There is a newer version of the record available.

Published March 10, 2026 | Version v9
Dataset Open

Wildfire CE - Data for Fuel and Fire Modelling

  • 1. ROR icon University of Padua
  • 2. Forest Science and Technology Centre of Catalonia (CTFC)

Description

This repository collects data needed for modelling fire behaviour and further wildfire danger maps at  pilot regions for the Wildfire CE project. 

NOTE ============

Version from 9 onwards uses the 10 m canopy height (CH) layer from:

  • Lang, Nico, et al.. "A high-resolution canopy height model of the Earth." arXiv preprint arXiv:2204.08322 (2022)

as opposed to: 1 m resolution layer from:

  • Tolan, J., et al. 2024. Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar. Remote Sensing of Environment, 300, p.113888.

to estimate  Canopy Base Height, Canopy Bulk Density and Canopy Height. The latter CH layer presented strips of empty data and underestimated CH values in valleys and areas with low direct illumination. 

For also the same data clipped to pilot sites, (they are spatially contained in pilot regions), please use this link.

For direct visualization please use the GEE app https://progetto-eu-h2020-cirgeo.projects.earthengine.app/view/wildfire.

Data layers

  • raster of Canopy Height Model (m)
  • raster of Canopy Base Height (m)
  • raster of Canopy Bulk Density (kg/m3)
  • raster of Topography DEM (m a.s.l.) from   https://doi.org/10.5281/zenodo.4056634
  • raster of Topography Slope (percentage)
  • raster of Topography Aspect (degrees with respect to North, clockwise direction)
  • vector of Roads from Open Street Map (https://wiki.openstreetmap.org/wiki/Key:highway)
  • vector of Pilot Sites area and of Pilot Regions
  • raster of Fuel Models according to Scott&Burgan Scott JH, Burgan RE (2005) Standard fire behavior fuel models: A comprehensive set for use with Rothermel’s surface fire spread model. USDA Forest Service - General Technical Report RMRS-GTR 1–76. doi:10.2737/RMRS-GTR-153

Other layers

  • FuelModel_ScottBurganClasses.(qml,sld) QML (QGIS style file) and SLD (Styled Layer Descriptor file) for Fuel Models

Files naming convention

The file naming without the extents uses the following syntax:  <group>_<NUTS-IDs>_<layer> 

<group>
       Areas are grouped in  pilot regions or pilot sites (in this version only pilot regions).
       Examples:
          pilotRegions      = regional-scale datasets 
          pilotSites        =   localized study areas
 <NUTS-IDs>
       NUTS codes of participating countries separated by '-'
       Examples:
           AT-CZ     = Austria / Czech Republic
           IT-SI     = Italy / Slovenia 
           DE-CZ     = Germany / Czech Republic 
 <layer>
       short, lowercase descriptors using underscores between levels of description
       Examples:
           topography_dem
           topography_slopeDegrees
           canopy_canopyBaseHeight
           canopy_canopyBulkDensity  

Grid alignment 

All data are in the coordinate reference system EPSG:3035 ETRS89-extended / LAEA Europe and grid cells are at 30 x 30 m cells. It is an equal-area  projection, it preserves areas across its bounds so each pixel is 900 m2.  Axes origin is at 10° East and 52° North and the false Easting and Northing are respectively 4321000 m and 3210000 m . All 30 m cells are aligned to this origin, i.e. a 30x30 m cell at the origin will have its cell center at 4321015 m E and 3210015 m N and the left-bottom corner at 4321000 m E and 3210000 m N.

Formats

All raster files are at 30 m cell resolution in GeoTIFF with LZW compression in 32 bit floating point values and cloud-optimized (pyramid internal layers). - only rasters with fuel Models are in 8-bit integer format.

All vector files are in Geopackage format.

 

 

Files

pilotRegions_AT-CZ_canopy_canopyBaseHeight.tif

Files (2.6 GB)

Name Size Download all
md5:d9a801d0d96696ec00af8e1c1ed179e6
12.3 kB Download
md5:15f56d6d161002a52770575b6deda569
5.8 kB Download
md5:b86b1b67effd8d11cee36378f48c9db8
66.2 MB Preview Download
md5:3fae541612f51787d68cecd607bfc19c
95.2 MB Preview Download
md5:9209a10768f1c2749c18101f4739e9c2
151.7 MB Preview Download
md5:ad59fe7a8d79a8b1e6f5a31e81e762c7
43.2 MB Preview Download
md5:ef250764be2b589ebd8b26d893350365
37.9 MB Preview Download
md5:49a88de2e536d5807fbdc33ee3d67888
111.8 MB Download
md5:1a1fa228e423e5d25a0d9531bdbe69fd
151.7 MB Preview Download
md5:22c6ae41d7ec944224467f81c7e2f10a
151.7 MB Preview Download
md5:e1db57014c9bdcc15a705cbdf076a050
303.3 MB Preview Download
md5:7b3c82291ce97944e243580e906467f6
96.9 MB Preview Download
md5:de4246dc826d9b519a3f361ca4d820f3
104.1 MB Preview Download
md5:17394bce9f4f428114f557cb065b4fb3
117.5 MB Preview Download
md5:4b81aa7255be358c2d0bc2301e4d249e
52.1 MB Preview Download
md5:7f4528985af1098f2d091e663d84a7ac
29.3 MB Preview Download
md5:266250aa83e9ed89fe5f3c5ef9da7f17
130.8 MB Download
md5:50e111d2ff56a7f398a6763abdd0a51b
117.5 MB Preview Download
md5:e8585fd990cee89a4dac2e3e8eb148bf
117.5 MB Preview Download
md5:b3fb9df191ac02c3f4cd3df957f20852
234.9 MB Preview Download
md5:82db9ab1e65e5fb1aafcded026cd50c7
35.0 MB Preview Download
md5:7010df0854e25eec90ded75796fd8347
46.9 MB Preview Download
md5:c5d1d65384b47190e90296236b26883b
60.6 MB Preview Download
md5:be984ee6a8bb2dc12b4a625e79a34118
20.6 MB Preview Download
md5:12c7d73350086fff10aba35d17419871
15.1 MB Preview Download
md5:4593c1b3849555796f8117a5debf5d8c
64.6 MB Download
md5:2222d7ef32da23e23393d37aeb780afe
60.6 MB Preview Download
md5:d83f7018c3fd5a5aaa86ea3cad2206de
60.6 MB Preview Download
md5:75b5d4d77b8e6c56ee28395a1bc211e7
121.2 MB Preview Download
md5:c41e32701ae1fc74c55f4be9de1ec8f5
159.7 kB Download
md5:db7d4dcff36b0c966a23e92063efd156
438.3 kB Download

Additional details

Related works

Continues
Journal article: 10.1080/10095020.2024.2429376 (DOI)
Journal article: 10.1016/j.geomat.2024.100036 (DOI)