41 citations as recorded by crossref.

1. Flood mapping under uncertainty: a case study in the Canadian prairies R. Bharath & A. Elshorbagy https://doi.org/10.1007/s11069-018-3401-1
2. High-Resolution Flood Risk Assessment in Small Streams Using DSM–DEM Integration and Airborne LiDAR Data S. Lee et al. https://doi.org/10.3390/su17219616
3. Palaeoflood level reconstructions in a lowland setting from urban archaeological stratigraphy, Rhine river delta, the Netherlands B. van der Meulen et al. https://doi.org/10.1016/j.catena.2022.106031
4. Flood Risk Evaluation in Urban Spaces: The Study Case of Tormes River (Salamanca, Spain) M. Criado et al. https://doi.org/10.3390/ijerph16010005
5. Probabilistic flood inundation mapping at ungauged streams due to roughness coefficient uncertainty in hydraulic modelling G. Papaioannou et al. https://doi.org/10.5194/adgeo-44-23-2017
6. UAV-borne, LiDAR-based elevation modelling: a method for improving local-scale urban flood risk assessment K. Trepekli et al. https://doi.org/10.1007/s11069-022-05308-9
7. Balancing Accuracy and Efficiency for Sustainable Flood Adaptation: Multi-Resolution LiDAR DEM Sensitivity Analysis of Urban Pluvial Flooding in the Gumi Industrial Complex S. Lee et al. https://doi.org/10.3390/su18115568
8. High temporal resolution urban flood prediction using attention-based LSTM models L. Zhang et al. https://doi.org/10.1016/j.jhydrol.2023.129499
9. A Pilot Study of SHAP-Interpreted Machine Learning for Pixel-Level Landslide Classification from High-Resolution DEM and Satellite Imagery W. Chen & F. Tsai https://doi.org/10.3390/su18157779
10. Social networks impact flood risk mitigation behavior: A case study of lidar adoption in the Pacific Northwest, US T. Pozzi & V. Hillis https://doi.org/10.1016/j.crm.2023.100527
11. Reading in the dark: Shifting governmentalities and the spatial dimensions of legible U.S. flood risk T. Brundidge https://doi.org/10.1177/0308518X241232528
12. Influence of different sources of topographic data on flood mapping: urban area São Vendelino municipality, southern Brazil F. Zambrano et al. https://doi.org/10.1590/2318-0331.252020190108
13. GIS-based hydrodynamic modeling for urban flood mitigation in fast-growing regions: a case study of Erbil, Kurdistan Region of Iraq A. Mustafa et al. https://doi.org/10.1038/s41598-023-36138-9
14. Developing an algorithm for enhancement of a digital terrain model for a densely vegetated floodplain wetland D. Miroslaw-Swiatek et al. https://doi.org/10.1117/1.JRS.10.036013
15. Micro-scale Flood Hazard Assessment Based on Catastrophe Theory and an Integrated 2-D Hydraulic Model: A Case Study of Gongshuangcha Detention Basin in Dongting Lake Area, China D. Shen et al. https://doi.org/10.3390/ijgi9040206
16. A Case Study for the Application of an Operational Two-Dimensional Real-Time Flooding Forecasting System and Smart Water Level Gauges on Roads in Tainan City, Taiwan C. Chang et al. https://doi.org/10.3390/w10050574
17. Flood Damage Analysis: First Floor Elevation Uncertainty Resulting from LiDAR-Derived Digital Surface Models J. Bodoque et al. https://doi.org/10.3390/rs8070604
18. Evaluating High-Resolution LiDAR DEMs for Flood Hazard Analysis: A Comparison with 1:5000 Topographic Maps T. Kim et al. https://doi.org/10.3390/app16021029
19. Flood inundation mapping sensitivity to riverine spatial resolution and modelling approach G. Papaioannou et al. https://doi.org/10.1007/s11069-016-2382-1
20. Accuracy of the Digital Terrain Model and Its Impact on the Results of Hydraulic Modelling in Floodplains J. Říha et al. https://doi.org/10.3390/w18111312
