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33. A Method for Automatic and Rapid Mapping of Water Surfaces from Sentinel-1 Imagery F. Bioresita et al. 10.3390/rs10020217
34. A GIS-based multi-criteria decision analysis of urban flood risk W. Xu et al. 10.1108/IJBPA-11-2024-0233
35. Modeling Flood Hazard Zones at the Sub-District Level with the Rational Model Integrated with GIS and Remote Sensing Approaches D. Asare-Kyei et al. 10.3390/w7073531
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38. Assessing flood hazard using flood marks and analytic hierarchy process approach: a case study for the 2013 flood event in Quang Nam, Vietnam C. Luu et al. 10.1007/s11069-017-3083-0
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40. Spatiotemporal flood risk assessment of underground space considering flood intensity and escape route E. Shin et al. 10.1007/s11069-021-04888-2
41. Lessons learned from past ice-jam floods concerning the challenges of flood mapping K. Lindenschmidt et al. 10.1080/15715124.2018.1439496
42. Assessing the Governance Context Support for Creating a Pluvial Flood Risk Map with Climate Change Scenarios: The Flemish Subnational Case C. Casiano Flores & J. Crompvoets 10.3390/ijgi9070460
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46. How does your viewing perspective matter for decision-making with flood risk maps?* F. Kuster et al. 10.1080/15230406.2023.2268502
47. Flood risk policies in Italy: a longitudinal institutional analysis of continuity and change C. Vitale & S. Meijerink 10.1080/07900627.2021.1985972
48. Sentinel‐1 remote sensing data and Hydrologic Engineering Centres River Analysis System two‐dimensional integration for flash flood detection and modelling in New Cairo City, Egypt I. Elkhrachy et al. 10.1111/jfr3.12692
49. GIS-based identification and analysis of suitable evacuation areas and routes in flood-prone zones of Nakhon Si Thammarat municipality P. Suwanno et al. 10.1016/j.iatssr.2023.08.004
50. Flood Maps in the Czech Republic: Content, Perception and Information value K. Klemešová et al. 10.1051/e3sconf/20160710006
51. Comparative Analysis of Coastal Flooding Vulnerability and Hazard Assessment at National Scale M. Di Risio et al. 10.3390/jmse5040051
52. A Study on Storm and Flood Insurance Management Mapping: Case Study of Incheon Metropolitan City I. Lee et al. 10.3390/ijgi8110485
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54. GIS‐Based Identification and Analysis of Optimal Evacuation Areas and Routes in Flood‐Prone Zones of Swabi District, Pakistan S. Ahmad et al. 10.1155/2024/9550808
55. Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates H. de Moel & J. Aerts 10.1007/s11069-010-9675-6
56. How are flood risk estimates affected by the choice of return-periods? P. Ward et al. 10.5194/nhess-11-3181-2011
57. An efficient flood dynamic visualization approach based on 3D printing and augmented reality G. Zhang et al. 10.1080/17538947.2019.1711210
58. River basin planning: from qualitative to quantitative flood risk assessment: the case of Abruzzo Region (central Italy) A. Scorzini & M. Leopardi 10.1007/s11069-017-2857-8
59. Dealing with sediment transport in flood risk management M. Nones 10.1007/s11600-019-00273-7
60. Model Uncertainty in Flood Modelling. Case Study at Vu Gia Thu Bon Catchment - Vietnam V. Duong & P. Gourbesville 10.1016/j.proeng.2016.07.537
61. Operational Monitoring and Damage Assessment of Riverine Flood-2014 in the Lower Chenab Plain, Punjab, Pakistan, Using Remote Sensing and GIS Techniques A. Sajjad et al. 10.3390/rs12040714
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63. Low cost, multiscale and multi-sensor application for flooded area mapping D. Giordan et al. 10.5194/nhess-18-1493-2018
64. Methodology for future flood assessment in terms of economic damage: Development and application for a case study in Nepal M. Delalay et al. 10.1111/jfr3.12623
65. Integrated assessment of socio-economic risks of hazardous hydrological phenomena in Slavyansk municipal district S. Zemtsov et al. 10.1007/s11069-016-2290-4
66. Towards periodic and time-referenced flood risk assessment using airborne remote sensing C. Brenner et al. 10.1515/johh-2016-0034
67. Transfer Learning with Convolutional Neural Networks for Rainfall Detection in Single Images N. Notarangelo et al. 10.3390/w13050588
