MOD14A1.061: Terra Thermal Anomalies & Fire Daily Global 1km

MODIS/061/MOD14A1
Dataset Availability
2000-02-24T00:00:00Z–2024-12-17T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("MODIS/061/MOD14A1")
Cadence
1 Day
Tags
daily fire global modis nasa terra usgs
mod14a1

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:

Resolution
1000 meters

Bands

Name Units Min Max Scale Description
FireMask

Confidence of fire

  • Bits 0-3: Fire mask pixel classes
    • 1: Not processed (obsolete; not used since Collection 1)
    • 2: Not processed (other reason)
    • 3: Non-fire water pixel
    • 4: Cloud (land or water)
    • 5: Non-fire land pixel
    • 6: Unknown (land or water)
    • 7: Fire (low confidence, land or water)
    • 8: Fire (nominal confidence, land or water)
    • 9: Fire (high confidence, land or water)
MaxFRP MW 0 180000 0.1

Maximum fire radiative power

sample 0 1353

Position of fire pixel within scan

QA

Pixel quality indicators

  • Bits 0-1: Land/water state
    • 0: Water
    • 1: Coast
    • 2: Land
    • 3: Missing data
  • Bit 2: Night/day
    • 0: Night
    • 1: Day

Terms of Use

MODIS data and products acquired through the LP DAAC have no restrictions on subsequent use, sale, or redistribution.

Citations:

Explore with Earth Engine

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');
Open in Code Editor