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Peer-reviewedCC BY-NC-ND 4.0Scientific Data

A high spatial resolution daily fire perimeter progression dataset for wildfires in the Western United States: 2020–2024

  • Shayne Magstadt1
  • Rahul Wadhwani2,3
  • Matthew A. Whitley2,3
  • Timothy J. Martin4
  • Eleanor Sitter5
  • Yu Wei1
  • Christopher D. O’Connor2
5 affiliations
  1. 1Department of Forest and Rangeland Stewardship, Colorado State University, Fort Collins, Colorado USA
  2. 2USDA Forest Service Rocky Mountain Research Station, 800 E. Beckwith Ave., Missoula, Montana USA
  3. 3Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee USA
  4. 4Department of Anthropology & Geography, Colorado State University, Fort Collins, Colorado USA
  5. 5Department of Political Science, Colorado State University, Fort Collins, Colorado USA
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Abstract

The dataset is a spatially and temporally organized curated subset of National Infrared Operations Program real-time high-resolution fire perimeter acquisitions for the Western United States from 2020 to 2024. The U.S. Forest Service’s National Infrared Operations is an ordered resource that flies only when requested and prioritized, and which tracks and documents wildfire progression over time. Through a structured data retrieval, consolidation, and metadata curation process, the dataset organizes fire perimeters and associated attributes to facilitate the temporal and spatial reconstruction of fire progression. The resulting shapefile integrates multiple data sources, ensuring spatial standardization to improve interoperability. This resource may be applied in various fields, including fire behavior modeling, fire risk analysis, ecological impact assessment, and resource management. It offers a transparent, replicable workflow and encourages reuse by providing supporting code, enabling researchers, land managers, and policymakers to incorporate these fire perimeters into broader analyses and decision-making processes.

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Cite

BibTeXRIS
BibTeX
@article{magstadt2026high,
  title = {{A high spatial resolution daily fire perimeter progression dataset for wildfires in the Western United States: 2020–2024}},
  author = {Shayne Magstadt and Rahul Wadhwani and Matthew A. Whitley and Timothy J. Martin and Eleanor Sitter and Yu Wei and Christopher D. O’Connor},
  journal = {Scientific Data},
  year = {2026},
  month = jul,
  doi = {10.1038/s41597-026-07695-1},
  url = {https://doi.org/10.1038/s41597-026-07695-1},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - A high spatial resolution daily fire perimeter progression dataset for wildfires in the Western United States: 2020–2024
AU  - Shayne Magstadt
AU  - Rahul Wadhwani
AU  - Matthew A. Whitley
AU  - Timothy J. Martin
AU  - Eleanor Sitter
AU  - Yu Wei
AU  - Christopher D. O’Connor
PY  - 2026
DA  - 2026/07/13
JO  - Scientific Data
DO  - 10.1038/s41597-026-07695-1
UR  - https://doi.org/10.1038/s41597-026-07695-1
AB  - The dataset is a spatially and temporally organized curated subset of National Infrared Operations Program real-time high-resolution fire perimeter acquisitions for the Western United States from 2020 to 2024. The U.S. Forest Service’s National Infrared Operations is an ordered resource that flies only when requested and prioritized, and which tracks and documents wildfire progression over time. Through a structured data retrieval, consolidation, and metadata curation process, the dataset organizes fire perimeters and associated attributes to facilitate the temporal and spatial reconstruction of fire progression. The resulting shapefile integrates multiple data sources, ensuring spatial standardization to improve interoperability. This resource may be applied in various fields, including fire behavior modeling, fire risk analysis, ecological impact assessment, and resource management. It offers a transparent, replicable workflow and encourages reuse by providing supporting code, enabling researchers, land managers, and policymakers to incorporate these fire perimeters into broader analyses and decision-making processes.
SN  - 2052-4463
ER  -