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Description

The MYD17A2HGF Version 6.1 Gross Primary Productivity (GPP) Gap-Filled 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 Aqua 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 MYD17A2HGF will be generated at the end of each year when the entire yearly 8-day MYD15A2H is available. Hence, the gap-filled MYD17A2HGF is the improved MYD17, which has cleaned the poor-quality inputs from 8-day Leaf Area Index and Fraction of Photosynthetically Active Radiation (LAI/FPAR) 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 MYD17A2HGF 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
Aqua
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
2002-01-01 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
C2565794824-LPCLOUD
Data State
ACTIVE
Number of Files/Granules
320160
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.

Copy Citation

Running, S., & Zhao, M. (2021). MODIS/Aqua 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/MYD17A2HGF.061 Date Accessed: 2026-04-27

File Naming Convention

MYD17A2HGF.A2024361.h13v01.061.2025011071130.hdf

The file name begins with the Product Short Name (MYD17A2HGF) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2024361), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h13v01), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025011071130), and the Data Format (hdf).

Documents

USER'S GUIDE

ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)

PRODUCT QUALITY ASSESSMENT

SCIENCE DATA PRODUCT VALIDATION

GENERAL DOCUMENTATION

Filters
Title Year Author Topic
Impact of flash droughts on cereal crops under Mediterranean conditions Benito-Verdugo, Pilar, Gonzalez-Zamora, Angel, Martinez-Fernandez, Jose Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY
Emulation of high-resolution land surface models using sparse Gaussian processes with application to JULES Baker, Evan, Harper, Anna B., Williamson, Daniel, Challenor, Peter Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY
Deficit in carbon uptake of vegetation on the British Iles during the 2018 European summer drought Queier, Manuel Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY
Evaluation of forest carbon uptake in South Korea using the national flux tower network, remote sensing, and data-driven technology Cho, Sungsik, Kang, Minseok, Ichii, Kazuhito, Kim, Joon, Lim, Jong-Hwan, Chun, Jung-Hwa, Park, Chan-Woo, Kim, Hyun Seok, Choi, Sung-Won, Lee, Seung-Hoon, Indrawati, Yohana Maria, Kim, Jongho Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Reflectance, Anisotropy, Land Use/Land Cover Classification
Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future Jiao, Wenzhe, Wang, Lixin, McCabe, Matthew F. Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Evapotranspiration, Latent Heat Flux, Sea Surface Temperature, Leaf Characteristics, Photosynthetically Active Radiation
Sub-Daily Natural CO2 Flux Simulation Based on Satellite Data: Diurnal Wang, Qiao, Imasu, Ryoichi, Arai, Yutaka, Ito, Satoshi, Mizoguchi, Yasuko, Kondo, Hiroaki, Xiao, Jingfeng Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Vegetation Cover, Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI), Albedo, Anisotropy
Variation patterns and driving factors of regional atmospheric CO2 anomalies in China Fu, Ying, Sun, Wenbin, Luo, Fuli, Zhang, Yuan, Zhang, Xinru Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY
An artificial intelligence approach to predict gross primary productivity in the forests of South Korea using satellite remote sensing data Lee, Bora, Kim, Nari, Kim, Eun-Sook, Jang, Keunchang, Kang, Minseok, Lim, Jong-Hwan, Cho, Jaeil, Lee, Yangwon Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY
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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 Offset
Gpp_500m Gross Primary Productivity kgC/m²/8day int16 32761 0 to 30000 0.0001 N/A
PsnNet_500m Net Photosynthesis kgC/m²/8day int16 32761 -30000 to 30000 0.0001 N/A
Psn_QC_500m Quality Control Indicators Bit Field uint8 255 0 to 254 N/A N/A
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