Inundation Modeling in Data Scarce Regions

TL;DR

This paper presents a scalable, cost-efficient flood inundation modeling system designed for data-scarce regions, aiming to improve flood forecasting in developing countries with limited resources.

Contribution

It introduces an operational flood extent forecast system tailored for regions with scarce data, enhancing global flood management capabilities.

Findings

Provides flood forecast maps for Indian regions

Demonstrates scalability and cost-efficiency

Supports flood risk mitigation efforts

Abstract

Flood forecasts are crucial for effective individual and governmental protective action. The vast majority of flood-related casualties occur in developing countries, where providing spatially accurate forecasts is a challenge due to scarcity of data and lack of funding. This paper describes an operational system providing flood extent forecast maps covering several flood-prone regions in India, with the goal of being sufficiently scalable and cost-efficient to facilitate the establishment of effective flood forecasting systems globally.