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Description

The MOD14A1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MOD14A1 Version 6.1 data product.

The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire Daily (MOD14A1) Version 6 data are generated every eight days at 1 kilometer (km) spatial resolution as a Level 3 product. MOD14A1 contains eight consecutive days of fire data conveniently packaged into a single file.

The Science Dataset (SDS) layers include the fire mask, pixel quality indicators, maximum fire radiative power (MaxFRP), and the position of the fire pixel within the scan. Each layer consists of daily per pixel information for each of the eight days of data acquisition.

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

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”.

Version Description

The MOD14A1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MOD14A1 Version 6.1 data product (https://doi.org/10.5067/MODIS/MOD14A1.061).

Product Summary

Platforms
Terra
Instruments
MODIS
Spatial Extent
N: 90 S: -90 E: 180 W: -180
Spatial Resolution
1000 Meters x 1000 Meters
Geographic Region
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
GEODETIC
Temporal Extent
2000-02-18 to 2023-02-17
Temporal Resolution
1 Day
Data Partner
Land Processes Distributed Active Archive Center (LP DAAC)
MODIS Adaptive Processing System, Terrestrial Information Systems Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA (NASA/GSFC/SED/ESD/TISL/MODAPS)
Concept ID
C2763298073-LPCLOUD
Data State
COMPLETE
Processing Level
3
Published
Updated
Science Keywords
Fire Occurrence,
Surface Thermal Properties,
Land Surface Temperature

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Giglio, L., & Justice, C. (2015). MOD14A1 MODIS/Terra Thermal Anomalies/Fire Daily L3 Global 1km SIN Grid V006 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MOD14A1.006 Date Accessed: 2025-10-21

File Naming Convention

MOD14A1.A2002273.h24v07.006.2015057061424.hdf

The file name begins with the Product Short Name (MOD14A1) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002273), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h24v07), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2015057061424), and the Data Format (hdf).

Documents

SHOWING 3 OF 3

Publications Citing This Dataset

Filters
Title Year Author
Leveraging NASA soil moisture active passive for assessing fire susceptibility and potential impacts over Australia and California Sazib, N.
Sensitivity of biomass burning emissions estimates to land surface information Saito, M.
Correlates of geoxyle diversity in Afrotropical grasslands Meller, P.
GF-4 satellite fire detection with an improved contextual algorithm Zhang, N.
Spatiotemporal dynamics and climate influence of forest fires in Fujian Province, China Zeng, A.
Significant light absorption of brown carbon during the 2020 California wildfires Cho, C.
Validation of MODIS and AVHRR fire detections in Australia Forghani, A.
Deep stratospheric intrusion and Russian wildfire induce enhanced tropospheric ozone pollution over the northern Tibetan Plateau Zhang, J.
Intraseasonal variability of greenhouse gas emission factors from biomass burning in the Brazilian Cerrado Vernooij, R.
Year-long concurrent max-doas observations of nitrogen dioxide and formaldehyde at pune: Understanding diurnal and seasonal variation drivers Biswas, M. S.
SHOWING 10 OF 35

Variables

Variables are a set of physical properties whose values determine the characteristics or behavior of something. For example, temperature and pressure are variables of the atmosphere. Parameters and variables can be used interchangeably. Variable level attributes provide individual information for each variable.

The Name in this table is the variable name. Fill value indicates missing or undefined data points in a variable. Valid range is the range of values the variable can store. Scale factor is used to increase or decrease the size of an object and can be used to correct for distortion. For questions on a specific variable, please use the Earthdata Forum.

Name Description Units Data Type Fill Value Valid Range Scale Factor
FireMask Confidence of fire Class Flag uint8 0 0 to 9 N/A
MaxFRP Maximum Fire Radiative Power Megawatts uint32 0 0 to 180000 0.1
QA Pixel quality indicators Bit Field uint8 N/A N/A to 6 N/A
Sample Position of fire pixel within scan Number uint16 N/A N/A to 1353 N/A
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