N: 90 S: -90 E: 180 W: -180
Description
The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire 8-Day (MYD14A2) Version 6.1 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.
Known Issues
- For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.
Version Description
Product Summary
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.
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File Naming Convention
The file name begins with the Product Short Name (MYD14A2) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2025209), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h30v06), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025218000032), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
SCIENCE DATA PRODUCT VALIDATION
Dataset Resources
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Radiative and microphysical responses of clouds to an anomalous increase in fire particles over the Maritime Continent in 2015 | Takeishi, Azusa, Wang, Chien | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Aerosol Backscatter, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Aerosol Radiance, Carbonaceous Aerosols, Cloud Condensation Nuclei, Dust/Ash/Smoke, Nitrate Particles, Organic Particles, Particulate Matter, Sulfate Particles, Trace Gases/Trace Species, Atmospheric Emitted Radiation, Emissivity, Optical Depth/Thickness, Radiative Flux, Reflectance, Transmittance, Atmospheric Stability, Humidity, Total Precipitable Water, Water Vapor Profiles, Cloud Condensation Nuclei, Cloud Droplet Concentration/Size, Cloud Liquid Water/Ice, Cloud Optical Depth/Thickness, Cloud Asymmetry, Cloud Ceiling, Cloud Frequency, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Cloud Emissivity, Cloud Radiative Forcing, Cloud Reflectance, Rain Storms, Atmospheric Ozone, Total Surface Precipitation Rate | |
| Forest Fire Risk Prediction from Satellite Data with Convolutional | Santopaolo, Alessandro, Saif, Syed Saad, Pietrabissa, Antonio, Giuseppi, Alessandro | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Land Surface Temperature, Emissivity, Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Surface Thermal Properties, THERMAL ANOMALIES | |
| LETTER Temporal role of crop residue burning (CRB) in Delhis air pollution | Agarwala, Meghna, Chandel, Abhinav | Land Surface Temperature, Emissivity, Fire Occurrence, Surface Thermal Properties, THERMAL ANOMALIES | |
| Remote sensing of environmental drivers influencing the movement ecology of sympatric wild and domestic ungulates in semi-arid savannas, a review | Rumiano, Florent, Wielgus, Elodie, Miguel, Eve, Chamaille-Jammes, Simon, Valls-Fox, Hugo, Cornelis, Daniel, Garine-Wichatitsky, Michel De, Fritz, Herve, Caron, Alexandre, Tran, Annelise | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Fire Occurrence, Surface Thermal Properties, THERMAL ANOMALIES | |
| Life cycle of bamboo in the southwestern Amazon and its relation to fire events | Dalagnol, Ricardo, Wagner, Fabien Hubert, Galvao, Lenio Soares, Nelson, Bruce Walker, Aragao, Luiz Eduardo Oliveira e Cruz de | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Reflectance, Snow Grain Size, Snow Cover | |
| Fire response to local climate variabilityHuascaran National Park, Peru | All, John, Medler, Michael, Arques, Sylvie, Cole, Rebecca, Woodall, Tommy, King, Justin, Yan, Jun, Schmitt, Carl | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Land Surface Temperature, Surface Thermal Properties, THERMAL ANOMALIES |
Variables
The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.
For questions on a specific variable, please use the Earthdata Forum.
| Name Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|
| FireMask | Confidence of fire | Class Flag | uint8 | 0 | 1 to 9 | N/A | N/A |
| QA | Pixel Quality Indicators | Bit Field | uint8 | N/A | 0 to 6 | N/A | N/A |