Modelled long-term wildfire occurrence probabilities in sagebrush-dominated ecosystems in the western US (1985 to 2019)
September 26, 2025
Exotic annual grasses are one of the most damaging biological stressors in western North America and increase the susceptibility of landscapes to wildfire occurrence. Here we couple estimates of long-term rangeland component fractions (e.g. exotic annual grasses) with remote sensing, climate data, and machine learning techniques to estimate the long-term (1985 to 2019) probability of wildfire occurrence (30-m spatial resolution) in sagebrush-dominated landscapes of the western United States.
Citation Information
| Publication Year | 2025 |
|---|---|
| Title | Modelled long-term wildfire occurrence probabilities in sagebrush-dominated ecosystems in the western US (1985 to 2019) |
| DOI | 10.5066/P9ZN7BN8 |
| Authors | Neal J Pastick, Bruce K Wylie, Matthew B Rigge, Devendra Dahal (CTR), Stephen Boyte, Matthew Jones, Brady W. Allred, Sujan Parajuli, Zhuoting Wu |
| Product Type | Data Release |
| Record Source | USGS Asset Identifier Service (AIS) |
| USGS Organization | Earth Resources Observation and Science (EROS) Center |
| Rights | This work is marked with CC0 1.0 Universal |
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