European Forest Canopy Fuel Load and Bulk Density at 1 km Resolution

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.

Provenance

Source

Aragoneses, Elena; e-cienciaDatos Harvested Dataverse

Collection Method

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