Articles | Volume 26, issue 5
https://doi.org/10.5194/nhess-26-2387-2026
https://doi.org/10.5194/nhess-26-2387-2026
Research article
 | 
27 May 2026
Research article |  | 27 May 2026

Evaluating the effects of preprocessing, method selection, and hyperparameter tuning on SAR-based flood mapping and water depth estimation

Jean-Paul Travert, Cédric Goeury, Sébastien Boyaval, Vito Bacchi, and Fabrice Zaoui

Model code and software

SAR Flood Evaluation Framework v1.0.0 Jean-Paul, Travert, Cédric, Goeury, Sébastien, Boyaval, Vito, Bacchi, and Fabrice, Zaoui https://doi.org/10.5281/zenodo.20209044

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Short summary
This study presents the impact of various processing methods on flood maps and water depth estimates derived from Synthetic Aperture Radar (SAR) satellite data. The results suggest that the choice of methods and parameters at each processing step has a strong influence on the outputs. This study emphasizes the importance of evaluating the entire processing pipeline to quantify the uncertainties which may hinder the capability to calibrate or validate hydrodynamic models.
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