Aqua MODIS 8-Day Global Fire and Thermal Anomaly Grids

MYD14A2 Version 6.1 provides a global 1-kilometer resolution composite of maximum fire pixel classes detected over eight-day periods. The product includes a fire mask and pixel quality indicator layers, generated from Aqua MODIS satellite data. LPCLOUD processes and distributes this Level 3 gridded data.

Use Cases

• Mapping the spatial distribution of active fire fronts using the fire mask layer.
• Analyzing fire intensity trends by examining the maximum fire pixel class values over time.
• Assessing data reliability for specific regions by filtering observations with the pixel quality indicators.
• Monitoring seasonal and interannual wildfire activity across different biomes from the global 1km grid.

Strengths

• Global spatial coverage at 1-kilometer resolution.
• Data is aggregated into consistent 8-day temporal composites.
• Includes quality assurance layers for reliability assessment.

Limitations

• Known issues exist, requiring users to consult external quality assessment resources.
• Spatial resolution of 1km may not capture small or low-intensity fires.
• The 8-day composite period may obscure the exact timing of fire events.

Provenance

Source

NASA Aqua satellite Moderate Resolution Imaging Spectroradiometer (MODIS) sensor.

Collection Method

Satellite remote sensing, with thermal anomalies and fire detection algorithms applied to generate Level 3 gridded composites.

Time Range

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Freshness

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Geography

Global