Articles | Volume 13, issue 7
https://doi.org/10.5194/bg-13-2061-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-2061-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Apr 2016
Research article |
| 08 Apr 2016
Generation of a global fuel data set using the Fuel Characteristic Classification System
M. Lucrecia Pettinari
CORRESPONDING AUTHOR
Department of Geology, Geography and Environment, University of Alcala, Alcalá de Henares, 28801, Spain
Emilio Chuvieco
Department of Geology, Geography and Environment, University of Alcala, Alcalá de Henares, 28801, Spain
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34 citations as recorded by crossref.
- Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models M. Forkel et al. 10.5194/bg-16-57-2019
- The global drivers of wildfire O. Haas et al. 10.3389/fenvs.2024.1438262
- Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models L. Teckentrup et al. 10.5194/bg-16-3883-2019
- Fire Behavior Simulation from Global Fuel and Climatic Information M. Pettinari & E. Chuvieco 10.3390/f8060179
- Fire Danger Observed from Space M. Pettinari & E. Chuvieco 10.1007/s10712-020-09610-8
- Up in Smoke: Most Aerosolized Fe From Biomass Burning Does Not Derive From Foliage L. Tegler et al. 10.1029/2023GB007796
- A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1) M. Forkel et al. 10.5194/gmd-10-4443-2017
- Characterizing Global Fire Regimes from Satellite-Derived Products M. García et al. 10.3390/f13050699
- Reconciling Assumptions in Bottom‐Up and Top‐Down Approaches for Estimating Aerosol Emission Rates From Wildland Fires Using Observations From FIREX‐AQ E. Wiggins et al. 10.1029/2021JD035692
- Fuel-Specific Aggregation of Active Fire Detections for Rapid Mapping of Forest Fire Perimeters in Mexico C. Briones-Herrera et al. 10.3390/f13010124
- A national fuel type mapping method improvement using sentinel-2 satellite data A. Stefanidou et al. 10.1080/10106049.2020.1756460
- Global rise in forest fire emissions linked to climate change in the extratropics M. Jones et al. 10.1126/science.adl5889
- Continental-scale quantification of post-fire vegetation greenness recovery in temperate and boreal North America J. Yang et al. 10.1016/j.rse.2017.07.022
- Generation and Mapping of Fuel Types for Fire Risk Assessment E. Aragoneses & E. Chuvieco 10.3390/fire4030059
- A Comparison of Multitemporal Airborne Laser Scanning Data and the Fuel Characteristics Classification System for Estimating Fuel Load and Consumption T. McCarley et al. 10.1029/2021JG006733
- The importance of antecedent vegetation and drought conditions as global drivers of burnt area A. Kuhn-Régnier et al. 10.5194/bg-18-3861-2021
- Classification and mapping of European fuels using a hierarchical, multipurpose fuel classification system E. Aragoneses et al. 10.5194/essd-15-1287-2023
- Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project S. Hantson et al. 10.5194/gmd-13-3299-2020
- Increasing Fuel Loads, Fire Hazard, and Carbon Emissions from Fires in Central Siberia E. Kukavskaya et al. 10.3390/fire6020063
- Wild, tamed, and domesticated: Three fire macroregimes for global pyrogeography in the Anthropocene J. Pereira et al. 10.1002/eap.2588
- Integrating Arid Areas in the Global Bioeconomy: Opportunities and Challenges toward Sustainable Biomass Generation and Management B. Tardy et al. 10.1021/acssuschemeng.3c01853
- Investigation of the Fire Radiative Energy Biomass Combustion Coefficient: A Comparison of Polar and Geostationary Satellite Retrievals Over the Conterminous United States F. Li et al. 10.1002/2017JG004279
- An Automatic Procedure for Forest Fire Fuel Mapping Using Hyperspectral (PRISMA) Imagery: A Semi-Supervised Classification Approach R. Shaik et al. 10.3390/rs14051264
- Global ecosystems and fire: Multi‐model assessment of fire‐induced tree‐cover and carbon storage reduction G. Lasslop et al. 10.1111/gcb.15160
- Wildland fire fuels database for Corsican - Mediterranean Forest stand types Y. Pérez-Ramirez et al. 10.1016/j.foreco.2024.122002
- Data-Driven Wildfire Spread Modeling of European Wildfires Using a Spatiotemporal Graph Neural Network M. Rösch et al. 10.3390/fire7060207
- Modelling biomass burning emissions and the effect of spatial resolution: a case study for Africa based on the Global Fire Emissions Database (GFED) D. van Wees & G. van der Werf 10.5194/gmd-12-4681-2019
- Overwintering fires in boreal forests R. Scholten et al. 10.1038/s41586-021-03437-y
- Fuel type mapping using object-based image analysis of DMC and Landsat-8 OLI imagery A. Stefanidou et al. 10.1080/10106049.2017.1333532
- Eco‐evolutionary optimality as a means to improve vegetation and land‐surface models S. Harrison et al. 10.1111/nph.17558
- Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing D. Hamilton et al. 10.1038/s41467-018-05592-9
- Mapping China’s Forest Fire Risks with Machine Learning Y. Shao et al. 10.3390/f13060856
- Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 2: Carbon emissions and the role of fires in the global carbon balance C. Yue et al. 10.5194/gmd-8-1321-2015
- Does inherent flammability of grass and litter fuels contribute to continental patterns of landscape fire activity? L. Prior et al. 10.1111/jbi.12889
32 citations as recorded by crossref.
- Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models M. Forkel et al. 10.5194/bg-16-57-2019
- The global drivers of wildfire O. Haas et al. 10.3389/fenvs.2024.1438262
- Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models L. Teckentrup et al. 10.5194/bg-16-3883-2019
- Fire Behavior Simulation from Global Fuel and Climatic Information M. Pettinari & E. Chuvieco 10.3390/f8060179
- Fire Danger Observed from Space M. Pettinari & E. Chuvieco 10.1007/s10712-020-09610-8
- Up in Smoke: Most Aerosolized Fe From Biomass Burning Does Not Derive From Foliage L. Tegler et al. 10.1029/2023GB007796
- A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1) M. Forkel et al. 10.5194/gmd-10-4443-2017
- Characterizing Global Fire Regimes from Satellite-Derived Products M. García et al. 10.3390/f13050699
- Reconciling Assumptions in Bottom‐Up and Top‐Down Approaches for Estimating Aerosol Emission Rates From Wildland Fires Using Observations From FIREX‐AQ E. Wiggins et al. 10.1029/2021JD035692
- Fuel-Specific Aggregation of Active Fire Detections for Rapid Mapping of Forest Fire Perimeters in Mexico C. Briones-Herrera et al. 10.3390/f13010124
- A national fuel type mapping method improvement using sentinel-2 satellite data A. Stefanidou et al. 10.1080/10106049.2020.1756460
- Global rise in forest fire emissions linked to climate change in the extratropics M. Jones et al. 10.1126/science.adl5889
- Continental-scale quantification of post-fire vegetation greenness recovery in temperate and boreal North America J. Yang et al. 10.1016/j.rse.2017.07.022
- Generation and Mapping of Fuel Types for Fire Risk Assessment E. Aragoneses & E. Chuvieco 10.3390/fire4030059
- A Comparison of Multitemporal Airborne Laser Scanning Data and the Fuel Characteristics Classification System for Estimating Fuel Load and Consumption T. McCarley et al. 10.1029/2021JG006733
- The importance of antecedent vegetation and drought conditions as global drivers of burnt area A. Kuhn-Régnier et al. 10.5194/bg-18-3861-2021
- Classification and mapping of European fuels using a hierarchical, multipurpose fuel classification system E. Aragoneses et al. 10.5194/essd-15-1287-2023
- Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project S. Hantson et al. 10.5194/gmd-13-3299-2020
- Increasing Fuel Loads, Fire Hazard, and Carbon Emissions from Fires in Central Siberia E. Kukavskaya et al. 10.3390/fire6020063
- Wild, tamed, and domesticated: Three fire macroregimes for global pyrogeography in the Anthropocene J. Pereira et al. 10.1002/eap.2588
- Integrating Arid Areas in the Global Bioeconomy: Opportunities and Challenges toward Sustainable Biomass Generation and Management B. Tardy et al. 10.1021/acssuschemeng.3c01853
- Investigation of the Fire Radiative Energy Biomass Combustion Coefficient: A Comparison of Polar and Geostationary Satellite Retrievals Over the Conterminous United States F. Li et al. 10.1002/2017JG004279
- An Automatic Procedure for Forest Fire Fuel Mapping Using Hyperspectral (PRISMA) Imagery: A Semi-Supervised Classification Approach R. Shaik et al. 10.3390/rs14051264
- Global ecosystems and fire: Multi‐model assessment of fire‐induced tree‐cover and carbon storage reduction G. Lasslop et al. 10.1111/gcb.15160
- Wildland fire fuels database for Corsican - Mediterranean Forest stand types Y. Pérez-Ramirez et al. 10.1016/j.foreco.2024.122002
- Data-Driven Wildfire Spread Modeling of European Wildfires Using a Spatiotemporal Graph Neural Network M. Rösch et al. 10.3390/fire7060207
- Modelling biomass burning emissions and the effect of spatial resolution: a case study for Africa based on the Global Fire Emissions Database (GFED) D. van Wees & G. van der Werf 10.5194/gmd-12-4681-2019
- Overwintering fires in boreal forests R. Scholten et al. 10.1038/s41586-021-03437-y
- Fuel type mapping using object-based image analysis of DMC and Landsat-8 OLI imagery A. Stefanidou et al. 10.1080/10106049.2017.1333532
- Eco‐evolutionary optimality as a means to improve vegetation and land‐surface models S. Harrison et al. 10.1111/nph.17558
- Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing D. Hamilton et al. 10.1038/s41467-018-05592-9
- Mapping China’s Forest Fire Risks with Machine Learning Y. Shao et al. 10.3390/f13060856
2 citations as recorded by crossref.
- Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 2: Carbon emissions and the role of fires in the global carbon balance C. Yue et al. 10.5194/gmd-8-1321-2015
- Does inherent flammability of grass and litter fuels contribute to continental patterns of landscape fire activity? L. Prior et al. 10.1111/jbi.12889
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Latest update: 15 Nov 2024
Short summary
This paper presents the first global fuel data set, containing all the parameters required to be input in the Fuel Characteristic Classification System (FCCS). It was developed from different spatial variables, both based on satellite Earth Observation products and fuel databases.
This data set could be used for different applications, including fire danger assessment, fire behavior estimations, fuel consumption calculations and emissions inventories.
This paper presents the first global fuel data set, containing all the parameters required to be...
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