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8. A Systematic Review on Case Studies of Remote-Sensing-Based Flood Crop Loss Assessment M. Rahman & L. Di https://doi.org/10.3390/agriculture10040131
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15. Building Asset Value Mapping in Support of Flood Risk Assessments: A Case Study of Shanghai, China J. Wu et al. https://doi.org/10.3390/su11040971
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30. Flood vulnerability assessment of residential buildings by explicit damage process modelling R. Custer & K. Nishijima https://doi.org/10.1007/s11069-015-1725-7
31. Assessing entrepreneurial and regional‐economic flood impacts on a globalized production facility C. Pfurtscheller & M. Vetter https://doi.org/10.1111/jfr3.12102
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52. Modelling the socio-economic impact of river floods in Europe L. Alfieri et al. https://doi.org/10.5194/nhess-16-1401-2016
53. Damage and protection cost curves for coastal floods within the 600 largest European cities B. Prahl et al. https://doi.org/10.1038/sdata.2018.34
54. Efficient GIS-based model-driven method for flood risk management and its application in central China Y. Liu et al. https://doi.org/10.5194/nhess-14-331-2014
55. Flood damage assessment of an urban area in Taiwan Y. Chen et al. https://doi.org/10.1007/s11069-016-2362-5
56. Damage estimation of subterranean building constructions due to groundwater inundation – the GIS-based model approach GRUWAD R. Schinke et al. https://doi.org/10.5194/nhess-12-2865-2012
57. Assessing the impact of climate change on flood inundation and agriculture in the Himalayan Mountainous Region of Bhutan P. Syldon et al. https://doi.org/10.1016/j.ejrh.2024.101687
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61. Evaluating Catchment-Scale Physically Based Modeling of Sediment Deposition During an Extreme Rainfall Event S. Emtehani et al. https://doi.org/10.3390/geosciences16020088
62. Valuing the storm surge protection service of US Gulf Coast wetlands E. Barbier & B. Enchelmeyer https://doi.org/10.1080/21606544.2013.876370
63. Establishment of flood damage function model for rural roads: A case study in the Teesta River basin, Bangladesh S. Haque et al. https://doi.org/10.1016/j.pdisas.2022.100269
64. Statistical model for economic damage from pluvial floods in Japan using rainfall data and socioeconomic parameters R. Bhattarai et al. https://doi.org/10.5194/nhess-16-1063-2016
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68. Flood risk assessment for delta mega-cities: a case study of Jakarta Y. Budiyono et al. https://doi.org/10.1007/s11069-014-1327-9
69. Landslide Loss and Damage in Sindhupalchok District, Nepal: Comparing Income Groups with Implications for Compensation and Relief K. van der Geest https://doi.org/10.1007/s13753-018-0178-5
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71. Regional assessment of extreme sea levels and associated coastal flooding along the German Baltic Sea coast J. Kiesel et al. https://doi.org/10.5194/nhess-23-2961-2023
72. Flood damage: a model for consistent, complete and multipurpose scenarios S. Menoni et al. https://doi.org/10.5194/nhess-16-2783-2016
73. Hazus: A standardized methodology for flood risk assessment in Canada M. Nastev & N. Todorov https://doi.org/10.1080/07011784.2013.801599
74. Regional economic impacts of natural hazards – the case of the 2005 Alpine flood event in Tyrol (Austria) C. Pfurtscheller https://doi.org/10.5194/nhess-14-359-2014
75. Decision-tree analysis of factors influencing rainfall-related building structure and content damage M. Spekkers et al. https://doi.org/10.5194/nhess-14-2531-2014
76. Impacts of major floods on new human respiratory health symptoms in indoor environments M. Pakdehi et al. https://doi.org/10.1016/j.jclepro.2026.148247
77. Hybrid Genetic Algorithm-Based Approach for Estimating Flood Losses on Structures of Buildings T. Hanák et al. https://doi.org/10.3390/su12073047
78. A Time-Integrated Index for Flood Risk to Resistance Capacity O. Rezende et al. https://doi.org/10.3390/w11071321
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83. The relevance of flood hazards and impacts in Turkey: What can be learned from different disaster loss databases? G. Koç & A. Thieken https://doi.org/10.1007/s11069-017-3134-6
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85. Building treatments for urban flood inundation models and implications for predictive skill and modeling efficiency J. Schubert & B. Sanders https://doi.org/10.1016/j.advwatres.2012.02.012
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116. Are interactions important in estimating flood damage to economic entities? The case of wine-making in France D. Nortes Martínez et al. https://doi.org/10.5194/nhess-21-3057-2021
117. Mapping of flood hazard induced by land subsidence in Semarang City, Indonesia, using hydraulic and spatial models B. Yuwono et al. https://doi.org/10.1007/s11069-023-06398-9
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885. Comparing Flood Damages to an Industrial Region in Turkey Using Several Methods P. Spor & E. Doğan https://doi.org/10.1142/S2382624X2350011X
886. The Manning’s Roughness Coefficient Calibration Method to Improve Flood Hazard Analysis in the Absence of River Bathymetric Data: Application to the Urban Historical Zamora City Centre in Spain J. Garrote et al. https://doi.org/10.3390/app11199267
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893. Assessing Stream Bank Erosion with a Visual Assessment Protocol in Streams Around Drama City, Greece G. Pagonis et al. https://doi.org/10.3390/land14101963
