Preprints
https://doi.org/10.5194/essd-2026-116
https://doi.org/10.5194/essd-2026-116
19 Mar 2026
 | 19 Mar 2026
Status: this preprint is currently under review for the journal ESSD.

CONFEX: A Database for CONUS Fire EXtent

Raja Zubair Zahoor Qadiri and Diego Cerrai

Abstract. This article presents the CONUS Fire EXtent (CONFEX) database. CONFEX is based on the VIIRS S-NPP 375 m active fire product and provides wildfire perimeters, centroids, ignition locations, and start and end dates for 2012–2024 across CONUS and Alaska. The algorithm extracts hotspot detections from VIIRS S-NPP, clusters them into fire events using a spatio-temporal DBSCAN approach and derives a perimeter polygon and centroid for each event, assigning event-level attributes. When evaluated against MTBS using regional area-threshold filters, the algorithm obtained area-based F1 scores of 67 % (western CONUS; >1000 acres), 77 % (Alaska; >1000 acres), and 26 % (eastern CONUS; >500 acres); and when evaluated against California FRAP (excluding the 2020 tuning year), an area-based F1 of 69 % was found, demonstrating the ability to aggregate VIIRS hotspots into spatially and temporally coherent fire events.  To our knowledge, CONFEX is the first publicly available, moderately high-resolution wildfire-extent dataset developed for the CONUS and Alaska regions using the VIIRS S-NPP 375 m active fire product. The database provides a valuable resource for researchers to study fire regimes in CONUS and Alaska.

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Raja Zubair Zahoor Qadiri and Diego Cerrai

Status: open (until 25 Apr 2026)

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Raja Zubair Zahoor Qadiri and Diego Cerrai

Data sets

CONFEX: CONUS and Alaska Fire EXtent database Raja Zubair Zahoor Qadiri and Diego Cerrai https://data.mendeley.com/datasets/sk6jwy7xmg/3

Raja Zubair Zahoor Qadiri and Diego Cerrai
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Latest update: 19 Mar 2026
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Short summary
Wildfire information is often scattered. We created an open database of individual wildfires across the CONUS and Alaska from 2012 to 2024. Using hotspot detections from the Suomi National Polar-orbiting Partnership satellite, we grouped detections into single events and mapped each wildfire’s perimeter, location, and start and end dates. Checks against independent records show good agreement. The dataset supports studies of wildfire trends, risk, emissions, air quality, and planning.
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