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Description
The Global Fire Atlas is a global dataset that tracks the day-to-day dynamics of individual fires to determine the timing and location of ignitions, fire size, duration, daily expansion, fire line length, speed, and direction of spread. These individual fire characteristics were derived based on the Global Fire Atlas algorithm and estimated day of burn information at 500-m resolution from the Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6 MCD64A1 burned area product. The algorithm identified 13.3 million individual fires (>=21 ha or 0.21 km2; the size of one MODIS pixel) over the 2003-2016 study period.
THE OAK RIDGE NATIONAL LABORATORY (ORNL) DISTRIBUTED ACTIVE ARCHIVE CENTER (DAAC) (ORNL_DAAC)
Concept ID
C2389158955-ORNL_CLOUD
Data State
COMPLETE
Number of Files/Granules
182
Processing Level
4
Published
Updated
Science Keywords
Burned Area
,
Fire Dynamics
,
Fire Occurrence
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
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Andela, N., Morton, D. C., Giglio, L., & Randerson, J. T. (2019). Global Fire Atlas with Characteristics of Individual Fires, 2003-2016 (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/1642
Date Accessed: 2026-10-30
@article{Andela_Morton_Giglio_Randerson_2019,
title={Global Fire Atlas with Characteristics of Individual Fires, 2003-2016},
url={https://www.earthdata.nasa.gov/data/catalog/ornl-cloud-cms-global-fire-atlas-1642-1},
DOI={10.3334/ORNLDAAC/1642},
abstractNote={The Global Fire Atlas is a global dataset that tracks the day-to-day dynamics of individual fires to determine the timing and location of ignitions, fire size, duration, daily expansion, fire line length, speed, and direction of spread. These individual fire characteristics were derived based on the Global Fire Atlas algorithm and estimated day of burn information at 500-m resolution from the Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6 MCD64A1 burned area product. The algorithm identified 13.3 million individual fires (>=21 ha or 0.21 km2; the size of one MODIS pixel) over the 2003-2016 study period.},
publisher={ORNL Distributed Active Archive Center},
author={Andela, N. and Morton, D.C. and Giglio, L. and Randerson, J.T.},
year={2019},
language={en},
}
Andela, N., D.C. Morton, L. Giglio, and J.T. Randerson. “Global Fire Atlas with Characteristics of Individual Fires, 2003-2016.” ORNL Distributed Active Archive Center, January 1, 2019. doi:10.3334/ORNLDAAC/1642.
Date Accessed: 2026-10-30
Andela, N., et al. “Global Fire Atlas with Characteristics of Individual Fires, 2003-2016.” With ORNL DAAC, Version 1, ORNL Distributed Active Archive Center, 1 Jan. 2019, https://doi.org/10.3334/ORNLDAAC/1642.
Date Accessed: 2026-10-30
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Kelley, Douglas I., Burton, Chantelle, Di Giuseppe, Francesca, Jones, Matthew W., Barbosa, Maria L. F., Brambleby, Esther, McNorton, Joe R., Liu, Zhongwei, Bradley, Anna S. I., Blackford, Katie, Burke, Eleanor, Ciavarella, Andrew, Di Tomaso, Enza, Eden, Jonathan, Ferreira, Igor Jose M., Fiedler, Lukas, Hartley, Andrew J., Keeping, Theodore R., Lampe, Seppe, Lombardi, Anna, Mataveli, Guilherme, Qu, Yuquan, Silva, Patricia S., Spuler, Fiona R., Steinmann, Carmen B., Torres-Vazquez, Miguel Angel, Veiga, Renata, van Wees, Dave, Wessel, Jakob B., Wright, Emily, Bilbao, Bibiana, Bourbonnais, Mathieu, Gao, Cong, Di Bella, Carlos M., Dintwe, Kebonye, Donovan, Victoria M., Harris, Sarah, Kukavskaya, Elena A., N'Dri, Aya Brigitte, Santin, Cristina, Selaya, Galia, Sjostrom, Johan, Abatzoglou, John T., Andela, Niels, Carmenta, Rachel, Chuvieco, Emilio, Giglio, Louis, Hamilton, Douglas S., Hantson, Stijn, Meier, Sarah, Parrington, Mark, Sadegh, Mojtaba, San-Miguel-Ayanz, Jesus, Sedano, Fernando, Turco, Marco, van der Werf, Guido R., Veraverbeke, Sander, Anderson, Liana O., Clarke, Hamish, Fernandes, Paulo M., Kolden, Crystal A.
Barber, Quinn E., Jain, Piyush, Whitman, Ellen, Thompson, Dan K., Guindon, Luc, Parks, Sean A., Wang, Xianli, Hethcoat, Matthew G., Parisien, Marc-Andre