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Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Data inputs for hazards models – Dominica, 2017-2025

Authors: van den Bout, Bastian;

Data inputs for hazards models – Dominica, 2017-2025

Abstract

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: dem.map -elevation model, the height of the landscape in meters above sea level. lai.map - leaf area index, estimated using empirical relationships based on NDVI (Normalized Difference Vegetation Index)). The source data to calculate NDVI is Sentinel-2. KSat.map - Saturated hydraulic conductivity of the soil, estimated based on a combination of SOILGRIDS soil texture, Saxton et al. (2006) Pedotransfer functions, and a national soil map for Dominica. clay.map - Clay texture fraction, SoilGrids resampling silt.map - Silt texture fraction, SoilGrids resampling sand.map - Sand texture fraction, SoilGrids resampling cover.map - Vegetation cover as a fraction, estimated using linear correlation with NDVI. lu_new.map - Spot satellite image classification at 10 meters resolution for predominant land use types. n.map - Mannings surface roughness coefficient, specific value based on the land use type. ndvi.map - Normalized Differential Vegetation Index, based on Sentinel-2 images in summer. ldd.map - Drainage network map for the island, which can be used for flow accumulation and streamflow detection catchments.map - Catchment ID's based on the ldd.map drainage network. Channelldd.map - Channel-only drainage network map, calibrated manually to have all channels on the island represented correctly. Soildepth - Soil depth in meters, based on a physically-based soil depth model in meters and observational data obtained from landslide-sites during fieldwork in 2018. Slope.map - Slope map in gradient of the elevation model (m/m) in the steepest direction 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)

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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