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 |
|---|---|---|---|
| Annual 30-m maps of global grassland class and extent (20002022) based on spatiotemporal Machine Learning | Parente, Leandro, Sloat, Lindsey, Mesquita, Vinicius, Consoli, Davide, Stanimirova, Radost, Hengl, Tomislav, Bonannella, Carmelo, Teles, Nathalia, Wheeler, Ichsani, Hunter, Maria, Ehrmann, Steffen, Ferreira, Laerte, Mattos, Ana Paula, Oliveira, Bernard, Meyer, Carsten, Sahin, Murat, Witjes, Martijn, Fritz, Steffen, Malek, Ziga, Stolle, Fred | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Aerosol Optical Depth/Thickness, Land Surface Temperature, Emissivity | |
| Exploring spatial machine learning techniques for improving land surface temperature prediction | Arunab, K.S., Mathew, Aneesh | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Land Surface Temperature, Emissivity, Land Use/Land Cover Classification, Aerosol Optical Depth/Thickness | |
| Green spaces provide substantial but unequal urban cooling globally | Li, Yuxiang, Svenning, Jens-Christian, Zhou, Weiqi, Zhu, Kai, Abrams, Jesse F., Lenton, Timothy M., Ripple, William J., Yu, Zhaowu, Teng, Shuqing N., Dunn, Robert R., Xu, Chi | Aerosol Optical Depth/Thickness, Albedo, Anisotropy | |
| Heatwave vulnerability of large metropolitans in Bangladesh: An evaluation | Adnan, Mohammed Sarfaraz Gani, Kabir, Irfat, Hossain, Md Alamgir, Chakma, Salit, Tasneem, Syeda Nazifa, Saha, Champa Rani, Hassan, Quazi K., Dewan, Ashraf | Aerosol Optical Depth/Thickness | |
| High resolution mapping of nitrogen dioxide and particulate matter in Great Britain (20032021) with multi-stage data reconstruction and ensemble machine learning methods | de la Cruz Libardi, Arturo, Masselot, Pierre, Schneider, Rochelle, Nightingale, Emily, Milojevic, Ai, Vanoli, Jacopo, Mistry, Malcolm N., Gasparrini, Antonio | Nitrogen Dioxide, Aerosol Optical Depth/Thickness, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US | Huang, Jingting, Loria-Salazar, S. Marcela, Deng, Min, Lee, Jaehwa, Holmes, Heather A. | Aerosol Optical Depth/Thickness, Angstrom Exponent | |
| Is the smoke aloft? Caveats regarding the use of the Hazard Mapping System (HMS) smoke product as a proxy for surface smoke presence across the United States | Liu, Tianjia, Panday, Frances Marie, Caine, Miah C., Kelp, Makoto, Pendergrass, Drew C., Mickley, Loretta J., Ellicott, Evan A., Marlier, Miriam E., Ahmadov, Ravan, James, Eric P. | Aerosol Optical Depth/Thickness | |
| Land potential assessment and trend-analysis using 20002021 FAPAR monthly time-series at 250 m spatial resolution | Hacklander, Julia, Parente, Leandro, Ho, Yu-Feng, Hengl, Tomislav, Simoes, Rolf, Consoli, Davide, Sahin, Murat, Tian, Xuemeng, Jung, Martin, Herold, Martin, Duveiller, Gregory, Weynants, Melanie, Wheeler, Ichsani | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Aerosol Optical Depth/Thickness, Land Surface Temperature, Emissivity | |
| urbisphere -Berlin campaign: Investigating multi-scale urban impacts on the atmospheric boundary layer | Fenner, Daniel, Christen, Andreas, Grimmond, Sue, Meier, Fred, Morrison, William, Zeeman, Matthias, Barlow, Janet, Birkmann, Jorn, Blunn, Lewis, Chrysoulakis, Nektarios, Clements, Matthew, Glazer, Russell, Hertwig, Denise, Kotthaus, Simone, Konig, Kai, Looschelders, Dana, Mitraka, Zina, Poursanidis, Dimitris, Tsirantonakis, Dimitris, Bechtel, Benjamin, Benjamin, Kit, Beyrich, Frank, Briegel, Ferdinand, Feigel, Gregor, Gertsen, Carlotta, Iqbal, Nimra, Kittner, Jonas, Lean, Humphrey, Liu, Yiqing, Luo, Zhiwen, McGrory, Megan, Metzger, Swen, Paskin, Matthew, Ravan, Marvin, Ruhtz, Thomas, Saunders, Bethany, Scherer, Dieter, Smith, Stefan Thor, Stretton, Megan, Trachte, Katja, Van Hove, Melania | Aerosol Optical Depth/Thickness, Land Surface Temperature, Emissivity | |
| Wildfire aerosols and their impact on weather: A case study of the August 2021 fires in Greece using the WRFChem model | Rovithakis, Anastasios, Voulgarakis, Apostolos | Aerosol Optical Depth/Thickness | |
