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Description

The MOD17A2HGF Version 6.1 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 Terra Moderate Resolution Imaging Spectroradiometer (MODIS) data product includes information about GPP and Net Photosynthesis (PSN). The PSN band values are the GPP less 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 MOD17A2HGF will be generated at the end of each year when the entire yearly 8-day MOD15A2H is available. Hence, the gap-filled MOD17A2HGF is the improved MOD17, which has cleaned the poor-quality inputs from 8-day Leaf Area Index and Fraction of Photosynthetically Active Radiation (FPAR/LAI) based on the Quality Control (QC) label for every pixel. If any LAI/FPAR pixel did not meet the quality screening criteria, its value is determined through linear interpolation. However, users cannot get MOD17A2HGF in near-real time because it will be generated only at the end of a given year.

Known Issues

Version Description

The following changes and improvements were implemented for inputs to MODIS Version 6.1 GPP data products: (1) Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 – 2017, (2) A polarization correction has been applied to the L1B Reflective Solar Bands (RSB), and (3) The product uses Climatology Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) as back up to the operational LAI/FPAR.

Product Summary

Platforms
Terra
Instruments
MODIS
Spatial Extent

N: 90 S: -90 E: 180 W: -180

Spatial Resolution
500 Meters x 500 Meters
Spatial Reference System(s)
MODIS Sinusoidal Tiling System
Location
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
GEODETIC
Temporal Extent
2000-01-01 to Present
Temporal Resolution
8 Day
Data Partner
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
C2565791029-LPCLOUD
Data State
ACTIVE
Number of Files/Granules
347140
Processing Level
4
Published
Updated
Science Keywords
Photosynthesis ,
Primary Production

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.

Copy Citation

Running, S., & Zhao, M. (2021). MODIS/Terra Gross Primary Productivity Gap-Filled 8-Day L4 Global 500m SIN Grid V061 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MOD17A2HGF.061 Date Accessed: 2026-02-14

File Naming Convention

MOD17A2HGF.A2024361.h14v02.061.2025011052502.hdf

The file name begins with the Product Short Name (MOD17A2HGF) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2024361), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h14v02), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025011052502), and the Data Format (hdf).

Documents

USER'S GUIDE

ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)

PRODUCT QUALITY ASSESSMENT

SCIENCE DATA PRODUCT VALIDATION

GENERAL DOCUMENTATION

Publications Citing This Dataset

Filters
Title Year Author
Estimating mangrove forest gross primary production by quantifying environmental stressors in the coastal area Zheng, Y.
Vulnerability assessment and its driving forces in terms of NDVI and GPP over the Loess Plateau, China Zhang, X.
Remotely sensed carotenoid dynamics improve modelling photosynthetic phenology in conifer and deciduous forests Wong, C. Y. S.
Spatiotemporal variation in gross primary productivity and their responses to climate in the great lakes region of Sub-Saharan Africa during 2001–2020 Kayiranga, A.
Impacts of land use changes on net primary productivity in urban agglomerations under multi-scenarios simulation Chen, Y.
El Niño Southern Oscillation and enhanced arid land vegetation productivity in NW South America Vining, B. R.
Spatio-temporal patterns of oasis dynamics in China’s drylands between 1987 and 2017 Chen, P.
The global carbon sink potential of terrestrial vegetation can be increased substantially by optimal land management Sha, Z. Y.
Assessing land cover and ecological quality changes in the forest-steppe ecotone of the Greater Khingan Mountains, Northeast China, from Landsat and MODIS observations from 2000 to 2018 Shi, F.
Estimation of global cropland gross primary production from satellite observations by integrating water availability variable in light-use-efficiency model Du, D. D.
SHOWING 10 OF 114

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 Description Units Data Type Fill Value Valid Range Scale Factor
Gpp_500m Gross Primary Productivity kgC/m²/8day int16 32761 0 to 30000 0.0001
PsnNet_500m Net Photosynthesis kgC/m²/8day int16 32761 -30000 to 30000 0.0001
Psn_QC_500m Quality Control Indicators Bit Field uint8 255 0 to 254 N/A
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