N: 90 S: -90 E: 180 W: -180
Description
The MOD14 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MOD14 Version 6.1 data product.
The Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire MOD14 Version 6 product is produced daily in 5-minute temporal satellite increments (swaths). The MOD14 product is used to generate all of the higher level fire products, but can also be used to identify fires and other thermal anomalies, such as volcanoes. Each swath of data is approximately 2,030 kilometers along track (long), and 2,300 kilometers across track (wide).
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
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 (MOD14) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002281), the Hours and Minutes of Acquisition provided as HHMM (2350), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2015056111335), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| An investigation of the impact of Canadian wildfires on US air quality using model, satellite, and ground measurements | Xue, Zhixin, Udaysankar, Nair, Christopher, Sundar A. | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Fire Ecology, Biomass Burning, Wildfires, Burned Area, Aerosol Optical Depth/Thickness, Aerosol Backscatter, Aerosol Extinction, Angstrom Exponent, Aerosol Particle Properties, Aerosol Radiance, Carbonaceous Aerosols, Cloud Condensation Nuclei, Dust/Ash/Smoke, Nitrate Particles, Organic Particles, Particulate Matter, Sulfate Particles, Optical Depth/Thickness, Radiative Flux, Reflectance | |
| Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission ... | Petrenko, Mariya, Kahn, Ralph, Chin, Mian, Bauer, Susanne E., Bergman, Tommi, Bian, Huisheng, Curci, Gabriele, Johnson, Ben, Kaiser, Johannes W., Kipling, Zak, Kokkola, Harri, Liu, Xiaohong, Mezuman, Keren, Mielonen, Tero, Myhre, Gunnar, Pan, Xiaohua, Protonotariou, Anna, Remy, Samuel, Skeie, Ragnhild Bieltvedt, Stier, Philip, Takemura, Toshihiko, Tsigaridis, Kostas, Wang, Hailong, Watson-Parris, Duncan, Zhang, Kai | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Land Surface Temperature, Fire Occurrence, Surface Thermal Properties, THERMAL ANOMALIES, Aerosol Backscatter, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Aerosol Radiance, Carbonaceous Aerosols, Dust/Ash/Smoke, Nitrate Particles, Organic Particles, Particulate Matter, Sulfate Particles, Optical Depth/Thickness, Radiative Flux, Reflectance, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Emissions, Non-methane Hydrocarbons/Volatile Organic Compounds, Nitrogen Oxides, Sulfur Dioxide, Carbon And Hydrocarbon Compounds, Infrared Radiance, REFLECTED INFRARED, Visible Radiance, Cloud Condensation Nuclei | |
| Increase in carbon monoxide (CO) and aerosol optical depth (AOD) observed by satellites in the Northern Hemisphere over the summers of 20082023, linked to an ... | Ehret, Antoine, Turquety, Solene, George, Maya, Hadji-Lazaro, Juliette, Clerbaux, Cathy | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Fire Ecology, Biomass Burning, Wildfires, Burned Area, 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, Optical Depth/Thickness, Radiative Flux, Reflectance | |
| Comprehensive chemical profile and source apportionment of | Lichtig, Pablo, Gelman Constantin, Julian, Diaz Resquin, Melisa, Baraldo Victorica, Facundo, Alessandrello, Diego, Gomez, Dario, Rossler, Cristina, de Oto, Marcelo, Espada Guerrero, Ramiro, Bajano, Hector, Bajano, Facundo, Herrera-Murillo, Jorge, Dawidowski, Laura | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Infrared Radiance, REFLECTED INFRARED, Visible Radiance | |
