NOAA GOES-R Series Advanced Baseline Imager Level 2 data provides fire characterization for the Western Hemisphere. The product includes a fire mask and pixel-level estimates for fire size, temperature, and radiative power at 2 km resolution. Data is processed by the GOES-R Algorithm Working Group from GOES-16 and GOES-17 satellites.
Use Cases
- Real-time wildfire detection and monitoring based on the fire mask and probability categories.
- Estimating fire radiative power and temperature for climate and emissions modeling based on pixel value estimates.
- Integrating fire location and characterization data into offline environmental assessment models.
- Flagging fire pixel quality for data filtering based on categories like 'cloud contaminated' or 'saturated'.
Strengths
- Provides four distinct data layers: a fire mask and three pixel value estimates for size, temperature, and power.
- Includes detailed fire pixel quality categories, such as 'Good quality', 'Cloud contaminated', and probability levels.
- Offers 2 km spatial resolution for the displayed product image.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file size are unknown, which may limit suitability assessment.
- The description does not specify the temporal coverage or update frequency of the data.
Provenance
- Source
- National Oceanic and Atmospheric Administration (NOAA)
- Collection Method
- Data collected and processed by the GOES-R Algorithm Working Group from GOES-16 and GOES-17 satellites.
- Freshness
- Last updated 2026-04-15 13:01:11; freshness should be verified.
- Geography
- Western Hemisphere