MODIS/Terra MOD14A1: Daily Global Fire and Thermal Anomaly Data at 1km Resolution

The MOD14A1 Version 6 data product from NASA's Terra MODIS satellite provides daily global fire and thermal anomaly data at 1-kilometer spatial resolution. The product is packaged as eight consecutive days of data per file, including layers for fire mask, pixel quality, maximum fire radiative power, and fire pixel position. This version has been decommissioned as of July 31, 2023, with users directed to the updated Version 6.1.

Use Cases

• Monitor global wildfire activity and intensity based on the fire mask and maximum fire radiative power (MaxFRP) layers.
• Assess detection confidence and filter data based on the pixel quality indicators mentioned in the description.
• Analyze fire occurrence over water bodies and coastal regions based on the description of processing for ocean pixels and oil rigs.
• Study temporal fire patterns using the eight consecutive days of data packaged into a single file.

Strengths

• Data is generated at a 1-kilometer spatial resolution, providing detailed geographic information.
• Includes refinements such as dynamic thresholding for small fires and fixes for false alarms in forest clearings.
• Processes ocean and coastline pixels to detect fires from sources like oil rigs.

Limitations

• This specific Version 6 product has been decommissioned; users must migrate to the newer Version 6.1.
• Known issues exist, including pre-November 2000 data quality and flagging of static sources, requiring consultation of external resources.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

National Aeronautics and Space Administration

Collection Method

Generated from the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) satellite.

Time Range

Data is generated every eight days; temporal coverage is not explicitly stated.

Freshness

Last updated 2026-03-12 23:36:33.010037; freshness should be verified

Geography

Global coverage at 1km SIN grid.