European Forest Canopy Fuel Load and Bulk Density at 1 km Resolution
by Aragoneses, Elena / e-cienciaDatos Harvested Dataverse·Updated 7mo ago
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Description
European spatially explicit data on forest canopy fuel load and canopy bulk density at a 1 km² grid resolution. The dataset comprises 4 maps, including the two fuel parameters and their associated uncertainties, generated using a multi-sensor approach integrating GEDI LiDAR, Landsat 8, and PALSAR SAR imagery with machine learning. It was created by Aragoneses, Elena and colleagues, with the supporting publication dated 2025.
Use Cases
Modeling wildfire propagation based on canopy fuel load and canopy bulk density parameters.
Estimating wildfire emissions based on spatially explicit canopy fuel characteristics.
Assessing continental-scale wildfire risk based on forest canopy fuel parameters.
Validating or complementing categorical fuel type maps based on continuous canopy fuel estimates.
Strengths
Provides two key canopy fuel parameters (CFL and CBD) critical for fire behavior modeling.
Covers the European territory at a consistent 1 km spatial resolution.
Includes pixel-level uncertainty estimates for the spatial extrapolation.
Uses a multi-sensor approach integrating spaceborne LiDAR, multispectral, and SAR data.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Multi-sensor approach integrating GEDI LiDAR, Landsat 8, PALSAR SAR imagery, and biophysical variables, with machine learning for spatial extrapolation.
Time Range
null
Freshness
Last updated 2025-10-14 21:56:14; freshness should be verified.
Geography
European territory
License is unknown; terms of use must be verified before application.