Articles | Volume 16, issue 3
Data description paper
15 Mar 2024
Data description paper |  | 15 Mar 2024

Systematically tracking the hourly progression of large wildfires using GOES satellite observations

Tianjia Liu, James T. Randerson, Yang Chen, Douglas C. Morton, Elizabeth B. Wiggins, Padhraic Smyth, Efi Foufoula-Georgiou, Roy Nadler, and Omer Nevo

Data sets

GOES-Observed Fire Event Representation (GOFER) product for 28 California wildfires from 2019-2021 T. Liu et al.

Short summary
To improve our understanding of extreme wildfire behavior, we use geostationary satellite data to develop the GOFER algorithm and track the hourly fire progression of large wildfires. GOFER fills a key temporal gap present in other fire tracking products that rely on low-Earth-orbit imagery and reveals considerable variability in fire spread rates on diurnal timescales. We create a product of hourly fire perimeters, active-fire lines, and fire spread rates for 28 fires in California.
Final-revised paper