AI-generated Key Takeaways
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MOD14A1 V6.1 provides daily global fire mask composites at 1km resolution, derived from MODIS thermal radiances.
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The fire detection strategy utilizes both absolute fire detection and detection relative to the background.
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Data identifies fire occurrences with varying confidence levels and differentiates between fire, no fire, and no observation.
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The dataset is useful for monitoring fire distribution, detecting fire frontiers, and analyzing fire frequency and strength changes.
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MODIS data acquired through the LP DAAC has no restrictions on subsequent use, sale, or redistribution.

- Dataset Availability
- 2000-02-24T00:00:00Z–2025-09-29T00:00:00Z
- Dataset Provider
- NASA LP DAAC at the USGS EROS Center
- Cadence
- 1 Day
- Tags
Description
The MOD14A1 V6.1 dataset provides daily fire mask composites at 1km resolution derived from the MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when the fire strength is sufficient to detect), and on detection relative to its background (to account for variability of the surface temperature and reflection by sunlight). The product distinguishes between fire, no fire and no observation. This information is used for monitoring the spatial and temporal distribution of fires in different ecosystems, detecting changes in fire distribution and identifying new fire frontiers, wild fires, and changes in the frequency of the fires or their relative strength.
Documentation:
Bands
Pixel Size
1000 meters
Bands
Name | Units | Min | Max | Scale | Pixel Size | Description | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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FireMask |
meters | Confidence of fire |
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MaxFRP |
MW | 0 | 180000 | 0.1 | meters | Maximum fire radiative power |
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sample |
0 | 1353 | meters | Position of fire pixel within scan |
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QA |
meters | Pixel quality indicators |
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Terms of Use
Terms of Use
MODIS data and products acquired through the LP DAAC have no restrictions on subsequent use, sale, or redistribution.
Citations
Please visit LP DAAC 'Citing Our Data' page for information on citing LP DAAC datasets.
DOIs
Explore with Earth Engine
Code Editor (JavaScript)
var dataset = ee.ImageCollection('MODIS/061/MOD14A1') .filter(ee.Filter.date('2018-01-01', '2018-05-01')); var fireMaskVis = { min: 0.0, max: 6000.0, bands: ['MaxFRP', 'FireMask', 'FireMask'], }; Map.setCenter(6.746, 46.529, 2); Map.addLayer(dataset, fireMaskVis, 'Fire Mask');