Articles | Volume 11, issue 2
https://doi.org/10.5194/essd-11-529-2019
© Author(s) 2019. 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-11-529-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The Global Fire Atlas of individual fire size, duration, speed and direction
Biospheric Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Department of Earth System Science, University of California, Irvine,
CA 92697, USA
Douglas C. Morton
Biospheric Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Louis Giglio
Department of Geographical Sciences, University of Maryland, College
Park, MD 20742, USA
Ronan Paugam
Centre Européen de Recherche et de Formation Avancée en Calcul
Scientifique, URA1875, CNRS, Toulouse, France
Yang Chen
Department of Earth System Science, University of California, Irvine,
CA 92697, USA
Stijn Hantson
Department of Earth System Science, University of California, Irvine,
CA 92697, USA
Guido R. van der Werf
Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the
Netherlands
James T. Randerson
Department of Earth System Science, University of California, Irvine,
CA 92697, USA
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- Daily prediction modeling of forest fire ignition using meteorological drought indices in the Mexican highlands A. Vilchis-Francés et al. 10.3832/ifor3623-014
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- A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images M. Pinto et al. 10.1016/j.isprsjprs.2019.12.014
- 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
- Assessing the accuracy of remotely sensed fire datasets across the southwestern Mediterranean Basin L. Galizia et al. 10.5194/nhess-21-73-2021
- Global intercomparison of functional pyrodiversity from two satellite sensors M. Moreno et al. 10.1080/01431161.2021.1999529
- Understanding fire regimes in Europe L. Galizia et al. 10.1071/WF21081
- A remote sensing-based approach to estimating the fire spread rate parameter for individual burn patch extraction M. Humber et al. 10.1080/01431161.2022.2027544
- Building a machine learning surrogate model for wildfire activities within a global Earth system model Q. Zhu et al. 10.5194/gmd-15-1899-2022
- Spatiotemporal changes in forest loss and its linkage to burned areas in China Z. Wu et al. 10.1007/s11676-019-01062-0
- Assessing the Accuracy of MODIS MCD64A1 C6 and FireCCI51 Burned Area Products in Mediterranean Ecosystems T. Katagis & I. Gitas 10.3390/rs14030602
- What shapes fire size and spread in African savannahs? S. Takacs et al. 10.1002/rse2.212
- Multi-Unmanned-Aerial-Vehicle Wildfire Boundary Estimation Using a Semantic Segmentation Neural Network J. Castagno et al. 10.2514/1.I010912
- Spatiotemporal data analysis with chronological networks L. Ferreira et al. 10.1038/s41467-020-17634-2
- Geospatial Modeling of Containment Probability for Escaped Wildfires in a Mediterranean Region M. Rodrigues et al. 10.1111/risa.13524
- Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. 10.1029/2019RG000675
- Predicting the influence of climate on grassland area burned in Xilingol, China with dynamic simulations of autoregressive distributed lag models A. Shabbir et al. 10.1371/journal.pone.0229894
- Global fire emissions buffered by the production of pyrogenic carbon M. Jones et al. 10.1038/s41561-019-0403-x
- A Survey on Robotic Technologies for Forest Firefighting: Applying Drone Swarms to Improve Firefighters’ Efficiency and Safety J. Roldán-Gómez et al. 10.3390/app11010363
- Negligible Quantities of Particulate Low‐Temperature Pyrogenic Carbon Reach the Atlantic Ocean via the Amazon River C. Häggi et al. 10.1029/2021GB006990
- Carbon and nitrogen dynamics in tropical ecosystems following fire D. Jiang et al. 10.1111/geb.13422
- Air quality measurements in the western Eagle Ford Shale G. Roest et al. 10.1525/elementa.414
- Open data repositories and Geo Small Data for mapping the wildfire risk exposure in wildland urban interface (WUI) in Spain: A case study in the Valencian Region J. Navarro-Carrión et al. 10.1016/j.rsase.2021.100500