| Evaluation of black carbon emission inventories over Indian subcontinent: Role of open biomass burning and its representation in emission fluxes | Arora, Akanksha, Gadhavi, H., Ramachandran, S., Rajesh, T.A. | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Comparing Next-Day Wildfire Predictability of MODIS and VIIRS Satellite Data | Karlsson, Justus, Xu, Yonghao, Berg, Amanda, Haglund, Leif | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Infrared Radiance, REFLECTED INFRARED, Visible Radiance, Attitude Characteristics, ORBITAL CHARACTERISTICS, Viewing Geometry | |
| Long-term changes in the thermodynamic structure of the lowermost stratosphere inferred from reanalysis data | Weyland, Franziska, Hoor, Peter, Kunkel, Daniel, Birner, Thomas, Ploger, Felix, Turhal, Katharina | Atmospheric Ozone, Sea Level Pressure, Surface Pressure, U/V Wind Components, U/V Wind Components, Potential Vorticity, Vertical Wind Velocity/Speed, Vertical Profiles, Upper Air Temperature, Air Temperature, Relative Humidity, Specific Humidity, Atmospheric Water Vapor, Cloud Liquid Water/Ice, Altitude, Geopotential Height, Ozone Profiles, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Fire Ecology, Biomass Burning, Wildfires, Burned Area, 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, Optical Depth/Thickness, Radiative Flux, Reflectance | |
| Siberian wildfire smoke observations from space-based multi-angle | Junghenn Noyes, Katherine T., Kahn, Ralph A. | Heat Flux, Air Temperature, Skin Temperature, Specific Humidity, Water Vapor, Precipitation Rate, Snow/Ice, Evaporation, Latent Heat Flux, Latent Heat Flux, Sensible Heat Flux, Diffusion, Surface Winds, Wind Speed, U/V Wind Components, Wind Stress, Wind Stress, Surface Roughness, Planetary Boundary Layer Height, Ice Fraction, Aerosols, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Carbonaceous Aerosols, Dust/Ash/Smoke, Organic Particles, Sulfate Particles, Sulfur Oxides, Sulfur Compounds, Sulfate, Sulfur Dioxide, Sulfur Oxides, Particulate Matter, Dimethyl Sulfide, Black Carbon, Sea Salt, PARTICULATE MATTER (PM 2.5), PARTICULATE MATTER (PM 1.0), PARTICULATE MATTER (PM 10), Geopotential Height, Atmospheric Ozone, Sea Level Pressure, Surface Pressure, Upper Air Temperature, Vertical Profiles, U/V Wind Components, Ozone Profiles, Land Use/Land Cover Classification, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Active fire-based dating accuracy for Landsat burned area maps is high in boreal and Mediterranean biomes and low in grasslands and savannas | Neves, Alana K., Pereira, Jose M.C., Silva, Joao M.N., Catarino, Silvia, Oliva, Patricia, Chuvieco, Emilio, Campagnolo, Manuel L. | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Fire Ecology, Biomass Burning, Wildfires, Burned Area | |
| Improved estimates of smoke exposure during Australia fire seasons: importance of quantifying plume injection heights | Feng, Xu, Mickley, Loretta J., Bell, Michelle L., Liu, Tianjia, Fisher, Jenny A., Val Martin, Maria | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Land Use/Land Cover Classification | |
| Long-Term Satellite Monitoring of Various Types of Wildfires and Wildfire-Induced Emissions of Climate-Active Gases and Aerosols in Russia and in Its Large Regions | Bondur, V. G., Zima, A. L., Feoktistova, N. V. | Land Use/Land Cover Classification, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Fire Ecology, Biomass Burning, Wildfires, Burned Area | |
| Simultaneous Monitoring of Wildfire and Smoke Using Geostationary Satellite Infrared Channel Observations | Lee, Kwon-Ho, Kim, Kwanchul, Lee, Dasom, Ha, Jong-Sung, Kim, Heeseob | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Satellite Multi-Angle Observations of Wildfire Smoke Plumes During the | Noyes, K. T. Junghenn, Kahn, R. A. | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Reflectance | |
