Exposure of buildings to flood – Saint-Louis, Senegal

Demonstration Case Name: Multi-hazards in Senegal (transferability case)

Dataset Name/Title: Exposure of buildings to flood - Saint-Louis, Senegal

Dataset Description: Exposure analysis of buildings

Key Methodologies: Flood water heights were simulated with the FastFloodApp. The storm was simulated as the worst-case scenario, as if three flood types, pluvial (24 mm/h in 3 hours), fluvial (54000 m3/s) and coastal (0.59 m a.s.l.), co-occurred.

Building occupancy type was determined querrying Overpass API withing building footprints.

The exposure analysis was conducted at riskchanges.org

Temporal Domain: N/A

Spatial Domain: Saint-Louis region, Senegal, GeoTiff file and shape files EPSG:3857

Key Variables/Indicators: flood water height, buildings classified per occupancy type, buildings exposure

Data Format: The hazard data is in GeoTiff files; building types and exposure analysis results are zip files containing ESRI Shapefiles.

Source Data: OpenStreetMap, Google Open Buildings, Microsoft ML Building

Accessibility: http://doi.org/10.5281/zenodo.17116754

Stakeholder Relevance: Used for determining which buildings are most endangered for flood events, as a basis for early warning and risk-informed planning

Limitations/Assumptions: Disclaimer – This dataset is provided solely for research purposes. It is based on available data and has not been verified or approved by any local authority. The dataset represents the outcome of the applied methodology and research judgments, and does not reflect the official policies or positions of the authorities of Dominica.

Additional Outputs/Information: The dataset access is currently restricted due to pending related publication.

Contact Information: Egor Prikaziuk (UT-ITC, Faculty of Geo-Information Science and Earth Observation, ITC, University of Twente, the Netherlands)