N: 90 S: -90 E: 180 W: -180
Description
The MYD14A1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MYD14A1 Version 6.1 data product.
The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire Daily (MYD14A1) Version 6 data are generated every eight days at 1 kilometer (km) spatial resolution as a Level 3 product. MYD14A1 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/VIIRS 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 (MYD14A1) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002273), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h19v00), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2015057043739), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Escalating landscape fire exposure and its deteriorating global equity: Role of associated population changes, socioeconomic levels, and climate changes | Pan, Tong, Wang, Hongjun, Chen, Jiyuan, Fan, Zipei, Song, Xuan | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Fuels Mediate the Influence of Climate Teleconnections on Wildfires in Dryland Ecosystems | Qu, Yuquan, Veraverbeke, Sander, Miralles, Diego G., Fan, Jingfang, Vereecken, Harry, Montzka, Carsten | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Surface Temperature, Surface Thermal Properties, THERMAL ANOMALIES, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| The contribution of fires to PM2.5 and population exposure in the Asia Pacific region | Lu, Hua, Xie, Min, Wang, Nan, Liu, Bojun, Jiang, Jinyue, Zhuang, Bingliang, Zhang, Ying, Wu, Meixuan, Yang, Jianfeng, Lv, Kunqin, Ma, Danyang | Land Use/Land Cover Classification, Land Surface Temperature, Fire Occurrence, Surface Thermal Properties, THERMAL ANOMALIES | |
| A tuning-free moderate-scale burned area detection algorithma case study in chornobyl-contaminated region | Hu, Jun, Kotsuki, Shunji, Igarashi, Yasunori, Yang, Ziping, Talerko, Mykola, Tischenko, Olga, Protsak, Valentin, Kirieiev, Serhii | Reflectance, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Annual and Seasonal Patterns of Burned Area Products in Arctic-Boreal North America and Russia for 20012020 | Clelland, Andrew A., Marshall, Gareth J., Baxter, Robert, Potter, Stefano, Talucci, Anna C., Rady, Joshua M., Genet, Helene, Rogers, Brendan M., Natali, Susan M. | Reflectance, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Fire Ecology, Biomass Burning, Wildfires, Burned Area, Emissions, Forests, Carbon, Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Reforestation, Carbonaceous Aerosols, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Non-methane Hydrocarbons/Volatile Organic Compounds, Particulate Matter, Nitrogen Oxides, Sulfur Dioxide, Carbon And Hydrocarbon Compounds, Fire Dynamics, Normalized Difference Vegetation Index (NDVI), Albedo | |
| Impact of wildfires on regional ozone and PM2. 5: Considering the light absorption of Brown carbon | Choi, Minsu, Zhang, Jie, Zhang, Yuwei, Fan, Jiwen, Li, Xinghua, Ying, Qi | Aerosol Optical Depth/Thickness, Land Surface Temperature, Fire Occurrence, Surface Thermal Properties, THERMAL ANOMALIES, Carbonaceous Aerosols, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Emissions, Non-methane Hydrocarbons/Volatile Organic Compounds, Particulate Matter, Nitrogen Oxides, Sulfur Dioxide, Carbon And Hydrocarbon Compounds | |
| Mapping and assessment of slash-and-burn farming in Palawan, Philippines using various fire and burnt area products | Canlas, Cara Patricia I., Blanco, Ariel C. | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| A wildfire growth prediction and evaluation approach using Landsat and MODIS data | Radocaj, Dorijan, Jurisic, Mladen, Gasparovic, Mateo | Reflectance, RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Assessing the accuracy of MODIS MCD64A1 C6 and FireCCI51 burned area products in Mediterranean ecosystems | Katagis, Thomas, Gitas, Ioannis Z. | Land Use/Land Cover Classification, Reflectance, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Land Surface Temperature, Surface Thermal Properties, THERMAL ANOMALIES | |
