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

  • MOD14A1 V6.1 provides daily global fire mask composites at 1km resolution, derived from MODIS thermal radiances.

  • The fire detection strategy utilizes both absolute fire detection and detection relative to the background.

  • Data identifies fire occurrences with varying confidence levels and differentiates between fire, no fire, and no observation.

  • The dataset is useful for monitoring fire distribution, detecting fire frontiers, and analyzing fire frequency and strength changes.

  • MODIS data acquired through the LP DAAC has no restrictions on subsequent use, sale, or redistribution.

MODIS/061/MOD14A1
Dataset Availability
2000-02-24T00:00:00Z–2025-09-29T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("MODIS/061/MOD14A1")
Cadence
1 Day
Tags
daily fire global modis nasa terra usgs
mod14a1

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
FireMask meters

Confidence of fire

MaxFRP MW 0 180000 0.1 meters

Maximum fire radiative power

sample 0 1353 meters

Position of fire pixel within scan

QA meters

Pixel quality indicators

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

Citations:

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');
Open in Code Editor