Improving Flood Resilience through Data-Driven Safety Nets in Chad

Améliorer la résilience aux inondations au Tchad: le rôle des filets sociaux basés sur les données

Pierre Biscaye ()
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Pierre Biscaye: CERDI - Centre d'Études et de Recherches sur le Développement International - IRD - Institut de Recherche pour le Développement - CNRS - Centre National de la Recherche Scientifique - UCA - Université Clermont Auvergne

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Abstract: Chad is one of the most climate-vulnerable nations in the world. As temperatures climb and rainfall becomes more variable, the frequency of devastating floods has turned a seasonal threat into a recurring national crisis. This report analyzes fifteen years of flooding data to understand where the risk is greatest and where populations are facing growing dangers. By merging data on flooding from satellite imagery and household surveys, the research identifies critical gaps in current flood detection and adds to the evidence on the adverse household impacts of flood exposure. The findings are being used by the Chadian government and partners such as the World Bank to refine their national safety net programs, ensuring that emergency relief reaches the most vulnerable communities faster and more effectively.

Keywords: Remote sensing; Vulnerability; Social protection; Floods; Climate change; Chad; Tchad; Changement climatique; Inondations; Protection sociale; Vulnérabililtés; Télédétection (search for similar items in EconPapers)
Date: 2026-02-11
New Economics Papers: this item is included in nep-env
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Published in 2026

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