| A Landsat-based atlas of monthly burned area for Portugal, 19842021 | Neves, Alana K., Campagnolo, Manuel L., Silva, Joao M.N., Pereira, Jose M.C. | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| A model for expressing industrial information based on object-oriented industrial heat sources detected using multi-source thermal anomaly data in China | Ma, Caihong, Yang, Jin, Xia, Wei, Liu, Jianbo, Zhang, Yifan, Sui, Xin | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Canadian and Alaskan wildfire smoke particle properties, their evolution, and controlling factors, from satellite observations | Junghenn Noyes, Katherine T., Kahn, Ralph A., Limbacher, James A., Li, Zhanqing | Heat Flux, Air Temperature, Skin Temperature, Specific Humidity, Water Vapor, Precipitation Rate, Snow/Ice, Evaporation, Latent Heat Flux, Latent Heat Flux, Sensible Heat Flux, Diffusion, Surface Winds, Wind Speed, U/V Wind Components, Wind Stress, Wind Stress, Surface Roughness, Planetary Boundary Layer Height, Ice Fraction, Geopotential Height, Atmospheric Ozone, Sea Level Pressure, Surface Pressure, Upper Air Temperature, Vertical Profiles, U/V Wind Components, Ozone Profiles, Land Use/Land Cover Classification, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Estimating NH<inf>3</inf> and PM<inf>2.5</inf> emissions from the Australia mega wildfires and the impact of plume transport on air quality in Australia and New Zealand | Akdemir, Ece Ari, Battye, William H., Myers, Casey Bray, Aneja, Viney P. | Land Use/Land Cover Classification, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Open biomass burning emissions and their contribution to ambient formaldehyde in Guangdong province, China | Zhang, Chunlin, Li, Jiangyong, Zhao, Wenlong, Yao, Qian, Wang, Hao, Wang, Boguang | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Remote sensing mapping of peat-fire-burnt areasIdentification among other wildfires | Sirin, Andrey, Medvedeva, Maria | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| The New Transamazonian Highway: BR-319 and Its Current Environmental Degradation | Lima, Mendelson, Santana, Dthenifer Cordeiro, Junior, Ismael Cavalcante Maciel, Costa, Patricia Monique Crivelari da, Oliveira, Pedro Paulo Gomes de, Azevedo, Raul Pio de, Silva, Rogerio de Souza, Marinho, Ubiranei de Freitas, Silva, Valdinete da, Souza, Juliana Aparecida Arantes de, Rossi, Fernando Saragosa, Delgado, Rafael Coll, Teodoro, Larissa Pereira Ribeiro, Teodoro, Paulo Eduardo, Silva Junior, Carlos Antonio da | Land Surface Temperature, Fire Occurrence, Surface Thermal Properties, THERMAL ANOMALIES, Fire Ecology, Biomass Burning, Wildfires, Burned Area | |
| 2019-20 Australian Bushfires and Anomalies in Carbon Monoxide Surface | John, Shyno Susan, Deutscher, Nicholas M., Paton-Walsh, Clare, Velazco, Voltaire A., Jones, Nicholas B., Griffith, David W. T. | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Fire Dynamics, Surface Radiative Properties | |
| A comprehensive characterization of MODIS daily burned area mapping accuracy across fire sizes in tropical savannas | Campagnolo, M.L., Libonati, R., Rodrigues, J.A., Pereira, J.M.C. | Reflectance, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Burned Area, Fire Dynamics, Land Use/Land Cover Classification | |
