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Description
The MYD17A2H Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MYD17A2H Version 6.1 data product.
The MYD17A2H Version 6 Gross Primary Productivity (GPP) product is a cumulative 8-day composite of values with 500 meter (m) pixel size based on the radiation use efficiency concept that can be potentially used as inputs to data models to calculate terrestrial energy, carbon, water cycle processes, and biogeochemistry of vegetation. The data product includes information about GPP and Net Photosynthesis (PSN). The PSN band values are the GPP minus the Maintenance Respiration (MR). The data product also contains a PSN Quality Control (QC) layer. The quality layer contains quality information for both the GPP and the PSN.
The following changes and improvements were implemented for inputs to MODIS Version 6 gross primary productivity data product: (1) The product uses updated Biome Property look-up tables (BPLUT) and an updated version of the daily Global Modeling and Assimilation Office (GMAO) meteorological data, and (2) The products are now generated at the native resolution of 500 m using the Moderate Resolution Imaging Spectroradiometer (MODIS) Leaf Area Index(LAI)/Fraction of Photosynthetically Active Radiation (FPAR) (MOD15A2H) 8-day composite at 500 m resolution.
Land Processes Distributed Active Archive Center (LP DAAC)
,
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)
Concept ID
C2763370685-LPCLOUD
Data State
DEPRECATED
Number of Files/Granules
0
Processing Level
4
Published
Updated
Science Keywords
Photosynthesis
,
Primary Production
,
VEGETATION PRODUCTIVITY
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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Citation Copied
Running, S., Mu, Q., & Zhao, M. (2015). MYD17A2H MODIS/Aqua Gross Primary Productivity 8-Day L4 Global 500m SIN Grid V006 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MYD17A2H.006 Date Accessed: 2026-05-02
Running, Steve, Qiaozhen Mu, and Maosheng Zhao. “MYD17A2H MODIS/Aqua Gross Primary Productivity 8-Day L4 Global 500m SIN Grid V006.” NASA Land Processes Distributed Active Archive Center, 2015. doi:10.5067/MODIS/MYD17A2H.006. Date Accessed: 2026-05-02
Running, Steve, et al. MYD17A2H MODIS/Aqua Gross Primary Productivity 8-Day L4 Global 500m SIN Grid V006. NASA Land Processes Distributed Active Archive Center, 2015, doi:10.5067/MODIS/MYD17A2H.006. Date Accessed: 2026-05-02
File Naming Convention
MYD17A2H.A2002273.h05v13.006.2015151191510.hdf
The file name begins with the Product Short Name (MYD17A2H) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002273), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h05v13), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2015151191510), and the Data Format (hdf).
de Oliveira, Michele L., dos Santos, Carlos A.C., de Oliveira, Gabriel, Silva, Madson T., da Silva, Bernardo B., Cunha, John E. de B.L., Ruhoff, Anderson, Santos, Celso A.G.
Hilario, Renato R., Silvestre, Saulo M., Abreu, Filipa, BeltraoMendes, Raone, de Castro, Carla S. S., Chagas, Renata R. D., De la Fuente, Maria F., Duarte, Marina H. L., Ferrari, Stephen F., Passamani, Marcelo, Schiel, Nicola, Souto, Antonio, Young, Robert J., SouzaAlves, Joao P.
Park, Taejin, Chen, Chi, MaciasFauria, Marc, Tmmervik, Hans, Choi, Sungho, Winkler, Alexander, Bhatt, Uma S., Walker, Donald A., Piao, Shilong, Brovkin, Victor, Nemani, Ramakrishna R., Myneni, Ranga B.
Suttidate, Naparat, Hobi, Martina L., Pidgeon, Anna M., Round, Philip D., Coops, Nicholas C., Helmers, David P., Keuler, Nicholas S., Dubinin, Maxim, Bateman, Brooke L., Radeloff, Volker C.
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.