21. A Decadal Historical Satellite Data and Rainfall Trend Analysis (2001–2016) for Flood Hazard Mapping in Sri Lanka N. Alahacoon et al. https://doi.org/10.3390/rs10030448
22. High-resolution flood hazard mapping based on nonstationary frequency analysis: case study of Ho Chi Minh City, Vietnam L. Binh et al. https://doi.org/10.1080/02626667.2019.1581363
23. Flood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change. A Review L. Cea & P. Costabile https://doi.org/10.3390/hydrology9030050
24. Hyper-resolution 1D-2D urban flood modelling using LiDAR data and hybrid parallelization S. Noh et al. https://doi.org/10.1016/j.envsoft.2018.02.008
25. Terrestrial and airborne laser scanning and 2-D modelling for 3-D flood hazard maps in urban areas: new opportunities and perspectives P. Costabile et al. https://doi.org/10.1016/j.envsoft.2020.104889
26. LSTM-Based Citizens’ QoL Provisioning in Smart Cities Using IoT-Enabled Environmental Sensors and Graphical Tools Z. Bai et al. https://doi.org/10.1109/TCE.2024.3512875
27. Residential Flood Loss Assessment and Risk Mapping from High-Resolution Simulation Z. Afifi et al. https://doi.org/10.3390/w11040751
28. Integrating LiDAR and multispectral remote sensing data for understanding wetland-flood dynamics: a literature review M. Anokye & L. Hashemi-Beni https://doi.org/10.3389/fenvs.2026.1757715
29. Extracting quantitative data from non-conventional information for the hydraulic reconstruction of past urban flood events. A case study F. Macchione et al. https://doi.org/10.1016/j.jhydrol.2019.06.031
30. A High-Resolution LiDAR–GIS Framework for Riverine Flood Risk Prediction and Prevention Under Extreme Rainfall S. Lee et al. https://doi.org/10.3390/su18073390
31. A review of flood modeling methods for urban pluvial flood application D. Bulti & B. Abebe https://doi.org/10.1007/s40808-020-00803-z
32. Effect of DEM sources on distributed hydrological model to results of runoff and inundation area K. Pakoksung & M. Takagi https://doi.org/10.1007/s40808-020-00914-7
33. Modeling Surface Runoff in Surakarta Using HEC-HMS and DEM S. Handoyo et al. https://doi.org/10.18400/tjce.1793654
34. An integrated approach of flash flood analysis in ungauged Mediterranean watersheds using post‐flood surveys and unmanned aerial vehicles A. Kastridis et al. https://doi.org/10.1002/hyp.13913
35. Landform classification using a sub-pixel spatial attraction model to increase spatial resolution of digital elevation model (DEM) M. Mokarrama & M. Hojati https://doi.org/10.1016/j.ejrs.2016.11.005
36. Digital elevation models for high-resolution base flood elevation mapping in a densely populated city S. Yang et al. https://doi.org/10.1007/s11069-022-05784-z
37. Analysis of two sources of variability of basin outflow hydrographs computed with the 2D shallow water model Iber: Digital Terrain Model and unstructured mesh size G. García-Alén et al. https://doi.org/10.1016/j.jhydrol.2022.128182
38. Elucidating fecal pollution patterns in alluvial water resources by linking standard fecal indicator bacteria to river connectivity and genetic microbial source tracking C. Frick et al. https://doi.org/10.1016/j.watres.2020.116132
39. Accuracy Assessment of Surveying Strategies for the Characterization of Microtopographic Features That Influence Surface Water Flooding R. Ramachandran et al. https://doi.org/10.3390/rs15071912
40. Assessing the variations of the available flood storage capacity in a flood retention basin due to the changing environment Y. Zhang et al. https://doi.org/10.1016/j.jenvman.2026.128847
41. Mapping flood inundation in Baro Akobo Basin, Itang area, Ethiopia: integrating machine learning and process-based models Y. Belina et al. https://doi.org/10.1007/s12145-024-01547-5