GOES Fire Detects from the Wildfire Automated Biomass Burning Algorithm (WF-ABBA)

The GOES ABBA is a contextual multi-spectral thresholding algorithm which utilizes dynamic local thresholds derived from the GOES satellite imagery and ancillary databases to locate fire pixels and provides estimates of the sub-pixel area and mean temperature of the fire(s). Developed by Dr. Elaine Prins, NESDIS/ORA at the Cooperative Institute for Meteorological Satellite Studies (CIMSS), the algorithm is now run operationally by NESDIS/OSDPD. OSDPD produces and archives fire detects over N. America.

Data and Resources

Field Value
accessLevel public
accrualPeriodicity R/PT1S
bureauCode {006:48}
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catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier gov.noaa.ngdc.mgg.hazards:3022
language {en-US}
modified 2003-07-01
old-spatial {"type": "Polygon", "coordinates": [[[-165.0, 5.0], [-35.0, 5.0], [-35.0, 60.0], [-165.0, 60.0], [-165.0, 5.0]]]}
programCode {006:059}
publisher National Oceanic and Atmospheric Administration (NOAA), National Environmental Satellite, Data, and Information Service (NESDIS), Office of Satellite Data Processing and Distribution (OSDPD), Satellite Services Division (SSD), Fire Detection Program (Point of Contact)
resource-type Dataset
source_datajson_identifier true
source_hash a379e8434a963a97cae5c28922e6f57d85614c38
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-165.0, 5.0], [-35.0, 5.0], [-35.0, 60.0], [-165.0, 60.0], [-165.0, 5.0]]]}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • ckan
  • earth-science-human-dimensions-environmental-impacts-gas-flaring
  • earth-science-human-dimensions-natural-hazards-fire
  • earth-science-radiance-or-imagery-infrared-wavelengths-infrared-imagery
  • earth-science-radiance-or-imagery-infrared-wavelengths-reflected-infrared
  • earth-science-radiance-or-imagery-infrared-wavelengths-thermal-infrared
  • geo
  • geoss
  • national
  • north-america
  • united-states
  • wildfire
isopen False
license_id notspecified
license_title License not specified
maintainer Donna P. McNamara
maintainer_email SSDFireteam@noaa.gov
metadata_created 2025-11-20T04:48:06.998459
metadata_modified 2025-11-20T04:48:06.998463
notes The GOES ABBA is a contextual multi-spectral thresholding algorithm which utilizes dynamic local thresholds derived from the GOES satellite imagery and ancillary databases to locate fire pixels and provides estimates of the sub-pixel area and mean temperature of the fire(s). Developed by Dr. Elaine Prins, NESDIS/ORA at the Cooperative Institute for Meteorological Satellite Studies (CIMSS), the algorithm is now run operationally by NESDIS/OSDPD. OSDPD produces and archives fire detects over N. America.
num_resources 1
num_tags 14
title GOES Fire Detects from the Wildfire Automated Biomass Burning Algorithm (WF-ABBA)