N: 90 S: -90 E: 180 W: -180
Description
The MCD19A1 Version 6.1 data product is a Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined Land Surface Bidirectional Reflectance Factor (BRF) gridded Level 2 product produced daily at 500 meter (m) and 1 kilometer (km) pixel resolutions. The MCD19A1 product is corrected for atmospheric gases and aerosols using a Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm that is based on a time series analysis and a combination of pixel- and image-based processing. The MODIS MAIAC Land Surface BRF products provide an estimate of the surface spectral reflectance as it would be measured at ground-level in the absence of atmospheric scattering or absorption.
The MCD19A1 MAIAC Surface Reflectance data product includes 31 Science Dataset (SDS) layers: surface reflectance for bands 1-12, BRF uncertainty for bands 1-2, Quality Assessment (QA) bits at 1 km, surface reflectance for bands 1-7 at 500 m, cosine of solar zenith angle, cosine of view zenith angle, relative azimuth angle, scattering angle, solar azimuth angle, view azimuth angle, glint angle, RossThick/Li-Sparse (RTLS) volumetric kernel, and RTLS geometric kernel at 5 km. A low-resolution browse image is also included showing surface reflectance band combination 1, 4, 3 created using a composite of all available orbits.
Each SDS layer within each MCD19A1 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
- Known issues are described in Section 6 of the User Guide.
- 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 (MCD19A1) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2025272), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025273155842), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
SCIENCE DATA PRODUCT VALIDATION
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Multi-Frequency Radiometry for Multi-Year Monitoring of Relative Water Content In A Temperate Forest | Hellwig, Florian M., Jagdhuber, Thomas, Fluhrer, Anke, Dubois, Clemence, Chaparro, David, Schellenberg, Konstantin, Piles, Maria, Schmullius, Christiane, Entekhabi, Dara | Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Snow Grain Size, Snow Cover | |
| AnisoVeg: Anisotropy and Nadir-normalized MODIS MAIAC datasets for satellite vegetation studies in South America | Dalagnol, Ricardo, Galvao, Lenio Soares, Wagner, Fabien Hubert, de Moura, Yhasmin Mendes, Goncalves, Nathan, Wang, Yujie, Lyapustin, Alexei, Yang, Yan, Saatchi, Sassan, Aragao, Luiz Eduardo Oliveira Cruz | Reflectance, Snow Grain Size, Snow Cover | |
| Regionalscale wilting point estimation using satellite SIF, radiativetransfer inversion, and soilvegetationatmosphere transfer simulation: A grassland study | Kiyono, T., Noda, H. M., Kumagai, T., Oshio, H., Yoshida, Y., Matsunaga, T., Hikosaka, K. | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Vegetation Cover, Land Use/Land Cover Classification, Snow Grain Size, Snow Cover, Land Surface Temperature, Emissivity | |
| Retrieval of UVvisible aerosol absorption using AERONET and OMIMODIS synergy: spatial and temporal variability across major aerosol environments | Kayetha, Vinay, Torres, Omar, Jethva, Hiren | Reflectance, Snow Grain Size, Snow Cover | |
| New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests | Hashimoto, Hirofumi, Wang, Weile, Dungan, Jennifer L., Li, Shuang, Michaelis, Andrew R., Takenaka, Hideaki, Higuchi, Atsushi, Myneni, Ranga B., Nemani, Ramakrishna R. | Reflectance, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Snow Grain Size, Snow Cover | |
| Diurnal and seasonal trends and associated determinants of surface urban heat islands in large Bangladesh cities | Dewan, Ashraf, Kiselev, Grigory, Botje, Dirk | Albedo, Anisotropy, Reflectance, Land Surface Temperature, Emissivity, Land Use/Land Cover Classification, Snow Grain Size, Snow Cover | |