| Cascading Delays in the Monsoon Rice Growing Season and Postmonsoon Agricultural Fires Likely Exacerbate Air Pollution in North India | Liu, T., Mickley, L. J., Patel, P. N., Gautam, R., Jain, M., Singh, S., BalwinderSingh, DeFries, R. S., Marlier, M. E. | Land Use/Land Cover Classification, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Reflectance, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Detecting and quantifying residue burning in smallholder systemsAn integrated approach using Sentinel-2 data | Deshpande, Monish Vijay, Pillai, Dhanyalekshmi, Jain, Meha | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Regional-scale fire severity mapping of Eucalyptus forests with the Landsat archive | Dixon, Dan J., Callow, J. Nikolaus, Duncan, John M.A., Setterfield, Samantha A., Pauli, Natasha | 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 | |
| Degradation of the Brazilian CerradoInteractions with human disturbance and environmental variables | Lopes dos Santos, Gilsonley, Pereira, Marcos Gervasio, Delgado, Rafael Coll, Magistrali, Iris Cristiane, Gomes da Silva, Claudio, Magno Moreira de Oliveira, Carlos, Pedro Bessa Larangeira, Joao, Paula da Silva, Tiago | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Detection of delay in post-monsoon agricultural burning across Punjab, Indiapotential drivers and consequences for air quality | Liu, Tianjia, Mickley, Loretta J, Gautam, Ritesh, Singh, Manoj K, DeFries, Ruth S, Marlier, Miriam E | Reflectance, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Daily PM2. 5 concentration estimates by county, ZIP code, and census tract in 11 western states 20082018 | Reid, Colleen E., Considine, Ellen M., Maestas, Melissa M., Li, Gina | Aerosol Optical Depth/Thickness, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Fire Occurrence, Surface Thermal Properties, THERMAL ANOMALIES | |
| Evaluating accuracy of four MODIS-derived burned area products for tropical peatland and non-peatland fires | Vetrita, Yenni, Cochrane, Mark A, Suwarsono, Priyatna, Muhammad, Sukowati, Kusumaning A D, Khomarudin, Muhammad R | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Estimation of Field-Level NOx Emissions from Crop Residue Burning Using | Shen, Yonglin, Jiang, Changmin, Chan, Ka Lok, Hu, Chuli, Yao, Ling | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Carbonaceous Aerosols, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Emissions, Non-methane Hydrocarbons/Volatile Organic Compounds, Particulate Matter, Nitrogen Oxides, Sulfur Dioxide, Carbon And Hydrocarbon Compounds | |
| Identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristics | Shuo, Zhen, Jingyu, Zhang, Zhengxiang, Zhang, Jianjun, Zhao | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Global Patterns of Hottest, Coldest, and Extreme Diurnal Variability on Earth | Zhao, Yunxia, Norouzi, Hamid, Azarderakhsh, Marzi, AghaKouchak, Amir | Land Surface Temperature, Emissivity, Fire Occurrence, Surface Thermal Properties, THERMAL ANOMALIES | |
| Global search for temporal shifts in fire activity: Potential human influence on southwest Russia and north Australia fire seasons | Liu, Tianjia, Mickley, Loretta J, McCarty, Jessica L | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Remote sensing-based operational modeling of fuel ignitability in Hyrcanian mixed forest, Iran | Adab, Hamed, Kanniah, Kasturi Devi, Solaimani, Karim | Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps, Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Missing Burns in the High Northern Latitudes: The Case for Regionally | Chen, Dong, Shevade, Varada, Baer, Allison, Loboda, Tatiana V. | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Spatial accessibility of anthropogenic fire ignition sources of grassland fire in northeast China | Zhang, Zhengxiang, Li, Jianjie, Yu, Shan, Zhao, Jianjun | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES | |
| Spatio-temporal patterns of extreme fires in Amazonian forests | Cano-Crespo, Ana, Traxl, Dominik, Thonicke, Kirsten | Land Use/Land Cover Classification, Reflectance, Anisotropy, 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 |
|---|---|---|---|---|---|---|---|
| FireMask | Confidence of fire | Class Flag | uint8 | 0 | 1 to 9 | N/A | N/A |
| MaxFRP | Maximum Fire Radiative Power | Megawatts | uint32 | 0 | 0 to 180000 | 0.1 | N/A |
| QA | Pixel Quality Indicators | Bit Field | uint8 | N/A | 0 to 6 | N/A | N/A |
| Sample | Position of fire pixel within scan | Number | uint16 | N/A | 0 to 1353 | N/A | N/A |