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Description
The MCD43A4 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MCD43A4 Version 6.1 data product.
The Moderate Resolution Imaging Spectroradiometer (MODIS) MCD43A4 Version 6 Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) dataset is produced daily using 16 days of Terra and Aqua MODIS data at 500 meter (m) resolution. The view angle effects are removed from the directional reflectances, resulting in a stable and consistent NBAR product. Data are temporally weighted to the ninth day which is reflected in the Julian date in the file name.
Users are urged to use the band specific quality flags to isolate the highest quality full inversion results for their own science applications as described in the User Guide.
The MCD43A4 provides NBAR and simplified mandatory quality layers for MODIS bands 1 through 7. Essential quality information provided in the corresponding MCD43A2 data file should be consulted when using this product.
Known Issues
The incorrect representation of the aerosol quantities (low average high) in the C6 MYD09 and MOD09 surface reflectance products may have impacted downstream products particularly over arid bright surfaces. This (and a few other issues) have been corrected for C6.1. Therefore users should avoid substantive use of the C6 MCD43 products and wait for the C6.1 products. In any event, users are always strongly encouraged to download and use the extensive QA data provided in MCD43A2, in addition to the briefer mandatory QAs provided as part of the MCD43A1, 3, and 4 products.
Corrections were implemented in Collection 6.1 reprocessing.
The following changes and improvements were implemented for inputs to MODIS Version 6 BRDF/Albedo Parameter data products: (1) Observations are weighted to estimate the BRDF/Albedo on the ninth day of the 16-day period, (2) Products utilize the snow status weighted to the ninth day, (3) Enhanced quality at high latitudes achieved through the utilization of all available observations during the acquisition period, (4) Products utilize L2G-lite surface reflectance as input, and (5) In instances where there are insufficient high-quality reflectances, a database containing archetypal BRDF parameters is employed to supplement the observational data and perform a lower-quality magnitude inversion.
Land Processes Distributed Active Archive Center (LP DAAC)
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School for the Environment, University of Massachusetts, Boston (UMASS-B/SFE)
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MODIS Adaptive Processing System, Terrestrial Information Systems Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA (NASA/GSFC/SED/ESD/TISL/MODAPS)
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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Citation Copied
Schaaf, C., & Wang, Z. (2015). MCD43A4 MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF Adjusted Ref Daily L3 Global - 500m V006 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MCD43A4.006 Date Accessed: 2026-05-17
Schaaf, Crystal, and Zhuosen Wang. “MCD43A4 MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF Adjusted Ref Daily L3 Global - 500m V006.” NASA Land Processes Distributed Active Archive Center, 2015. doi:10.5067/MODIS/MCD43A4.006. Date Accessed: 2026-05-17
Schaaf, Crystal, and Zhuosen Wang. MCD43A4 MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF Adjusted Ref Daily L3 Global - 500m V006. NASA Land Processes Distributed Active Archive Center, 2015, doi:10.5067/MODIS/MCD43A4.006. Date Accessed: 2026-05-17
File Naming Convention
MCD43A4.A2002272.h16v16.006.2016132202805.hdf
The file name begins with the Product Short Name (MCD43A4) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002272), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h16v16), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2016132202805), and the Data Format (hdf).
Xia, Yushu, Sanderman, Jonathan, Watts, Jennifer D., Machmuller, Megan B., Mullen, Andrew L., Rivard, Charlotte, Endsley, Arthur, Hernandez, Haydee, Kimball, John, Ewing, Stephanie A., Litvak, Marcy, Duman, Tomer, Krishnan, Praveena, Meyers, Tilden, Brunsell, Nathaniel A., Mohanty, Binayak, Liu, Heping, Gao, Zhongming, Chen, Jiquan, Abraha, Michael, Scott, Russell L., Flerchinger, Gerald N., Clark, Patrick E., Stoy, Paul C., Khan, Anam M., Brookshire, E. N. Jack, Zhang, Quan, Cook, David R., Thienelt, Thomas, Mitra, Bhaskar, MauritzTozer, Marguerite, Tweedie, Craig E., Torn, Margaret S., Billesbach, Dave
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.