MYD14A2 v006

MODIS/Aqua Thermal Anomalies/Fire 8-Day L3 Global 1 km SIN Grid

PI: Louis Giglio

The MYD14A2 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MYD14A2 Version 6.1 data product.


The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire 8-Day (MYD14A2) Version 6 data are generated at 1 kilometer (km) spatial resolution as a Level 3 product. The MYD14A2 gridded composite contains maximum value of individual fire pixel classes detected during the eight days of acquisition.

The Science Dataset (SDS) layers include the fire mask and pixel quality indicators.

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Improvements/Changes from Previous Versions

  • Refinements to internal cloud mask, which sometimes flags heavy smoke as clouds.
  • Fix for frequent false alarms occurring in the Amazon that are caused by small (~1 km²) clearings within forests.
  • Fix to correct a bug that causes incorrect assessment of cloud and water pixels adjacent to fire pixels near the scan edge.
  • Detect small fires using dynamic thresholding.
  • Process ocean and coastline pixels to detect fire from oil rigs.
  • The Version 6 fire mask has the potential to detect fire over water pixels. Therefore, class 3 pixel values have been changed to be classified as “non-fire water pixels”.

Product Maturity

Validation at stage 3 has been achieved for all MODIS Thermal Anomalies and Fire products. Further details regarding MODIS land product validation for the MYD14 data product is available from the MODIS land team validation site.

Collection and Granule


Characteristic Description
CollectionAqua MODIS
File Size~0.44 MB
Temporal ResolutionMulti-Day
Temporal Extent2002-07-04 to 2023-02-25
Spatial ExtentGlobal
Coordinate SystemSinusoidal
File FormatHDF-EOS
Geographic Dimensions1200 km x 1200 km


Characteristic Description
Number of Science Dataset (SDS) Layers2
Columns/Rows1200 x 1200
Pixel Size1000 m

Layers / Variables

SDS Name Description Units Data Type Fill Value No Data Value Valid Range Scale Factor
FireMask Confidence of fire Class Flag 8-bit unsigned integer 0 N/A 1 to 9 N/A
QA Pixel Quality Indicators Bit Field 8-bit unsigned integer N/A N/A 0 to 6 N/A

MYD14 Fire Mask pixel classes

Value Description
0 Not processed (missing input data)
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)

Product Quality

The Quality Assurance (QA) layer is stored in an efficient bit-encoded manner. The unpack_sds_bits executable from the LDOPE Tools is available to the user community to help parse and interpret the QA layer.

The QA bit flags for the QC layer are provided in Table 6 of the User Guide.

Quality assurance information should be considered when determining the usability of data for a particular science application. The ArcGIS MODIS-VIIRS Python Toolbox contains tools capable of decoding quality data layers while producing thematic quality raster files for each quality attribute.

In addition to data access and transformation processes, AppEEARS also has the capability to unpack and interpret the quality layers.

Known Issues

Known issues are described on the MODIS Land Quality Assessment website and in Section 7.2 of the User Guide which covers Pre-November 2000 Data Quality, Detection Confidence, Flagging of Static Sources, and the August 2020 MODIS Aqua Outage.

About the image

Aqua MODIS fire data from the MYD14A2 product over western United States, August 13 - 20, 2018.

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User Guide
Algorithm Theoretical Basis Document (ATBD)
File Specification

Using the Data

Access Data


DOI: 10.5067/MODIS/MYD14A2.006