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

Viewed

Total article views: 3,303 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
1,611	1,509	183	3,303	134	136

HTML: 1,611
PDF: 1,509
XML: 183
Total: 3,303
BibTeX: 134
EndNote: 136

Views and downloads (calculated since 10 Nov 2025)

Month	HTML	PDF	XML	Total
Nov 2025	637	80	70	787
Dec 2025	188	215	50	453
Jan 2026	327	409	35	771
Feb 2026	126	203	4	333
Mar 2026	158	433	11	602
Apr 2026	39	88	1	128
May 2026	27	36	2	65
Jun 2026	59	26	9	94
Jul 2026	50	19	1	70

Cumulative views and downloads (calculated since 10 Nov 2025)

Month	HTML	PDF	XML	Total
Nov 2025	637	80	70	787
Dec 2025	188	215	50	453
Jan 2026	327	409	35	771
Feb 2026	126	203	4	333
Mar 2026	158	433	11	602
Apr 2026	39	88	1	128
May 2026	27	36	2	65
Jun 2026	59	26	9	94
Jul 2026	50	19	1	70

HTML	PDF	XML	Total	BibTeX	EndNote
101	33	9	143	13	14

HTML	PDF	XML	Total	BibTeX	EndNote
1,510	1,476	174	3,160	121	122

Viewed (geographical distribution)

Total article views: 3,303 (including HTML, PDF, and XML) Thereof 3,230 with geography defined and 73 with unknown origin.

Country	#	Views	%


Total:	0
HTML:	0
PDF:	0
XML:	0


Total:	0
HTML:	0
PDF:	0
XML:	0


Total:	0
HTML:	0
PDF:	0
XML:	0

Saved (final revised paper)

Latest update: 25 Jul 2026

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.