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896. Sustainable materials selection based on flood damage assessment for a building using LCA and LCC A. Balasbaneh et al. https://doi.org/10.1016/j.jclepro.2019.03.005
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900. Event generation for probabilistic flood risk modelling: multi-site peak flow dependence model vs. weather-generator-based approach B. Winter et al. https://doi.org/10.5194/nhess-20-1689-2020
901. Loss levels regarding flood affected areas in the upper Citarum Watershed . Fernandos et al. https://doi.org/10.1088/1755-1315/561/1/012027
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906. Urban waterlogging in coastal cities: a composite multicriteria index approach from Bangladesh M. Kauser et al. https://doi.org/10.1007/s11069-026-07993-2
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910. Quantitative micro-scale flood risk assessment in a section of the Trotuș River, Romania R. Țîncu et al. https://doi.org/10.1016/j.landusepol.2019.02.040
911. Improving flood impact estimations T. Sieg & A. Thieken https://doi.org/10.1088/1748-9326/ac6d6c
912. Flood Impacts on Agriculture under Climate Change: The case of the Awanui Catchment, New Zealand U. Djanibekov et al. https://doi.org/10.1007/s41885-024-00147-3
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924. Hydrological and hydrodynamic decision support tools for assessing nature-based flood solutions: Technical modelling recommendations and challenges M. Sedighkia et al. https://doi.org/10.1016/j.envsoft.2026.107040
925. Potential Impacts of Sea-Level Rise and Land-Use Change on Special Flood Hazard Areas and Associated Risks D. Habete & C. Ferreira https://doi.org/10.1061/(ASCE)NH.1527-6996.0000262
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928. Spatiotemporal changes of manufacturing firms in the flood prone Yangtze Delta S. Jiao et al. https://doi.org/10.1080/17477891.2021.1988502
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931. The utility of using Volunteered Geographic Information (VGI) for evaluating pluvial flood models M. Drews et al. https://doi.org/10.1016/j.scitotenv.2023.164962
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933. The utilization of physically based models and GIS techniques for comprehensive risk assessment of storm surge: A case study of Huizhou S. Wang et al. https://doi.org/10.3389/fmars.2022.939380
934. Methodological Framework for Analysing Cascading Effects from Flood Events: The Case of Sukhumvit Area, Bangkok, Thailand G. Hilly et al. https://doi.org/10.3390/w10010081
935. A new bivariate risk classifier for flood management considering hazard and socio-economic dimensions M. Mohanty et al. https://doi.org/10.1016/j.jenvman.2019.109733
936. Prolonged Financial Distress After the Deepwater Horizon Oil Spill Predicts Behavioral Health S. Buckingham-Howes et al. https://doi.org/10.1007/s11414-018-9602-2
937. Geomorphic Assessment of Flood Hazard within the Urban Area of Chanchaga Local Government Area, Minna, NIGERIA E. Adesina et al. https://doi.org/10.30897/ijegeo.877629
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941. Performance evaluation of potential inland flood management options through a three-way linked hydrodynamic modelling framework for a coastal urban watershed M. Ghosh et al. https://doi.org/10.2166/nh.2020.123
942. Survey data of damaged residential buildings and business premises from the 2022 record-breaking flood in the Marche region, Italy S. Rrokaj et al. https://doi.org/10.5194/essd-17-6487-2025
943. Uncertainty and Sensitivity Analysis of the HAZUS-MH Flood Model E. Tate et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000167
944. Flood and Tsunami Damage Indices Based on Remotely Sensed Data: An Application to Indonesia E. Skoufias et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000325
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947. A Study on the Development of Loss Function for Local River Facilities S. Hwang et al. https://doi.org/10.9798/KOSHAM.2019.19.6.197
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949. Unveiling the Multi-Dimensional Vulnerabilities of Flood-Affected Communities in Khyber Pakhtunkhwa, Pakistan W. Ullah et al. https://doi.org/10.3390/w17020198
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951. Estimation of flood losses to agricultural crops using remote sensing F. Tapia-Silva et al. https://doi.org/10.1016/j.pce.2011.03.005
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953. The Use of Unmanned Aerial Vehicles to Estimate Direct Tangible Losses to Residential Properties from Flood Events: A Case Study of Cockermouth Following the Desmond Storm M. Rivas Casado et al. https://doi.org/10.3390/rs10101548
954. On the Influence of the Main Floor Layout of Buildings in Economic Flood Risk Assessment: Results from Central Spain J. Garrote & N. Bernal https://doi.org/10.3390/w12030670
955. 3D visualization of hurricane storm surge impact on urban infrastructure X. Ye et al. https://doi.org/10.1007/s44212-024-00043-x
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957. Comprehensive geospatial approaches to delineate near real-time (NRT) flood inundation and damage assessment of Tripura, India T. Jaman et al. https://doi.org/10.1016/j.ijdrr.2025.105547
958. Dependent Infrastructure Service Disruption Mapping (DISruptionMap): A method to assess cascading service disruptions in disaster scenarios M. Schneider et al. https://doi.org/10.1038/s41598-025-89469-0