| Exploratory analysis of carbonaceous PM2.5 species in urban environmentsRelationship with meteorological variables and satellite data | Amarillo, Ana, Carreras, Hebe, Krisna, Trismono, Mignola, Marcos, Tavera Busso, Ivan, Wendisch, Manfred | Aerosol Optical Depth/Thickness, Reflectance, Snow Grain Size, Snow Cover | |
| Forest Canopy Changes in the Southern Amazon during the 2019 Fire Season | Zhang, Huixian, Hagan, Daniel Fiifi Tawia, Dalagnol, Ricardo, Liu, Yi | Reflectance, Snow Grain Size, Snow Cover, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Land Use/Land Cover Classification, Burned Area | |
| Importance of the legacy effect for assessing spatiotemporal correspondence between interannual tree-ring width and remote sensing products in the Sierra ... | Wong, Christopher Y.S., Young, Derek J.N., Latimer, Andrew M., Buckley, Thomas N., Magney, Troy S. | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Reflectance, Snow Grain Size, Snow Cover | |
| Improved 1-km-resolution hourly estimates of aerosol optical depth using conditional generative adversarial networks | Zhang, Luo, Liu, Peng, Wang, Lizhe, Liu, Jianbo, Song, Bingze, Zhang, Yuwei, He, Guojin, Zhang, Hui | Aerosol Optical Depth/Thickness, Reflectance, Snow Grain Size, Snow Cover | |
| Large-scale commodity agriculture exacerbates the climatic impacts of Amazonian deforestation | Maeda, Eduardo Eiji, Abera, Temesgen Alemayehu, Siljander, Mika, Aragao, Luiz E. O. C., Moura, Yhasmin Mendes de, Heiskanen, Janne | Emissivity, Land Surface Temperature, Evapotranspiration, Latent Heat Flux, Reflectance, Snow Grain Size, Snow Cover | |
| Prototyping of LAI and FPAR Retrievals From GOES-16 Advanced Baseline | Chen, Yepei, Sun, Kaimin, Li, Wenzhuo, Chen, Chi, Li, Pengfei, Bai, Ting, Park, Taejin, Wang, Weile, Nemani, Ramakrishna R., Myneni, Ranga B. | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Reflectance, Snow Grain Size, Snow Cover | |
| Small anomalies in dry-season greenness and chlorophyll fluorescence for Amazon moist tropical forests during El Nino and La Nina | Doughty, Russell, Xiao, Xiangming, Qin, Yuanwei, Wu, Xiaocui, Zhang, Yao, Moore, Berrien | Total Surface Precipitation Rate, Reflectance, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Snow Grain Size, Snow Cover | |
| Spatial covariation between solar-induced fluorescence and vegetation indices from Arctic-Boreal landscapes | Maguire, Andrew J, Eitel, Jan U H, Magney, Troy S, Frankenberg, Christian, Kohler, Philipp, Orcutt, Erica L, Parazoo, Nicholas C, Pavlick, Ryan, Pierrat, Zoe A | Reflectance, Snow Grain Size, Snow Cover | |
| Land Surface Temperature Trend and Its Drivers in East Africa | Abera, Temesgen Alemayehu, Heiskanen, Janne, Maeda, Eduardo Eiji, Pellikka, Petri K. E. | Reflectance, Anisotropy, Albedo, Snow Grain Size, Snow Cover, Land Surface Temperature, Emissivity, Evapotranspiration, Latent Heat Flux, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Adjustments to SIF Aid the Interpretation of Drought Responses at the Caatinga of Northeast Brazil | Bontempo, Edgard, Dalagnol, Ricardo, Ponzoni, Flavio, Valeriano, Dalton | Total Surface Precipitation Rate, Emissivity, Land Surface Temperature, Reflectance, Snow Grain Size, Snow Cover | |
| Extensive 21st-century woody encroachment in South America's savanna | Rosan, Thais M., Aragao, Luiz E.O.C., Oliveras, Imma, Phillips, Oliver L., Malhi, Yadvinder, Gloor, Emanuel, Wagner, Fabien H. | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Reflectance, Snow Grain Size, Snow Cover | |
| 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 | |
| Changes in leaf functional traits of rainforest canopy trees associated with an El Nino event in Borneo | Nunes, M H, Both, S, Bongalov, B, Brelsford, C, Khoury, S, Burslem, D F R P, Philipson, C, Majalap, N, Riutta, T, Coomes, D A, Cutler, M E J | Reflectance, Snow Grain Size, Snow Cover | |
