N: 90 S: -90 E: 180 W: -180
Description
The Terra and Aqua combined MCD64A1 Version 6.1 Burned Area data product is a monthly, global gridded 500 meter (m) product containing per-pixel burned-area and quality information. The MCD64A1 burned-area mapping approach employs 500 m Moderate Resolution Imaging Spectroradiometer (MODIS) Surface Reflectance imagery coupled with 1 kilometer (km) MODIS active fire observations. The algorithm uses a burn sensitive Vegetation Index (VI) to create dynamic thresholds that are applied to the composite data. The VI is derived from MODIS shortwave infrared atmospherically corrected surface reflectance bands 5 and 7 with a measure of temporal texture. The algorithm identifies the date of burn for the 500 m grid cells within each individual MODIS tile. The date is encoded in a single data layer as the ordinal day of the calendar year on which the burn occurred with values assigned to unburned land pixels and additional special values reserved for missing data and water grid cells.
The data layers provided in the MCD64A1 product include Burn Date, Burn Data Uncertainty, Quality Assurance, along with First Day and Last Day of reliable change detection of the year.
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 (MCD64A1) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2025152), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h06v03), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025220161136), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
SCIENCE DATA PRODUCT VALIDATION
Dataset Resources
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Amazon forest nutrient limitation is mitigated by distant fire emissions | Descals, Adria, Janssens, Ivan A., Penuelas, Josep | Solar Induced Fluorescence, Chlorophyll, Primary Production, Leaf Characteristics, Reflectance, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Characterizing Particulate Matter Impacts of Smoke From 2022 to 2023 | Sablan, Olivia, Ford, Bonne, Gargulinski, Emily, Henery, Giovanna L., Nowell, Holly, Rosen, Zoey, Slater, Kellin, Soja, Amber J., Wiese, Lisa K., Williams, Christine L., Magzamen, Sheryl, Fischer, Emily V., Pierce, Jeffrey R. | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, 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, 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 | |
| Climate-Driven Changes in Wildfire Seasonality Across North America | Fan, Fanglu, Tao, Chenliang, Zhang, Yuqiang, Shindell, Drew, Zhang, Hongliang | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Disentangling conservation asymmetries through socio-economic | Montti, Lia, Gasparri, N. Ignacio, Trumper, Ahuvit, Amicone, Claudia, Anticoli, Alberto, Burns, Sarah L., Casertano, Sergio, Eleuterio, Ana, Gennerich, MarieJoe, Giessen, Lukas, Gonzalez, M. Virginia, Santos Silva, Manuel, Vazquez, Fabricio, Velazco, Santiago J. E., Yanosky, Alberto, Zurita, Gustavo A., PiquerRodriguez, Maria | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Drought indices predict changes in live fuel moisture content (LFMC) | Liu, Xiangzhuo, Martin-StPaul, Nicolas, Ruffault, Julien, Lai, Gengke, Raynal, Kevyn, Raquel, RodriguezSuquet, Wang, Huan, Parsons, Russell, Dupuy, Jean-Luc, Pimont, Francois | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Increasing synchronicity of global extreme fire weather | Yin, Cong, Abatzoglou, John T., Jones, Matthew W., Cullen, Alison C., Sadegh, Mojtaba, Wang, Juanle, Liu, Yangxiaoyue | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Millennial-scale fire and climate dynamics in the world's largest | Whitney, Bronwen S., Neves, Danilo M., Loughlin, Nicholas J.D., D'Apolito, Carlos, Coblinski Tavares, Carla, Hocking, Emma P., Mayle, Francis E., Power, Mitchell J., Silva, Aguinaldo, Assine, Mario L. | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Satellite-Based Fraction of Available Water Reveals Soil Moisture Deficits Preceding Major Wildfires | Goffin, Benjamin D., Fernandez, Alfonso, Etchanchu, Jordi, Fang, Bin, Lakshmi, Venkataraman | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, RADAR IMAGERY, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Topographical Relief Maps, Plant Phenology, Enhanced Vegetation Index (EVI), Brightness Temperature, Surface Soil Moisture, SIGMA NAUGHT | |
| The dynamic response of vegetation water use efficiency to wildfire | Xi, Huipeng, Wang, Qunming, Atkinson, Peter M. | Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Statistical Modeling of Wildfire Occurrence Based on Geomorphometry in La Amistad International Park's Buffer Zone | Chou-Chen, Shu Wei, Quesada-Roman, Adolfo, Vargas-Sanabria, Daniela | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Temperature and Moisture Variability Drive Resilience Shifts in Canada's | Yang, Chenlin, Cui, Tianxiang, Fan, Lei, Wang, Jian, Wigneron, Jean-Pierre | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Spatiotemporal patterns of surface temperature response to forest harvest in Europe | Huang, Bo, Li, Yan, Zhang, Xia, Stadler, Konstantin, Cherubini, Francesco | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Land Surface Temperature, Emissivity | |
