THE LASER SCAN DATA AS A KEY ELEMENT IN THE HYDRAULIC FLOOD MODELLING IN URBAN AREAS

14 citations as recorded by crossref.

1. A physically-based conceptual model calibrated on experimental data for estimating the flood instability hazard for pedestrians in urban area R. Albano et al. https://doi.org/10.1007/s40808-026-02779-8
2. Flood Risk Mapping Using GIS and Multi-Criteria Analysis: A Greater Toronto Area Case Study D. Rincón et al. https://doi.org/10.3390/geosciences8080275
3. Parameters and methods used in flood susceptibility mapping: a review C. Kaya & L. Derin https://doi.org/10.2166/wcc.2023.035
4. Methods Used in Flood Susceptibility Mapping Ç. KAYA https://doi.org/10.48123/rsgis.1129606
5. GIS-Based Analytical Hierarchy Process for Identifying Groundwater Potential Zones in Punjab, Pakistan M. Naeem et al. https://doi.org/10.3390/ijgi13090317
6. Estimating flash flood surface flow velocity in heritage city using citizen-recorded videos M. Asif et al. https://doi.org/10.1016/j.pdisas.2025.100474
7. FLOOD-DEPTH-ML: Machine learning-driven python application for estimation of urban flood depths through submerged vehicles detection M. Mishra & R. Albano https://doi.org/10.1016/j.rineng.2026.109495
8. Flood Susceptibility Mapping on a National Scale in Slovakia Using the Analytical Hierarchy Process M. Vojtek & J. Vojteková https://doi.org/10.3390/w11020364
9. Comparing Three Machine Learning Techniques for Building Extraction from a Digital Surface Model N. Notarangelo et al. https://doi.org/10.3390/app11136072
10. A GIS Tool for Mapping Dam-Break Flood Hazards in Italy R. Albano et al. https://doi.org/10.3390/ijgi8060250
11. Use of digital elevation models for flood susceptibility assessment via a hydrogeomorphic approach: A case study of the Basento River in Italy R. Albano & J. Adamowski https://doi.org/10.1007/s11069-025-07144-z
12. FloodRisk: a collaborative, free and open-source software for flood risk analysis R. Albano et al. https://doi.org/10.1080/19475705.2017.1388854
13. Using FloodRisk GIS freeware for uncertainty analysis of direct economic flood damages in Italy R. Albano et al. https://doi.org/10.1016/j.jag.2018.06.019
14. Improving flood risk analysis for effectively supporting the implementation of flood risk management plans: The case study of “Serio” Valley R. Albano et al. https://doi.org/10.1016/j.envsci.2017.05.017