Reports Outline Risk Management Study Findings from University of Liege (A Comparative Assessment of Flood Mapping Methods for Urban Risk Management In Data-poor Environments): Risk Management

2025 SEP 19 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- New research on Risk Management is the subject of a report. According to news reporting originating from Liege, Belgium, by NewsRx correspondents, research stated, “Flood mapping is essential to urban resilience, but it often relies on traditional hydrological models, which are poorly suited to data-scarce contexts due to their complexity and input requirements. This study, conducted in Antananarivo, Madagascar, evaluates alternative approaches combining remote sensing (Pleiades and Sentinel-1), simplified hydrological modeling (Fast Flood Simulation-FFS), and multicriteria analysis (MCA), with validation from field observations.”

Financial supporters for this research include Fonds de la Recherche Scientifique - FNRS, ESA Network of Resources Initiative.

Our news editors obtained a quote from the research from the University of Liege, “The results show contrasting performances: FFS (10 cm threshold) detected 45% of flooded zones in the urban center, while Sentinel-1 identified only 3% due to poor performance in dense built-up areas. Pleiades was also affected by structural artifacts, despite its high resolution. MCA identified 40% of the city as being highly vulnerable. In agricultural zones, FFS captured over 80% of flooded areas, compared to 56% for MCA and less than 10% for Sentinel-1. In residential neighborhoods, flooded building detection ranged from under 1% (Sentinel-1) to 27% (FFS) and 37% (MCA). Overall, FFS emerged as the most suitable tool, providing flood depth estimates for operational decision-making, but its reliability depends heavily on input data quality and calibration processes. Satellite imagery offers complementary post-crisis validation but remains limited in dense urban environments. MCA supports strategic planning but cannot model event-specific dynamics.”

According to the news editors, the research concluded: “Combined within a GIS platform or interactive dashboard, these tools provide complementary capabilities across risk management phases-prevention (FFS, remote sensing, MCA), crisis response (FFS), and reconstruction (FFS, remote sensing)-offering decision-support solutions adapted to data-poor environments.”

This research has been peer-reviewed.

For more information on this research see: A Comparative Assessment of Flood Mapping Methods for Urban Risk Management In Data-poor Environments. Natural Hazards, 2025. Natural Hazards can be contacted at: Springer, One New York Plaza, Suite 4600, New York, Ny, United States. (Springer - www.springer.com; Natural Hazards - http://www.springerlink.com/content/0921-030x/)

The news editors report that additional information may be obtained by contacting Fenosoa Nantenaina Ramiaramanana, University of Liege, Local Environm Management & Anal Lema, Liege, Belgium. Additional authors for this research include Jacques Teller, Jane-marie Muthoni Munyi and Pierre Archambeau.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1007/s11069-025-07590-9. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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