| Spatiotemporal dynamic of global fires and their effects on land cover | Tian, Peng, Wu, Shenghao, Yan, Yanyun, Xiao, Derong, Li, Jialin, Liu, Yongchao, Zhang, Haitao, Ying, Chao | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Unprecedented Amazonian rainforests damage during the 20232024 droughts | Bai, Hao, Liu, Xiangzhuo, Yang, Hui, Chave, Jerome, Ciais, Philippe, Wigneron, Jean-Pierre, Saatchi, Sassan, Xiao, Jingfeng, Le Toan, Thuy, Hu, Xiaomei, Yang, Ziyan, Wang, Lijun, Fan, Lei, Yao, Yitong, Chen, Xiuzhi, Liu, Yanxu, Xue, Baolin, Guo, Qinghua, Tang, Zhiyao, Liu, Hongyan, Fang, Jingyun, Tao, Shengli | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, VEGETATION HEIGHT, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Anisotropy | |
| Widespread biophysical cooling effects due to post-fire greening | Xi, Huipeng, Wang, Qunming, Xiao, Yuelong, Guo, Ru, Tong, Xiaohua, Atkinson, Peter M. | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Albedo, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Plant Phenology, Enhanced Vegetation Index (EVI), Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Burned Area, Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Warmer climate disrupts the trade-off between post-fire loss and recovery of grassland GPP | Cui, Guishan, Ding, Yitong, Xu, Zhen | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| 2022 McKinney rain-on-wildfire event, dissolved oxygen sags, and a fish kill on the Klamath River, California | Curtis, Jennifer A., Johnson, Grant S., Cahill, Josh D., Genzoli, Laurel, Dahm, Cliff N., Schenk, Liam N., Oberholzer, John R. | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| A 30-meter resolution global land productivity dynamics dataset from 2013 to 2022 | Li, Xiaosong, Shen, Tong, Garcia, Cesar Luis, Teich, Ingrid, Chen, Yang, Chen, Jin, Kabo-Bah, Amos Tiereyangn, Yang, Ziyu, Jia, Xiaoxia, Lu, Qi, Nyamtseren, Mandakh | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Reflectance | |
| A field and remote sensing assessment of rates and drivers of tree cover loss in island catchments: variation in global model accuracy | Metherall, Nicholas, Beavis, Sara, Naikatini, Alivereti, Wales, Nathan, Holland, Elisabeth, Waqa-Sakiti, Hilda, Tuiwawa, Marika | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| A Generalized Spatiotemporally Weighted Boosted Regression to Predict | Wu, Ritu, Hong, Zhimin, Du, Wala, Shan, Yu, Ying, Hong, Wu, Rihan, Gantumur, Byambakhuu | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Compound dry and hot extremes and their implications for fire activity over the Orinoco River Basin in northern South America | Arias, Paola A., Fernandez-Berrio, Alejandra, Bedoya-Pineda, Valeria, Acevedo-Ortiz, M. Yurani, Martinez, J. Alejandro | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| 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 | |
| An Observation-Driven Framework for Modeling Post-Fire Hydrologic | Lahmers, Timothy M., Kumar, Sujay V., Ahmad, Shahryar K., Holmes, Thomas, Getirana, Augusto, Orland, Elijah, Locke, Kim, Biswas, Nishan Kumar, Nie, Wanshu, Pflug, Justin, Whitney, Kristen, Anderson, Martha, Yang, Yun | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Assessing CO2 Emissions from Deforestation and Fires in Bolivia during 2010-2023 | Andersen, Lykke E., Argandona Gonzales, Fabiana Karina, Olmos, Carla, Calderon, Diego, Miranda, Sebastian, Munoz Quisberth, Alvaro Mauricio, Choque Sunagua, Sergio | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Assessing the impact of landcover change on soil organic carbon stocks | NunezHidalgo, Ignacio, Pfeiffer, Marco, Lira, Erick, Alaniz, Alberto J., Gaxiola, Aurora | Reflectance, Anisotropy, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Total Surface Water |
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 |
|---|---|---|---|---|---|---|---|
| Burn Date | Burn day of year | Day | int16 | -2 | 1 to 366 | N/A | N/A |
| Burn Date Uncertainty | Estimated uncertainty in burn day | Day | uint8 | 0 | 0 to 100 | N/A | N/A |
| First Day | First day of the year of reliable change detection | Day | int16 | -2 | 1 to 366 | N/A | N/A |
| Last Day | Last day of the year of reliable change detection | Day | int16 | -2 | 1 to 366 | N/A | N/A |
| QA | Quality Assurance Indicators | Bit Field | uint8 | N/A | 0 to 255 | N/A | N/A |