| Spatial and temporal dynamics of urban heat environment at the township | Wang, Dongchao, Cao, Jianfei, Zhang, Baolei, Kong, Kangning, Wang, Run | Aerosol Optical Depth/Thickness | |
| Spatiotemporal Variability of Aerosol Optical Depth Over the Arabian Peninsula Using MODIS Data | Abuelgasim, Abdelgadir, Farahat, Ashraf | Aerosol Optical Depth/Thickness | |
| Satellite-Detected Anomalous Changes in Parameters of Various Geophysical Fields During Earthquakes of 6 M 7.8 in Turkiye in February 2023 | Bondur, Valeriy, Tsidilina, Marina, Efremycheva, Elena, Voronova, Olga, Gaponova, Mariya, Feoktistova, Natalya, Zima, Alla | Aerosol Optical Depth/Thickness | |
| Synergy of Urban Heat, Pollution, and Social Vulnerability in One of | Blackford, Andrew, Cowan, Trent, Nair, Udaysankar, Phillips, Christopher, Kaulfus, Aaron, Freitag, Brian | Aerosol Optical Depth/Thickness, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Two decades of aerosol trends over India: seasonal characteristics and | Namdeo, Prathmesh, Chakraborty, TC, Chakraborty, Abhishek | Aerosol Optical Depth/Thickness | |
| Wavelet local multiple correlation analysis of long-term AOD, LST, and NDVI time-series over different climatic zones of India | Kadaverugu, Rakesh, Nandeshwar, Sukeshini, Biniwale, Rajesh | Reflectance, Aerosol Optical Depth/Thickness, Land Surface Temperature, Emissivity | |
| Diurnal to seasonal variability of aerosols above the Mediterranean | Kaskaoutis, Dimitris G., Stavroulas, Iasonas, Bougiatioti, Aikaterini, Gerasopoulos, Evangelos, Mihalopoulos, Nikolaos, Alastuey, Andres, Minguillon, Maria Cruz, Rashki, Alireza, Sciare, Jean, Titos, Gloria | Aerosol Optical Depth/Thickness | |
| Downwind Ozone Changes of the 2019 Williams Flats Wildfire: Insights | Pouyaei, Arman, Mizzi, Arthur P., Choi, Yunsoo, Mousavinezhad, Seyedali, Khorshidian, Nima | Carbon And Hydrocarbon Compounds, Nitrogen Dioxide, 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 | |
| Characteristics of Remotely Sensed Urban Pollution Island (UPI) & its Linkage with Surface Urban Heat Island (SUHI) over Eastern India | Barat, Archisman, Parth Sarthi, P. | Aerosol Optical Depth/Thickness, Land Surface Temperature, Emissivity, 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 | |
| Changes in air pollution, land surface temperature, and urban heat islands during the COVID-19 lockdown in three Chinese urban agglomerations | Feng, Zihao, Wang, Xuhong, Yuan, Jiaxin, Zhang, Ying, Yu, Mengqianxi | Land Surface Temperature, Emissivity, Aerosol Optical Depth/Thickness, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Machine learning-based spatial data development for optimizing | Sakti, Anjar Dimara, Zakiar, Muhammad Rizky, Santoso, Cokro, Windasari, Nila Armelia, Jaelani, Anton Timur, Damayanti, Seny, Anggraini, Tania Septi, Putri, Anissa Dicky, Hudalah, Delik, Deliar, Albertus | Aerosol Optical Depth/Thickness | |
| Aerosol optical depth climatology from the high-resolution MAIAC product | Di Antonio, Ludovico, Di Biagio, Claudia, Foret, Gilles, Formenti, Paola, Siour, Guillaume, Doussin, Jean-Francois, Beekmann, Matthias | Aerosol Optical Depth/Thickness | |
| An optimized semi-empirical physical approach for satellite-based PM retrieval: embedding machine learning to simulate complex physical parameters | Jin, Caiyi, Yuan, Qiangqiang, Li, Tongwen, Wang, Yuan, Zhang, Liangpei | Aerosol Optical Depth/Thickness | |
| An Estimation of Daily PM2.5 Concentration in Thailand Using Satellite | Buya, Suhaimee, Usanavasin, Sasiporn, Gokon, Hideomi, Karnjana, Jessada | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Aerosol Optical Depth/Thickness, Land Surface Temperature, Emissivity | |
| A satellite-based hybrid model for trophic state evaluation in inland | Liu, Yongxin, Ke, Yinghai, Wu, Huan, Zhang, Chenlu, Chen, Xiuwan | Aerosol Optical Depth/Thickness |