| MODIS collection 6 MAIAC algorithm | Lyapustin, Alexei, Wang, Yujie, Korkin, Sergey, Huang, Dong | Aerosol Optical Depth/Thickness, Reflectance, Snow Grain Size, Snow Cover | |
| Life cycle of bamboo in the southwestern Amazon and its relation to fire events | Dalagnol, Ricardo, Wagner, Fabien Hubert, Galvao, Lenio Soares, Nelson, Bruce Walker, Aragao, Luiz Eduardo Oliveira e Cruz de | Fire Occurrence, Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Reflectance, Snow Grain Size, Snow Cover |
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 |
|---|---|---|---|---|---|---|---|
| cosSZA | Cosine of Solar zenith angle (5 km) | N/A | int16 | -28672 | 0 to 10000 | 0.0001 | N/A |
| cosVZA | Cosine View zenith angle (5 km) | N/A | int16 | -28672 | 0 to 10000 | 0.0001 | N/A |
| Fg | RTLS geometric kernel (5 km) | N/A | float32 | -99999 | -100 to 100 | N/A | N/A |
| Fv | RTLS volumetric kernel (5 km) | N/A | float32 | -99999 | -100 to 100 | N/A | N/A |
| Glint_Angle | Glint Angle (5 km) | N/A | int16 | -28672 | -18000 to 18000 | 0.01 | N/A |
| RelAZ | Relative azimuth angle (5 km) | N/A | int16 | -28672 | -18000 to 18000 | 0.01 | N/A |
| SAZ | Solar Azimuth Angle (5 km) | N/A | int16 | -28672 | -18000 to 18000 | 0.01 | N/A |
| Scattering_Angle | Scattering Angle (5 km) | N/A | int16 | -28672 | -18000 to 18000 | 0.01 | N/A |
| Sigma_BRFn1 | BRFn uncertainty over time, for band 1 (1 km) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sigma_BRFn2 | BRFn uncertainty over time, for band 2 (1 km) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Status_QA | QA bits (1 km) | N/A | uint16 | 0 | 1 to 65535 | N/A | N/A |
| Sur_ref2 | Surface reflectance for band 2 (1 km) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sur_ref3 | Surface reflectance for band 3 (1 km) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sur_ref4 | Surface reflectance for band 4 (1 km) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sur_ref5 | Surface reflectance for band 5 (1 km) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sur_ref6 | Surface reflectance for band 6 (1 km) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sur_ref7 | Surface reflectance for band 7 (1 km) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sur_ref8 | Surface reflectance for band 8 (1 km) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sur_ref9 | Surface reflectance for band 9 (1 km) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sur_ref10 | Surface reflectance for band 10 (1 km) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sur_ref11 | Surface reflectance for band 11 (1 km) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sur_ref12 | Surface reflectance for band 12 (1 km) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sur_refl1 | Surface reflectance for band 1 (1 km) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sur_refl_500m1 | Surface reflectance 500 m for band 1 (500 m) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sur_refl_500m2 | Surface reflectance 500 m for band 2 (500 m) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sur_refl_500m3 | Surface reflectance 500 m for band 3 (500 m) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sur_refl_500m4 | Surface reflectance 500 m for band 4 (500 m) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sur_refl_500m5 | Surface reflectance 500 m for band 5 (500 m) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sur_refl_500m6 | Surface reflectance 500 m for band 6 (500 m) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| Sur_refl_500m7 | Surface reflectance 500 m for band 7 (500 m) | N/A | int16 | -28672 | -100 to 16000 | 0.0001 | N/A |
| VAZ | View Azimuth Angle (5 km) | N/A | int16 | -28672 | -18000 to 18000 | 0.01 | N/A |