Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Enhancement of large-scale flood damage assessments using building-material-based vulnerability curves for an object-based approach

Domaine:

climategeospatial
Créateur:
JohHanChaMar
Éditeur:
Cop
Hôte:
Abstract. In this study, we developed an enhanced approach for large-scale flood damage and risk assessments that uses characteristics of buildings and the built environment as object-based information to represent exposure and vulnerability to flooding. Most current large-scale assessments use an aggregated land-use category to represent the exposure, treating all exposed elements the same. For large areas where previously only coarse information existed such as in Africa, more detailed exposure data is becoming available. For our approach, a direct relation between the construction type and building material of the exposed elements is used to develop vulnerability curves. We further present a method to differentiate flood risk in urban and rural areas based on characteristics of the built environment. We applied the model to Ethiopia, and found that rural flood risk accounts for about 22 % of simulated damages; rural damages are generally neglected in the typical land-use-based damage models particularly at this scale. Our approach is particularly interesting for studies in areas where there is a large variation in construction types in the building stock, such as developing countries. It also enables comparison across different natural hazard types that also use material-based vulnerability, paving the way to the enhancement of multi-risk assessments.

Visit

doi.org

Licenses

https://creativecommons.org/licenses/by/4.0/

Similaires

Understanding Flood Vulnerability in Local Communities of Kogi State, Nigeria, Using an Index-Based ApproachMultiple criteria-based assessments of Nature-Based Solutions for flood management: a reviewIS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance SamplingImproving flood damage assessments in data-scarce areas by retrieving building characteristics through automated UAV image processingFlood Impact and Damage Assessment Based on the Sentitnel-1 SAR Data Using Google Earth EngineA Bayesian approach for estimating typhoid fever incidence from large-scale facility-based passive surveillance data.

Understanding Flood Vulnerability in Local Communities of Kogi State, Nigeria, Using an Index-Based Approach

In West Africa, the impacts of flooding are becoming more severe with climate warming. Flood-prone c

Multiple criteria-based assessments of Nature-Based Solutions for flood management: a review

Increased flooding frequency and intensity threaten vulnerable populations’ lives and live

IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling

Object detection in high-resolution satellite imagery is emerging as a scalable alternative to on-th

Improving flood damage assessments in data-scarce areas by retrieving building characteristics through automated UAV image processing

<p><span><span>Reliable information on building stock and

Flood Impact and Damage Assessment Based on the Sentitnel-1 SAR Data Using Google Earth Engine

A Bayesian approach for estimating typhoid fever incidence from large-scale facility-based passive surveillance data.

Funder: Public Health Research Programme; Id: http://dx.doi.org/10.13039/501100001921 Decisions abou