N: 90 S: -90 E: 180 W: -180
Description
The MCD19A2 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MCD19A2 Version 6.1 data product.
The MCD19A2 Version 6 data product is a Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined Multi-angle Implementation of Atmospheric Correction (MAIAC) Land Aerosol Optical Depth (AOD) gridded Level 2 product produced daily at 1 kilometer (km) pixel resolution. The MCD19A2 product provides the atmospheric properties and view geometry used to calculate the MAIAC Land Surface Bidirectional Reflectance Factor (BRF) or surface reflectance, MCD19A1 product.
The MCD19A2 AOD data product contains the following Science Dataset (SDS) layers: blue band AOD at 0.47 µm, green band AOD at 0.55 µm, AOD uncertainty, fine mode fraction over water, column water vapor over land and clouds (in cm), smoke injection height (m above ground), AOD QA, AOD model at 1km, cosine of solar zenith angle, cosine of view zenith angle, relative azimuth angle, scattering angle, and glint angle at 5km. A low-resolution browse image is also included showing AOD of the blue band at 0.47 µm created using a composite of all available orbits.
Each SDS layer within each MCD19A2 Hierarchical Data Format 4 (HDF4) file contains a third dimension that represents the number of orbit overpasses. This factor could affect the total number of bands for each SDS layer.
Known Issues
- The longname in the internal metadata is provided incorrectly. The correct longname is "MODIS/Terra and Aqua MAIAC Land Aerosol Optical Depth Daily L2G 1 km SIN Grid."
- Additional known issues are described on page 14 of the User Guide.
- For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.
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 (MCD19A2) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002281), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h33v11), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2018017104530), 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 |
|---|---|---|---|
| Investigating the significance of aerosols in determining the Coronavirus fatality rate among three European countries | Li, Wenzhao, Thomas, Rejoice, El-Askary, Hesham, Piechota, Thomas, Struppa, Daniele, Abdel Ghaffar, Khaled A. | Aerosol Optical Depth/Thickness | |
| Limitations of cloud cover for optical remote sensing of agricultural areas across South America | Prudente, Victor Hugo Rohden, Martins, Vitor Souza, Vieira, Denis Corte, Silva, Nildson Rodrigues de Franca e, Adami, Marcos, Sanches, Ieda DelArco | Aerosol Optical Depth/Thickness, Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland | |
| Connecting crop productivity, residue fires, and air quality over northern India | Jethva, Hiren, Torres, Omar, Field, Robert D., Lyapustin, Alexei, Gautam, Ritesh, Kayetha, Vinay | Aerosol Optical Depth/Thickness, Land Surface Temperature, Fire Occurrence, Surface Thermal Properties, THERMAL ANOMALIES, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Aerosol Extinction | |
| First Provisional Land Surface Reflectance Product from Geostationary | Li, Shuang, Wang, Weile, Hashimoto, Hirofumi, Xiong, Jun, Vandal, Thomas, Yao, Jing, Qian, Lexiang, Ichii, Kazuhito, Lyapustin, Alexei, Wang, Yujie, Nemani, Ramakrishna | Aerosol Optical Depth/Thickness, Reflectance, Snow Grain Size, Snow Cover | |
| Impacts of increased urbanization on surface temperature, vegetation, and aerosols over Bengaluru, India | Sussman, Heather S., Raghavendra, Ajay, Zhou, Liming | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Plant Phenology, Land Surface Temperature, Emissivity, Aerosol Optical Depth/Thickness, Land Use/Land Cover Classification | |
| Accuracy assessment of MODIS land aerosol optical thickness algorithms using AERONET measurements over North America | Jethva, Hiren, Torres, Omar, Yoshida, Yasuko | Aerosol Optical Depth/Thickness, Reflectance, 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 | |
| Acute effects of air pollution on mortality: a 17-year analysis in Kuwait | Achilleos, Souzana, Al-Ozairi, Ebaa, Alahmad, Barrak, Garshick, Eric, Neophytou, Andreas M., Bouhamra, Walid, Yassin, Mohamed F., Koutrakis, Petros | Aerosol Optical Depth/Thickness | |
| Assessing uncertainties of a geophysical approach to estimate surface fine particulate matter distributions from satellite-observed aerosol optical depth | Jin, Xiaomeng, Fiore, Arlene M., Curci, Gabriele, Lyapustin, Alexei, Civerolo, Kevin, Ku, Michael, van Donkelaar, Aaron, Martin, Randall V. | Aerosol Optical Depth/Thickness | |
| MAIAC thermal technique for smoke injection height from MODIS | Lyapustin, Alexei, Wang, Yujie, Korkin, Sergey, Kahn, Ralph, Winker, David | Aerosol Optical Depth/Thickness | |
| Machine Learning-Based Integration of High-Resolution Wildfire Smoke | Zou, Yufei, ONeill, Susan M., Larkin, Narasimhan K., Alvarado, Ernesto C., Solomon, Robert, Mass, Clifford, Liu, Yang, Odman, M. Talat, Shen, Huizhong | Aerosol Optical Depth/Thickness | |
| Ground-Level PM2.5 Concentration Estimation from Satellite Data in the | Li, Ying, Xue, Yong, Guang, Jie, She, Lu, Fan, Cheng, Chen, Guili | Aerosol Optical Depth/Thickness | |
| MODIS collection 6 MAIAC algorithm | Lyapustin, Alexei, Wang, Yujie, Korkin, Sergey, Huang, Dong | Aerosol Optical Depth/Thickness, Reflectance, Snow Grain Size, Snow Cover |