Modelled long-term wildfire occurrence probabilities in sagebrush-dominated ecosystems in the western US (1985 to 2019)

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.

Data and Resources

Field Value
accessLevel public
bureauCode {010:12}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
datagov_dedupe_retained 20220722134805
identifier USGS:6023017dd34e31ed20c87329
metadata_type geospatial
modified 20220421
old-spatial {"type": "Polygon", "coordinates": [[[-121.87704, 36.90701], [-121.87704, 47.84742], [ -104.87570, 47.84742], [ -104.87570, 36.90701], [-121.87704, 36.90701]]]}
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 80136bd3cce5bc72b10297b49bacc0c6ad24a168
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-121.87704, 36.90701], [-121.87704, 47.84742], [ -104.87570, 47.84742], [ -104.87570, 36.90701], [-121.87704, 36.90701]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • biota
  • ckan
  • exotic-annual-grasses-cheatgrass-remote-sensing-wildfire
  • geo
  • geoss
  • national
  • north-america
  • united-states
  • usgs-6023017dd34e31ed20c87329
isopen False
license_id notspecified
license_title License not specified
maintainer Neal J Pastick
maintainer_email past0042@umn.edu
metadata_created 2025-11-21T10:13:53.636296
metadata_modified 2025-11-21T10:13:53.636299
notes 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.
num_resources 2
num_tags 11
title Modelled long-term wildfire occurrence probabilities in sagebrush-dominated ecosystems in the western US (1985 to 2019)