Earth  ID: 4993

Spread of the Dixie Fire - 2021

This visualization highlights data from a new fire detection and tracking approach (Chen et al., 2022) based on near-real time active fire detections from the VIIRS sensor on the Suomi-NPP satellite. Every 12 hours, the fire tracking algorithm uses new active fire detections to update the total fire perimeter and estimate the position of active fire lines where the fire may continue to spread. Yellow lines indicate the new fire fronts from active fire data (red points) every 12 hours. This approach provides a detailed perspective on the behavior of the Dixie fire, the largest fire in California history. The fire tracking data identify periods of rapid fire expansion, spot fires from blowing embers outside of the large fire perimeter, and active fire detections within the perimeter from continued flaming and smoldering behind the active fire fronts. In total, the Dixie fire burned for more than 100 days, including more than a month of fire activity after the perimeter was contained in mid-September.

For more details, see the paper here.

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Visualization Credits

Lead Scientist:
Doug C. Morton (NASA/GSFC)

Lead Visualizer:
Cindy Starr (Global Science and Technology, Inc.)

Horace Mitchell (NASA/GSFC)
Michala Garrison (SSAI)
Andrew J Christensen (SSAI)
Greg Shirah (NASA/GSFC)
Kel Elkins (USRA)
Alex Kekesi (Global Science and Technology, Inc.)

Technical Support:
Laurence Schuler (ADNET Systems, Inc.)
Ian Jones (ADNET Systems, Inc.)

Please give credit for this item to:
NASA's Scientific Visualization Studio

Science Paper:
Chen, Y., Hantson, S., Andela, N. et al. California wildfire spread derived using VIIRS satellite observations and an object-based tracking system. Sci Data 9, 249 (2022).

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Data Used:
Landsat-8/OLI/TIRS/Band Combination 4-3-2
Observed Data - USGS - 7/11/2021 - 7/11/2021
Suomi-NPP/VIIRS/California Wildfire Spread Derived using VIIRS Observations and an Object-based Tracking System also referred to as: California Wildfire Spread Derived using VIIRS Observations and an Object-based Tracking System
07/14/2021 - 10/22/2021
Chen, Yang; Hantson, Stijn; Andela, Niels; Coffield, Shane; Graff, Casey; Morton, Douglas C.; et al. (2022): A Dataset of California Wildfire Spread Derived Using VIIRS Observations and an Object-based Tracking System. figshare. Collection.
Note: While we identify the data sets used in these visualizations, we do not store any further details nor the data sets themselves on our site.

SVS >> Fire Management
DLESE >> Human geography
DLESE >> Natural hazards
GCMD >> Earth Science >> Human Dimensions >> Natural Hazards >> Fires
SVS >> Hyperwall
SVS >> Biosphere >> Ecological Dynamics >> Fire Occurrence
NASA Science >> Earth
GCMD >> Earth Science >> Human Dimensions >> Environmental Governance/management >> Fire Management

GCMD keywords can be found on the Internet with the following citation: Olsen, L.M., G. Major, K. Shein, J. Scialdone, S. Ritz, T. Stevens, M. Morahan, A. Aleman, R. Vogel, S. Leicester, H. Weir, M. Meaux, S. Grebas, C.Solomon, M. Holland, T. Northcutt, R. A. Restrepo, R. Bilodeau, 2013. NASA/Global Change Master Directory (GCMD) Earth Science Keywords. Version