Burn probability models calibrated using past human and lightning ignition patterns in the Madrean Sky Islands, Arizona

Burn probability (BP) models involve the simulation of multiple individual wildfires across a landscape to obtain estimates of fire likelihood at any given location based on ignition source, local terrain, fuels and weather. We used FlamMap software to generate BP for 10,000 simulated fires under the three ignition scenarios: human ignition scenario (HIS), lightning ignition scenario (LIS) and random ignition scenario (RIS) for 13 sky island mountain ranges in Arizona. The zipped folder contains 42 BP models in geotiff format. The naming convention for each tiff is: mountain_range_name + scenario type (human, lightning, or random) + bp.

Data and Resources

Field Value
accessLevel public
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identifier USGS:61b919ecd34e9e224ac122f7
metadata_type geospatial
modified 20220207
old-spatial -111.9287, 31.3255, -108.5559, 33.1743
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 725a23e2fa433e9e87c24a1f67eb37cff3ca59c0
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-111.9287, 31.3255], [-111.9287, 33.1743], [ -108.5559, 33.1743], [ -108.5559, 31.3255], [-111.9287, 31.3255]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • arizona
  • biota
  • burn-probability
  • ckan
  • flammap
  • geo
  • geoss
  • ignitions
  • madrean-archipelago
  • national
  • north-america
  • sky-islands
  • united-states
  • usgs-61b919ecd34e9e224ac122f7
  • wildfire
  • wui
isopen False
license_id notspecified
license_title License not specified
maintainer Miguel Villarreal
maintainer_email mvillarreal@usgs.gov
metadata_created 2025-11-22T19:50:58.334638
metadata_modified 2025-11-22T19:50:58.334643
notes Burn probability (BP) models involve the simulation of multiple individual wildfires across a landscape to obtain estimates of fire likelihood at any given location based on ignition source, local terrain, fuels and weather. We used FlamMap software to generate BP for 10,000 simulated fires under the three ignition scenarios: human ignition scenario (HIS), lightning ignition scenario (LIS) and random ignition scenario (RIS) for 13 sky island mountain ranges in Arizona. The zipped folder contains 42 BP models in geotiff format. The naming convention for each tiff is: mountain_range_name + scenario type (human, lightning, or random) + bp.
num_resources 2
num_tags 18
title Burn probability models calibrated using past human and lightning ignition patterns in the Madrean Sky Islands, Arizona