| Validation of MODIS and AVHRR fire detections in Australia | Forghani, A., Thankappan, M., Cechet, B. | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Insights into the aging of biomass burning aerosol from satellite observations and 3D atmospheric modeling: evolution of the aerosol optical properties in ... | Konovalov, Igor B., Golovushkin, Nikolai A., Beekmann, Matthias, Andreae, Meinrat O. | Aerosol Extinction, Aerosol Optical Depth/Thickness, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Aerosol Backscatter, Aerosol Extinction, Angstrom Exponent, Aerosol Particle Properties, Aerosol Radiance, Carbonaceous Aerosols, Dust/Ash/Smoke, Nitrate Particles, Organic Particles, Particulate Matter, Sulfate Particles, Optical Depth/Thickness, Radiative Flux, Reflectance | |
| Inter-annual and seasonal variations in optical and physical characteristics of columnar aerosols over the Pokhara Valley in the Himalayan foothills | Ramachandran, S., Rupakheti, Maheswar | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, 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 |
|---|---|---|---|---|---|---|---|
| Algorthm QA | Pixel Quality Indicators | Bit Field | uint32 | 4 | 0 to 4294966531 | N/A | N/A |
| CMG_night | Night flag | N/A | uint16 | N/A | N/A | N/A | N/A |
| Fire Mask | Confidence of fire | Class Flag | uint8 | 0 | 1 to 9 | N/A | N/A |
| FP_AdjCloud | Number of adjacent cloud pixels | N/A | uint8 | N/A | 0 to 8 | N/A | N/A |
| FP_AdjWater | Number of adjacent water pixels | N/A | uint8 | N/A | 0 to 8 | N/A | N/A |
| FP_CMG_col | CMG column | N/A | int16 | N/A | N/A | N/A | N/A |
| FP_CMG_row | CMG row | N/A | int16 | N/A | N/A | N/A | N/A |
| FP_confidence | Detection confidence estimate | Percent | uint8 | N/A | 1 to 100 | N/A | N/A |
| FP_land | Land flag (0 = water pixel; 1 = land pixel) | N/A | uint8 | N/A | N/A | N/A | N/A |
| FP_latitude | Latitude at center of fire pixel | Degree | float32 | N/A | -90 to 90 | N/A | N/A |
| FP_line | Granule line of fire pixel | N/A | int16 | N/A | N/A | N/A | N/A |
| FP_longitude | Longitude at center of fire pixel | Degree | float32 | N/A | -180 to 180 | N/A | N/A |
| FP_MAD_DT | Background brightness temperature difference mean absolute deviation | Kelvin | float32 | N/A | N/A | N/A | N/A |
| FP_MAD_R2 | Background channel 2 reflectance mean absolute deviation | N/A | float32 | N/A | N/A | N/A | N/A |
| FP_MAD_T21 | Background channel 21/22 brightness temperature mean absolute deviation | Kelvin | float32 | N/A | N/A | N/A | N/A |
| FP_MAD_T31 | Background channel 31 brightness temperature mean absolute deviation | Kelvin | float32 | N/A | N/A | N/A | N/A |
| FP_MeanDT | Background brightness temperature difference | Kelvin | float32 | N/A | N/A | N/A | N/A |
| FP_MeanR2 | Background channel 2 reflectance | N/A | float32 | N/A | N/A | N/A | N/A |
| FP_MeanT21 | Background channel 21/22 brightness temperature | Kelvin | float32 | N/A | N/A | N/A | N/A |
| FP_MeanT31 | Background channel 31 brightness temperature | Kelvin | float32 | N/A | N/A | N/A | N/A |
| FP_NumValid | Number of valid background pixels | N/A | int16 | N/A | N/A | N/A | N/A |
| FP_power | Fire radiative power | Megawatts | float32 | N/A | N/A | N/A | N/A |
| FP_R2 | Near-IR (band 2) reflectance of fire pixel (daytime only) | N/A | float32 | N/A | N/A | N/A | N/A |
| FP_RelAzAng | Relative azimuth angle | Degree | float32 | N/A | -180 to 180 | N/A | N/A |
| FP_smaple | Granule sample of fire pixel | N/A | int16 | N/A | N/A | N/A | N/A |
| FP_SolZenAng | Solar zenith angle | Degree | float32 | N/A | 0 to 180 | N/A | N/A |
| FP_T21 | Channel 21/22 brightness temperature of fire pixel | Kelvin | float32 | N/A | N/A | N/A | N/A |
| FP_T31 | Channel 31 brightness temperature of fire pixel | Kelvin | float32 | N/A | N/A | N/A | N/A |
| FP_ViewZenAng | View zenith angle | Degree | float32 | N/A | N/A | N/A | N/A |
| FP_WinSize | Background window size | N/A | uint8 | N/A | N/A | N/A | N/A |