Articles | Volume 24, issue 5
https://doi.org/10.5194/nhess-24-1681-2024
https://doi.org/10.5194/nhess-24-1681-2024
Research article
 | 
14 May 2024
Research article |  | 14 May 2024

The value of multi-source data for improved flood damage modelling with explicit input data uncertainty treatment: INSYDE 2.0

Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini

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This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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Cited articles

Albano, R., Sole, A., Adamowski, J., Perrone, A., and Inam, A.: Using FloodRisk GIS freeware for uncertainty analysis of direct economic flood damages in Italy, Int. J. Appl. Earth. Obs., 73, 220–229, https://doi.org/10.1016/j.jag.2018.06.019, 2018. 
Amadio, M., Scorzini, A. R., Carisi, F., Essenfelder, A. H., Domeneghetti, A., Mysiak, J., and Castellarin, A.: Testing empirical and synthetic flood damage models: the case of Italy, Nat. Hazards Earth Syst. Sci., 19, 661–678, https://doi.org/10.5194/nhess-19-661-2019, 2019. 
Apel, H., Merz, B., and Thieken, A. H.: Quantification of uncertainties in flood risk assessments, Int. J. River Basin Manag., 6, 149–162, https://doi.org/10.1080/15715124.2008.9635344, 2008. 
Autorità di Bacino del Fiume Po: Aggiornamento e revisione del Piano di Gestione del Rischio di Alluvione – II ciclo (2021–2027), Final report, https://pianoalluvioni.adbpo.it/piano-gestione-rischio-alluvioni-2021/ (last access: 9 October 2023), 2022. 
Bhuyan, K., Van Westen, C., Wang, J., and Meena, S. R.: Mapping and characterising buildings for flood exposure analysis using open-source data and artificial intelligence, Nat. Hazards, 119, 805–835, https://doi.org/10.1007/s11069-022-05612-4, 2023. 
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Short summary
INSYDE 2.0 is a tool for modelling flood damage to residential buildings. By incorporating ultra-detailed survey and desk-based data, it improves the reliability and informativeness of damage assessments while addressing input data uncertainties.
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