Description
This series of historic flood susceptibility maps comes from an XGBboost machine learning model trained on major floods from 2005 to 2023. The trained model is then run for each year from 2000 to 2023, including unique temporal characteristics of temperature, precipitation, land use land cover and Normalized Difference Vegetation Index (NDVI), to predict the flood susceptibility of any given year.
This dataset forms part of a broader collection of flood susceptibility datasets, offering related information and analyses. The collection includes an overview page with associated publications, historic susceptibility values, temporal trends, and future projections.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Flood Susceptibility Maps – Historic (modelled based on historic observations) - 30 m | WMS | Open resource | |
| Cartes de susceptibilité aux inondations – Historique (modélisées à partir des observations historiques) – 30 m | WMS | Open resource | |
| SpatioTemporal Asset Catalog (STAC) Application Programming Interface (API) | JSON | Open resource | |
| Scientific Publication | HTML | Open resource | |
| SpatioTemporal Asset Catalog (STAC) browser | HTML | Open resource |