17 citations as recorded by crossref.

1. Flood depth mapping with SWOT-derived training data: evaluating the potential of open-source datasets Z. Li et al. https://doi.org/10.1016/j.jhydrol.2026.136000
2. Geospatial and Deep Learning Approaches for Modeling Floodwater Depth in Urbanized Areas J. Blay & L. Hashemi-Beni https://doi.org/10.3390/rs18010060
3. Calibration framework for complex 2D hydrodynamic models: Use of satellite-derived flood extent and water depth data, and evaluation with various performance metrics I. Zotou et al. https://doi.org/10.1016/j.advwatres.2025.105066
4. Flood hazard assessment due to dam breaching considering river morphodynamics A. Graziano et al. https://doi.org/10.1007/s11069-025-07658-6
5. A Simplified Multi-Hazard Framework for the Protection of Coastal Salt Pond Systems D. Rapti & S. Valkaniotis https://doi.org/10.3390/environments13070400
6. Enhancing inundation mapping with geomorphological segmentation: Filling in gaps in spectral observations M. Rossi & R. Vervoort https://doi.org/10.1016/j.scitotenv.2025.180180
7. FlDepth: A New Method for Estimating Fluvial and Pluvial Flood Depths from Near Real-Time Satellite-Derived Inundation Map and Topography A. Akkimi et al. https://doi.org/10.1007/s11269-025-04405-1
8. Enhanced large-scale flood mapping using data-efficient unsupervised framework based on morphological active contour model and single synthetic aperture radar image R. Soudagar et al. https://doi.org/10.1016/j.jenvman.2025.124836
9. Association between flood exposure and chronic kidney disease: A nationwide cross-sectional study in China Y. Qin et al. https://doi.org/10.1016/j.envres.2025.123631
10. Evaluating the effects of preprocessing, method selection, and hyperparameter tuning on SAR-based flood mapping and water depth estimation J. Travert et al. https://doi.org/10.5194/nhess-26-2387-2026
11. Data assimilation of flood maps in a 2D flood model for different performance measures J. Travert et al. https://doi.org/10.1007/s10596-026-10452-3
12. A hybrid technique for flood inundation detection using Pareto scaling normalization and bayesian probability P. Hazra et al. https://doi.org/10.2166/wpt.2026.279
13. Automated urban flood level detection based on flooded bus dataset using YOLOv8 Y. Qiu et al. https://doi.org/10.5194/nhess-25-3525-2025
14. Flood and Rice Damage Mapping for Tropical Storm Talas in Vietnam Using Sentinel-1 SAR Data P. van Rutten et al. https://doi.org/10.3390/rs17132171
15. Advancing Flood Detection and Mapping: A Review of Earth Observation Services, 3D Data Integration, and AI-Based Techniques T. Destefanis et al. https://doi.org/10.3390/rs17172943
16. Predicting multi period flood cascades and community failure in EV charging networks Y. Wan et al. https://doi.org/10.1038/s44304-025-00164-6
17. FLDSensing: Remote Sensing Flood Inundation Mapping with FLDPLN J. Edwards et al. https://doi.org/10.3390/rs17193362