenomena of overlap, foreshortening and radar shadow. The latter, in particular, is a delicate issue because of its potential to be confused with bodies of water. This is also the case for airport runways, as part of this research, a comparative analysis was undertaken using two methods, unsupervised classification coupled with change detection and textural analysis and supervised classification using Random Forest classifier. we used the Kappa coefficient and a number of other metrics to assess the accuracy of the supervised classification.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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