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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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13. Review article: Assessing the costs of natural hazards – state of the art and knowledge gaps V. Meyer et al. https://doi.org/10.5194/nhess-13-1351-2013
14. Detecting floodplain inundation based on the upstream–downstream relationship T. Zhao & Q. Shao https://doi.org/10.1016/j.jhydrol.2015.09.056
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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21. Climate Change Adaptation: Evaluating Simple Alternatives to Real Options Analysis G. Guthrie https://doi.org/10.2139/ssrn.4613300
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27. Estimating damage costs of flooding on small- and medium-sized enterprises in Kigali, Rwanda A. Tsinda et al. https://doi.org/10.4102/jamba.v11i1.755
28. Assessment of flood loss model transferability considering changes in precaution of flood-affected residents in Germany S. Kienzler et al. https://doi.org/10.1051/e3sconf/20160713002
29. Dynamic impact analysis of masonry buildings subjected to flood actions P. Lonetti & R. Maletta https://doi.org/10.1016/j.engstruct.2018.03.076
30. Hotspots and drivers of flood damage in Assam, India: A spatio-temporal assessment of flood-induced damage and their driving factors A. Banerjee et al. https://doi.org/10.1016/j.ijdrr.2026.106266
31. Flood vulnerability assessment of residential buildings by explicit damage process modelling R. Custer & K. Nishijima https://doi.org/10.1007/s11069-015-1725-7
32. 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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53. Modelling the socio-economic impact of river floods in Europe L. Alfieri et al. https://doi.org/10.5194/nhess-16-1401-2016
54. 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
55. 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
56. Flood damage assessment of an urban area in Taiwan Y. Chen et al. https://doi.org/10.1007/s11069-016-2362-5
57. 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
58. 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. Smart Video Analytics Solution to Identify Urban Floodborne Objects U. Iqbal et al. https://doi.org/10.1061/JCCEE5.CPENG-6526
62. Evaluating Catchment-Scale Physically Based Modeling of Sediment Deposition During an Extreme Rainfall Event S. Emtehani et al. https://doi.org/10.3390/geosciences16020088
63. Valuing the storm surge protection service of US Gulf Coast wetlands E. Barbier & B. Enchelmeyer https://doi.org/10.1080/21606544.2013.876370
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65. 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
66. Dredging versus hedging: Comparing hard infrastructure to ecosystem-based adaptation to flooding A. Daigneault et al. https://doi.org/10.1016/j.ecolecon.2015.11.023
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69. 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
70. 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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72. Consistent economic cross-sectoral climate change impact scenario analysis: Method and application to Austria K. Steininger et al. https://doi.org/10.1016/j.cliser.2016.02.003
73. 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
74. Flood damage: a model for consistent, complete and multipurpose scenarios S. Menoni et al. https://doi.org/10.5194/nhess-16-2783-2016
75. Hazus: A standardized methodology for flood risk assessment in Canada M. Nastev & N. Todorov https://doi.org/10.1080/07011784.2013.801599
76. 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
77. 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
78. 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
79. Hybrid Genetic Algorithm-Based Approach for Estimating Flood Losses on Structures of Buildings T. Hanák et al. https://doi.org/10.3390/su12073047
80. 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. Effects of digital terrain model uncertainties on high‐resolution urban flood damage assessment C. Arrighi & L. Campo https://doi.org/10.1111/jfr3.12530
84. Evaluation of Flood Hazards and Impacts on the Environment: A Case Study of Louisville, Kentucky, USA, Using Remote Sensing and Geographic Information Systems (GIS) A. ATAWODI et al. https://doi.org/10.36108/esj/4202.30.0140
85. 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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87. 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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118. 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
119. 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
120. Using web-based observations to identify thresholds of a person's stability in a flow L. Milanesi et al. https://doi.org/10.1002/2016WR019182
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896. An agricultural flash flood loss estimation methodology: the case study of the Koiliaris basin (Greece), February 2003 flood A. Vozinaki et al. https://doi.org/10.1007/s11069-015-1882-8
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898. Comparing Flood Damages to an Industrial Region in Turkey Using Several Methods P. Spor & E. Doğan https://doi.org/10.1142/S2382624X2350011X
899. 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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905. Estimating flood damage to railway infrastructure – the case study of the March River flood in 2006 at the Austrian Northern Railway P. Kellermann et al. https://doi.org/10.5194/nhess-15-2485-2015
906. 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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913. 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
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919. 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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923. After the extreme flood in 2002: changes in preparedness, response and recovery of flood-affected residents in Germany between 2005 and 2011 S. Kienzler et al. https://doi.org/10.5194/nhess-15-505-2015
924. 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
925. Improving flood impact estimations T. Sieg & A. Thieken https://doi.org/10.1088/1748-9326/ac6d6c
926. 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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938. 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
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942. 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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949. 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
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955. 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
956. 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
957. Uncertainty and Sensitivity Analysis of the HAZUS-MH Flood Model E. Tate et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000167
958. 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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