Global Fire Emissions Database

Global Fire Emissions Database
Name	Global Fire Emissions Database
Abbreviation	GFED
Established	2004
Type	Research dataset
Focus	Biomass burning emissions, remote sensing
Headquarters	Not applicable
Website	Not displayed

Global Fire Emissions Database is a satellite-derived dataset that quantifies trace gas and aerosol emissions from biomass burning by integrating remote sensing, land cover, and biogeochemical modeling. It is widely used by National Aeronautics and Space Administration, National Oceanic and Atmospheric Administration, European Space Agency, United Nations Environment Programme and national research institutes to link fire activity with atmospheric composition, climate forcing, and carbon cycle assessments. GFED underpins analyses in interdisciplinary projects involving Intergovernmental Panel on Climate Change, World Meteorological Organization, NASA Earth Observing System, and major university consortia.

Overview

GFED combines observations from sensors such as Moderate Resolution Imaging Spectroradiometer, Advanced Very High Resolution Radiometer, Visible Infrared Imaging Radiometer Suite, and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations with land cover maps like MODIS Land Cover, GlobCover, and European Space Agency Climate Change Initiative products to estimate emissions. The dataset links to atmospheric chemistry models including GEOS-Chem, Community Earth System Model, and ECHAM for attribution of radiative forcing and transport. GFED has informed assessments by Intergovernmental Panel on Climate Change Working Groups, regional studies by Amazon Environmental Research Institute, and policy analyses used by United Nations Framework Convention on Climate Change negotiators.

Methodology

GFED methodology integrates burned area detection, fuel load estimation, combustion completeness, and emission factor assignments. Burned area detection relies on active-fire algorithms developed for MODIS and methods from FIRMS and Global Fire Atlas, complemented by gap-filling approaches used in Landsat and Sentinel-2 analyses. Fuel load estimation uses biome-specific productivity inputs from models such as Biome-BGC, CARBONES, and data from Food and Agriculture Organization forest inventories and Global Land Cover Facility maps. Combustion completeness and emission factors draw on field campaigns like FLAME and literature syntheses used by Emission Database for Global Atmospheric Research and Scientific Committee on Antarctic Research-linked studies. Core steps are implemented with code and workflows influenced by initiatives at Jet Propulsion Laboratory, National Center for Atmospheric Research, and Potsdam Institute for Climate Impact Research.

Data Products and Formats

GFED releases gridded monthly and daily emissions of carbon dioxide, carbon monoxide, methane, particulate matter, and non-methane volatile organic compounds, provided in formats compatible with Network Common Data Form, GeoTIFF, and CSV tables. Spatial resolutions vary from 0.25° to 0.5°, with specialized higher-resolution products for regional studies coordinated with European Centre for Medium-Range Weather Forecasts and NASA Earth Exchange. Metadata conventions align with standards from Committee on Earth Observation Satellites and archives at NASA Goddard Space Flight Center and National Snow and Ice Data Center. Ancillary datasets include burned area maps, fuel consumption layers, and biome classifications cross-referenced to Land Use Harmonization inputs used by climate model intercomparison projects like CMIP.

Validation and Uncertainty

Validation combines comparison with ground-based inventories compiled by Food and Agriculture Organization, flux tower networks such as FLUXNET, smoke plume measurements from campaigns associated with Aerosol Robotic Network and aircraft missions led by NASA DC-8 and NOAA WP-3D Orion. Model–measurement intercomparisons involve chemical transport models including GEOS-Chem and CMAQ and satellite retrievals from OMI, MOPITT, and TROPOMI. Uncertainty quantification addresses sources from burned area detection, fuel load variability, emission factor heterogeneity, and temporal aggregation—methodologies informed by studies at Stockholm University, University of California, Berkeley, and Imperial College London.

Applications and Use Cases

GFED underlies research on carbon budget attribution in studies by IPCC authors, regional air quality assessments used by Health Effects Institute, and climate forcing estimates in projects at Lawrence Berkeley National Laboratory and Pacific Northwest National Laboratory. It supports operational air quality forecasting systems at NOAA, emissions inventories for national reporting to UNFCCC, and ecological analyses by Smithsonian Tropical Research Institute and CERN-affiliated climate teams. GFED outputs are integrated into biodiversity impact modeling led by World Wildlife Fund and land management planning by agencies such as Brazilian Institute of Environment and Renewable Natural Resources and Australian Bureau of Meteorology.

Limitations and Criticisms

Criticisms of GFED focus on under-detection of small and smoldering fires in tropical peatlands documented in studies from University of Leicester and National University of Singapore, mismatches with country-level reporting highlighted by European Environment Agency audits, and uncertainties in emission factors for savanna and deforestation fires debated in literature from Wageningen University and University of Oxford. Temporal consistency issues arise when sensor records shift across missions like Terra to Sentinel-3. Users caution against naive use in local-scale regulatory applications without regional calibration, as noted by researchers at University of California, Los Angeles and Centre National de la Recherche Scientifique.

History and Development

GFED originated from collaborations among teams at NASA Ames Research Center, University of Maryland, and Carnegie Institution for Science in the early 2000s, building on burned-area science developed at Global Land Cover Network and fire emission syntheses from the International Geosphere–Biosphere Programme. Major version milestones correspond to integration of new sensors—MODIS era GFED3, incorporation of satellite active-fire datasets during GFED4, and subsequent updates aligning with Sentinel mission data. Development has involved partners including Max Planck Institute for Chemistry, University of Zurich, and Monash University, with ongoing advances driven by field campaigns and community data standards from Group on Earth Observations and Committee on Earth Observation Satellites.

Category:Remote sensing datasets