54 citations as recorded by crossref.

1. Analysis of pluvial flood damage costs in residential buildings – A case study in Malmö S. Mobini et al.
2. Characterizing precipitation events leading to surface water flood damage over large regions of complex terrain D. Bernet et al.
3. On the occurrence of rainstorm damage based on home insurance and weather data M. Spekkers et al.
4. Invited perspectives: How machine learning will change flood risk and impact assessment D. Wagenaar et al.
5. Insurance risk assessment in the face of climate change: Integrating data science and statistics V. Lyubchich et al.
6. Multi-variable flood damage modelling with limited data using supervised learning approaches D. Wagenaar et al.
7. Can urban pluvial flooding be predicted by open spatial data and weather data? S. Gaitan et al.
8. Surface water floods in Switzerland: what insurance claim records tell us about the damage in space and time D. Bernet et al.
9. Fluvial Flood Losses in the Contiguous United States Under Climate Change M. Rashid et al.
10. Study on Influencing Factors of Flood Damage to Single Houses using Field Survey Data C. Choi et al.
11. The impact of intense rainfall on insurance losses in two Swedish cities B. Blumenthal & L. Nyberg
12. A review of geospatial-based urban growth models and modelling initiatives S. Musa et al.
13. Multivariate pluvial flood damage models L. Van Ootegem et al.
14. Evaluating Flood Exposure for Properties in Urban Areas Using a Multivariate Modelling Technique G. Torgersen et al.
15. Hidden semi-Markov models for rainfall-related insurance claims Y. Shi et al.
16. Probabilistic Models Significantly Reduce Uncertainty in Hurricane Harvey Pluvial Flood Loss Estimates V. Rözer et al.
17. Multivariate Flood Loss Estimation of the 2018 Bago Flood in Myanmar W. Zin et al.
18. Assessment of the Physical Vulnerability of Vernacular Architecture to Meteorological Hazards Using an Indicator-Based Approach: The Case of the Kara Region in Northern Togo M. Awoussi et al.
19. A Disparate Disaster: Spatial Patterns of Building Damage Caused by Hurricane Ian and Associated Socio-Economic Factors M. Salim et al.
20. Residential flood loss estimated from Bayesian multilevel models G. Mohor et al.
21. Spatial Distribution of Flood Incidents Along Urban Overland Flow-Paths S. Gaitan et al.
22. Assessing present and future risk of water damage using building attributes, meteorology, and topography* C. Heinrich-Mertsching et al.
23. Karar Ağacı Yaklaşımı ile Doğal ve Geri Dönüştürülmüş Beton Agreganın Mesafe Bazlı Maliyet ve Emisyon Optimizasyonu M. Akbaş & R. İyisan
24. Opportunities for multivariate analysis of open spatial datasets to characterize urban flooding risks S. Gaitan & J. ten Veldhuis
25. Validation of flood risk models: Current practice and possible improvements D. Molinari et al.
26. Development and assessment of uni- and multivariable flood loss models for Emilia-Romagna (Italy) F. Carisi et al.
27. The use of insurance data in the analysis of Surface Water Flood events – A systematic review K. Gradeci et al.
28. Urban flood damage claim analyses for improved flood damage assessment S. Mobini et al.
29. Meteorological, impact and climate perspectives of the 29 June 2017 heavy precipitation event in the Berlin metropolitan area A. Caldas-Alvarez et al.
30. A generic physical vulnerability model for floods: review and concept for data-scarce regions M. Malgwi et al.
31. Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, Vietnam C. Luu et al.
32. Developing drought impact functions for drought risk management S. Bachmair et al.
33. Proxy Data of Surface Water Floods in Rural Areas: Application to the Evaluation of the IRIP Intense Runoff Mapping Method Based on Satellite Remote Sensing and Rainfall Radar A. Cerbelaud et al.
34. Characterization of damages in buildings after floods in Vega Baja County (Spain) in 2019. The case study of Almoradí municipality R. Moya Barbera et al.
35. A comparative survey of the impacts of extreme rainfall in two international case studies M. Spekkers et al.
36. Understanding the Costs of Inaction–An Assessment of Pluvial Flood Damages in Two European Cities H. Nicklin et al.
37. Testing empirical and synthetic flood damage models: the case of Italy M. Amadio et al.
38. Flood loss estimation using 3D city models and remote sensing data K. Schröter et al.
39. Developing a multivariable lookup table function for estimating flood damages of rice crop in Vietnam using a secondary research approach N. Nguyen et al.
40. Analyzing explanatory factors of urban pluvial floods in Shanghai using geographically weighted regression C. Wang et al.
41. Towards Sustainable and Resilient Infrastructure: Hurricane-Induced Roadway Closure and Accessibility Assessment in Florida Using Machine Learning S. Takyi et al.
42. GIS-based ensemble computational models for flood susceptibility prediction in the Quang Binh Province, Vietnam C. Luu et al.
43. Identification of Rainfall Thresholds Likely to Trigger Flood Damages across a Mediterranean Region, Based on Insurance Data and Rainfall Observations K. Papagiannaki et al.
44. Flood Damage Analysis Using Machine Learning Techniques . Snehil & R. Goel
45. Toward an adequate level of detail in flood risk assessments T. Sieg et al.
46. Modeling the extent of surface water floods in rural areas: Lessons learned from the application of various uncalibrated models D. Bernet et al.
47. Development of a flood damage mitigation index for flood management capacity assessment using regression function parameters H. Park & S. Seo
48. Empirical causal analysis of flood risk factors on U.S. flood insurance payouts:Implications for solvency and risk reduction A. Bhattacharyya & M. Hastak
49. Assessing the dependence between extreme rainfall and extreme insurance claims: A bivariate peak over threshold method Y. Shi
50. Understanding flood risk in the context of community resilience modeling for the built environment: research needs and trends O. Nofal & J. van de Lindt
51. Assessing the likelihood of drought impact occurrence with extreme gradient boosting: a case study on the public water supply in South Korea J. Seo & Y. Kim
52. Vulnerability of Buildings to Meteorological Hazards: A Web-Based Application Using an Indicator-Based Approach M. Papathoma-Köhle et al.
53. Assessing effects of nature-based and other municipal adaptation measures on insured heavy rain damages V. Ooms et al.
54. Coping with Pluvial Floods by Private Households V. Rözer et al.