- Improving the south America wildfires smoke estimates: Integration of polar-orbiting and geostationary satellite fire products in the Brazilian biomass burning emission model (3BEM) G. Pereira et al. 10.1016/j.atmosenv.2022.118954
- Economic drivers of global fire activity: A critical review using the DPSIR framework Y. Kim et al. 10.1016/j.forpol.2021.102563
- Analysis of how the spatial and temporal patterns of fire and their bioclimatic and anthropogenic drivers vary across the Amazon rainforest in El Niño and non-El Niño years M. Singh & X. Zhu 10.7717/peerj.12029
- Intercomparison of Burned Area Products and Its Implication for Carbon Emission Estimations in the Amazon A. Pessôa et al. 10.3390/rs12233864
- African burned area and fire carbon emissions are strongly impacted by small fires undetected by coarse resolution satellite data R. Ramo et al. 10.1073/pnas.2011160118
- Wildfire response to changing daily temperature extremes in California’s Sierra Nevada A. Gutierrez et al. 10.1126/sciadv.abe6417
- Satellite remote sensing of active fires: History and current status, applications and future requirements M. Wooster et al. 10.1016/j.rse.2021.112694
- Beyond Deforestation: Carbon Emissions From Land Grabbing and Forest Degradation in the Brazilian Amazon S. Kruid et al. 10.3389/ffgc.2021.645282
- A multi-year and high-resolution inventory of biomass burning emissions in tropical continents from 2001–2017 based on satellite observations Y. Shi et al. 10.1016/j.jclepro.2020.122511
- Model-Based Estimation of Amazonian Forests Recovery Time after Drought and Fire Events B. De Faria et al. 10.3390/f12010008
- Increasing heat and rainfall extremes now far outside the historical climate A. Robinson et al. 10.1038/s41612-021-00202-w
- Frequent burning in chir pine forests, Uttarakhand, India P. Fulé et al. 10.1186/s42408-021-00106-3
- Diagnosing spatial biases and uncertainties in global fire emissions inventories: Indonesia as regional case study T. Liu et al. 10.1016/j.rse.2019.111557
- Spatio-temporal patterns of extreme fires in Amazonian forests A. Cano-Crespo et al. 10.1140/epjs/s11734-021-00164-3
- Altered growth conditions more than reforestation counteracted forest biomass carbon emissions 1990–2020 J. Le Noë et al. 10.1038/s41467-021-26398-2
- Vegetation fires in the Anthropocene D. Bowman et al. 10.1038/s43017-020-0085-3
- ABWiSE v1.0: toward an agent-based approach to simulating wildfire spread J. Katan & L. Perez 10.5194/nhess-21-3141-2021
- Tropical Dry Forest Resilience to Fire Depends on Fire Frequency and Climate M. Hartung et al. 10.3389/ffgc.2021.755104
- Fire from the Sky in the Anthropocene P. Fernandes et al. 10.3390/fire4010013
- Criteria-Based Identification of Important Fuels for Wildland Fire Emission Research A. Watts et al. 10.3390/atmos11060640
4 citations as recorded by crossref.
- Analysis fire patterns and drivers with a global SEVER-FIRE v1.0 model incorporated into dynamic global vegetation model and satellite and on-ground observations S. Venevsky et al. 10.5194/gmd-12-89-2019
- Palaeo-trajectories of forest savannization in the southern Congo J. Aleman et al. 10.1098/rsbl.2019.0284
- Global search for temporal shifts in fire activity: potential human influence on southwest Russia and north Australia fire seasons T. Liu et al. 10.1088/1748-9326/abe328
- Influence of Fire on the Carbon Cycle and Climate G. Lasslop et al. 10.1007/s40641-019-00128-9
Latest update: 31 May 2023
Short summary
Natural and human-ignited fires affect all major biomes, and satellite observations provide evidence for rapid changes in global fire activity. The Global Fire Atlas of individual fire size, duration, speed, and direction is the first global data product on individual fire behavior. Moving towards a global understanding of individual fire behavior is a critical next step in fire research, required to understand how global fire regimes are changing in response to land management and climate.
Natural and human-ignited fires affect all major biomes, and satellite observations provide...