Articles | Volume 15, issue 3
https://doi.org/10.5194/essd-15-1287-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-1287-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
22 Mar 2023
Data description paper |
| 22 Mar 2023
| 22 Mar 2023
Classification and mapping of European fuels using a hierarchical, multipurpose fuel classification system
Universidad de Alcalá, Environmental Remote Sensing Research Group, Departamento de Geología, Geografía y Medio Ambiente, Colegios 2, 28801 Alcalá de Henares, Spain
Mariano García
Universidad de Alcalá, Environmental Remote Sensing Research Group, Departamento de Geología, Geografía y Medio Ambiente, Colegios 2, 28801 Alcalá de Henares, Spain
Michele Salis
National Research Council (CNR), Institute of BioEconomy (IBE), Traversa La Crucca 3, 07100 Sassari, Italy
Luís M. Ribeiro
Universidade de Coimbra, Association for the Development of Industrial Aerodynamics (ADAI), Department of Mechanical Engineering, Rua Luís Reis Santos, Pólo II, 3030-788 Coimbra, Portugal
Emilio Chuvieco
Universidad de Alcalá, Environmental Remote Sensing Research Group, Departamento de Geología, Geografía y Medio Ambiente, Colegios 2, 28801 Alcalá de Henares, Spain
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Cited
16 citations as recorded by crossref.
- Developing customized fuel models for shrub and bracken communities in Galicia (NW Spain) J. Vega et al. 10.1016/j.jenvman.2023.119831
- High-Resolution Mapping of Litter and Duff Fuel Loads Using Multispectral Data and Random Forest Modeling Á. Chávez-Durán et al. 10.3390/fire7110408
- FIRE-RES Geo-Catch: a mobile application to support reliable fuel mapping at a pan-European scale E. Kutchartt et al. 10.3832/ifor4376-016
- A method to produce a flexible and customized fuel models dataset A. Sá et al. 10.1016/j.mex.2023.102218
- MTTfireCAL Package for R—An Innovative, Comprehensive, and Fast Procedure to Calibrate the MTT Fire Spread Modelling System B. Aparício et al. 10.3390/fire6060219
- Mapping forest canopy fuel parameters at European scale using spaceborne LiDAR and satellite data E. Aragoneses et al. 10.1016/j.rse.2024.114005
- Wildland fire fuels database for Corsican - Mediterranean Forest stand types Y. Pérez-Ramirez et al. 10.1016/j.foreco.2024.122002
- The fire weather in Europe: large-scale trends towards higher danger J. Hetzer et al. 10.1088/1748-9326/ad5b09
- Towards an Integrated Approach to Wildfire Risk Assessment: When, Where, What and How May the Landscapes Burn E. Chuvieco et al. 10.3390/fire6050215
- A European-scale analysis reveals the complex roles of anthropogenic and climatic factors in driving the initiation of large wildfires C. Ochoa et al. 10.1016/j.scitotenv.2024.170443
- A Novel Spectral–Spatial Methodology for Hierarchical Fuel Type Mapping in Mediterranean Ecosystems Using Sentinel-2 Timeseries and Auxiliary Thematic Data M. Sismanis et al. 10.3390/fire7110407
- Using FlamMap to assess wildfire behavior in Bohemian Switzerland National Park L. Kudláčková et al. 10.1007/s11069-023-06361-8
- The effect of broadleaf forests in wildfire mitigation in the WUI – A simulation study A. Oliveira et al. 10.1016/j.ijdrr.2023.103788
- Effects of bark beetle disturbance and fuel types on fire radiative power and burn severity in the Bohemian-Saxon Switzerland K. Beetz et al. 10.1093/forestry/cpae024
- Fuel Type Mapping Using a CNN-Based Remote Sensing Approach: A Case Study in Sardinia A. Carbone et al. 10.3390/fire6100395
- Assessment of the surface forest fuel load in the Ukrainian Polissia S. Sydorenko et al. 10.1186/s42408-024-00265-z
15 citations as recorded by crossref.
- Developing customized fuel models for shrub and bracken communities in Galicia (NW Spain) J. Vega et al. 10.1016/j.jenvman.2023.119831
- High-Resolution Mapping of Litter and Duff Fuel Loads Using Multispectral Data and Random Forest Modeling Á. Chávez-Durán et al. 10.3390/fire7110408
- FIRE-RES Geo-Catch: a mobile application to support reliable fuel mapping at a pan-European scale E. Kutchartt et al. 10.3832/ifor4376-016
- A method to produce a flexible and customized fuel models dataset A. Sá et al. 10.1016/j.mex.2023.102218
- MTTfireCAL Package for R—An Innovative, Comprehensive, and Fast Procedure to Calibrate the MTT Fire Spread Modelling System B. Aparício et al. 10.3390/fire6060219
- Mapping forest canopy fuel parameters at European scale using spaceborne LiDAR and satellite data E. Aragoneses et al. 10.1016/j.rse.2024.114005
- Wildland fire fuels database for Corsican - Mediterranean Forest stand types Y. Pérez-Ramirez et al. 10.1016/j.foreco.2024.122002
- The fire weather in Europe: large-scale trends towards higher danger J. Hetzer et al. 10.1088/1748-9326/ad5b09
- Towards an Integrated Approach to Wildfire Risk Assessment: When, Where, What and How May the Landscapes Burn E. Chuvieco et al. 10.3390/fire6050215
- A European-scale analysis reveals the complex roles of anthropogenic and climatic factors in driving the initiation of large wildfires C. Ochoa et al. 10.1016/j.scitotenv.2024.170443
- A Novel Spectral–Spatial Methodology for Hierarchical Fuel Type Mapping in Mediterranean Ecosystems Using Sentinel-2 Timeseries and Auxiliary Thematic Data M. Sismanis et al. 10.3390/fire7110407
- Using FlamMap to assess wildfire behavior in Bohemian Switzerland National Park L. Kudláčková et al. 10.1007/s11069-023-06361-8
- The effect of broadleaf forests in wildfire mitigation in the WUI – A simulation study A. Oliveira et al. 10.1016/j.ijdrr.2023.103788
- Effects of bark beetle disturbance and fuel types on fire radiative power and burn severity in the Bohemian-Saxon Switzerland K. Beetz et al. 10.1093/forestry/cpae024
- Fuel Type Mapping Using a CNN-Based Remote Sensing Approach: A Case Study in Sardinia A. Carbone et al. 10.3390/fire6100395
1 citations as recorded by crossref.
Latest update: 12 Nov 2024
Short summary
We present a new hierarchical fuel classification system with a total of 85 fuels that is useful for preventing fire risk at different spatial scales. Based on this, we developed a European fuel map (1 km resolution) using land cover datasets, biogeographic datasets, and bioclimatic modelling. We validated the map by comparing it to high-resolution data, obtaining high overall accuracy. Finally, we developed a crosswalk for standard fuel models as a first assignment of fuel parameters.
We present a new hierarchical fuel classification system with a total of 85 fuels that is useful...
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