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Analysis methodology · Thermal anomaly

Thermal anomaly detection

Identifies localised high-temperature events against background radiance; good for active fire detection, gas flare monitoring, and volcanic hotspot mapping.

Contextual or fixed threshold applied to mid-wave or longwave IR channels. High saturation risk over intense sources requires careful gain settings. MWIR (~3.5-4 um) is more sensitive to sub-pixel hot targets than LWIR. Wikipedia: Wildfire

Demonstrated
Capable, undemonstrated
Sources
Methodology

Edited from public sources. Last reviewed 2026-05-22 by SpectraWorks editorial. See the data dictionary for field definitions.

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Thermal anomaly detection. EO-Atlas, SpectraWorks B.V., last reviewed 2026-05-22. https://eo-atlas.org/topics/methodologies/thermal-anomaly-detection (CC BY 4.0)

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@misc{eoatlas:topics:methodologies:thermal-anomaly-detection,
  title = {Thermal anomaly detection},
  author = {{EO-Atlas}},
  publisher = {SpectraWorks B.V.},
  year = {2026},
  note = {Last reviewed 2026-05-22. CC BY 4.0},
  url = {https://eo-atlas.org/topics/methodologies/thermal-anomaly-detection}
}