68. Batman Barajı’nın Yıkılması Durumunda Mansapta Taşkın Riskinin İki Boyutlu Hidrolik Modelleme ve Uydu Verileri ile Analizi G. UYSAL & E. TAŞÇI 10.21324/dacd.1107630
69. Identification of priority areas for green stormwater infrastructure based on supply and demand evaluation of flood regulation service Y. Zhou & X. Wu 10.1016/j.envdev.2023.100815
70. Process of paleofloods in Guanting basin, Qinghai Province, China and possible relation to monsoon strength during the mid-Holocene M. Ma et al. 10.1016/j.quaint.2012.05.031
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73. Can sediments play a role in river flood risk mapping? Learning from selected European examples M. Nones & Y. Guo 10.1186/s40677-023-00250-9
74. Probabilistic Assessment of Flood Hazard due to Levee Breaches Using Fragility Functions M. D'Oria et al. 10.1029/2019WR025369
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77. Urban flood resilience, a multi-level institutional analysis of planning practices in the Metropolitan City of Naples C. Vitale et al. 10.1080/09640568.2021.2006156
78. Flood hazard assessment of River Dep floodplains in North-Central Nigeria E. Rose et al. 10.5897/IJWREE2013.0457
79. Overlooking probabilistic mapping renders urban flood risk management inequitable J. Bodoque et al. 10.1038/s43247-023-00940-0
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81. Raising risk preparedness by flood risk communication E. Maidl & M. Buchecker 10.5194/nhess-15-1577-2015
82. A Critical Review of Flood Risk Management and the Selection of Suitable Measures M. Tariq et al. 10.3390/app10238752
83. Multi-hazard assessment modeling via multi-criteria analysis and GIS: a case study H. Skilodimou et al. 10.1007/s12665-018-8003-4
84. Material damage caused by high-magnitude rainfall based on insurance data: Comparing two flooding events in the Lisbon Metropolitan Area and Madeira Island, Portugal M. Leal et al. 10.1016/j.ijdrr.2020.101806
85. Detailed insights into the influence of flood-coping appraisals on mitigation behaviour P. Bubeck et al. 10.1016/j.gloenvcha.2013.05.009
86. Robust spatial flood vulnerability assessment for Han River using fuzzy TOPSIS with α-cut level set G. Lee et al. 10.1016/j.eswa.2013.07.089
87. Flood-Prone Area Assessment Using GIS-Based Multi-Criteria Analysis: A Case Study in Davao Oriental, Philippines J. Cabrera & H. Lee 10.3390/w11112203
88. A DEM-based approach for large-scale floodplain mapping in ungauged watersheds K. Jafarzadegan & V. Merwade 10.1016/j.jhydrol.2017.04.053
89. Motivations, procedures and stated values for municipal flood plans: experiences from Central Europe M. Krpešová & P. Raška 10.1080/02508060.2023.2214876
90. ESTIMATES OF THE NUMBER OF FATALITIES IN CASE OF LARGE-SCALE FLOODS WITH EFFECTIVENESS ANALYSIS OF THE MITIGATORY OPERATIONS K. IKEUCHI et al. 10.2208/jscejhe.69.I_1651
91. Recommendations for the user-specific enhancement of flood maps V. Meyer et al. 10.5194/nhess-12-1701-2012
92. Stakeholder perceptions in flood risk assessment: A hybrid fuzzy AHP-TOPSIS approach for Istanbul, Turkey Ö. Ekmekcioğlu et al. 10.1016/j.ijdrr.2021.102327
93. Methodology for constructing a flood-hazard map for a future climate Y. Kimura et al. 10.5194/hess-27-1627-2023
94. The SPR systems model as a conceptual foundation for rapid integrated risk appraisals: Lessons from Europe S. Narayan et al. 10.1016/j.coastaleng.2013.10.021
95. Flood hazard maps in the European context M. Nones 10.1080/02508060.2016.1269282
96. Regional flood risk analysis for agricultural crops: Insights from the implementation of AGRIDE-c in central Italy A. Scorzini et al. 10.1016/j.ijdrr.2020.101999
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107. Climate change, urban development, and community perception of an extreme flood: A case study of Vernonia, Oregon, USA R. Tripathi et al. 10.1016/j.apgeog.2013.11.007
108. The failed-levee effect: Do societies learn from flood disasters? R. Collenteur et al. 10.1007/s11069-014-1496-6
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111. Flood Risk Management in Flanders: Past Developments and Future Challenges W. Kellens et al. 10.1007/s11269-013-0366-4
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