Data inputs for hazards models – Dominica, 2017-2025
Description
Science Case Name |
Multi-hazards in the Caribbean SIDS |
Dataset Title |
Data inputs for hazards models – Dominica, 2017-2025 |
Dataset Description |
This record presents geospatial datasets (soil, land use, DEM, vegetation parameters, etc.) ready to be used as model input for OpenLISEM and LISEM Hazard or FastFlood. The projection of each file is in UTM20N. Some key files are:
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Key Methodologies |
Customization of open-source datasets, generation of vegetation parameters and land cover classification. |
Temporal Domain |
2017-2025 |
Spatial Domain |
Dominica |
Key Indicators |
Flood, soil, vegetation |
Data Format |
The raster files are either in Geotiff format or PCraster map format. |
Source Data |
Multi-source |
Accessibility |
Zenodo, 10.5281/zenodo.15224885 |
Stakeholder Relevance |
Relevant input for hazard mapping, physically-based modelling, and understanding hazard processes on Dominica |
Limitations/Assumptions |
Some datasets depend on lower quality/global datasets, and are not specifically calibrated for the island. Others, such as soil depth, infiltration, soil textures, flood extents and vegetation properties, are all in some part verified and tweaked to represent local measurements. See for a methodological description the Msc Thesis work of students at UT-ITC between 2017 and 2025. |
Contact Information |
Bout, Bastian van den (UT-ITC) |
Files
Additional details
Funding
- European Space Research Institute
- EO4Multihazards (Earth Observation for High-Impact Multi-Hazards Science), funded by the European Space Agency and launched as part of the joint ESA-European Commission Earth System Science Initiative