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Description

The MYD13Q1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MYD13Q1 Version 6.1 data product.

The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices (MYD13Q1) Version 6 data are generated every 16 days at 250 meter (m) spatial resolution as a Level 3 product. The MYD13Q1 product provides two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle, and the highest NDVI/EVI value.

Along with the vegetation layers and the two quality layers, the HDF file will have MODIS reflectance bands 1 (red), 2 (near-infrared), 3 (blue), and 7 (mid-infrared), as well as four observation layers.

Known Issues

  • The following issues have been detected:

    • Unexpected missing data in the last cycles of each year.
    • Incorrect instances of "NoData" and spikes in NDVI values.
    • VI Usefulness Bits are not correctly assigned.
  • For instances where the VI Quality (bits 0-1) is flagged as good and the VI Usefulness (bits 2-5) indicates the same pixels have the lowest usefulness score, users are advised to disregard the usefulness score.
  • The incorrect representation of the aerosol quantities (low, average, high) in the Collection 6 MYD09 surface reflectance products may have impacted MYD13 Vegetation Index data products particularly over arid bright surfaces.
  • Corrections were implemented in Collection 6.1 reprocessing.
  • For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.

Version Description

The following changes and improvements were implemented for inputs to MODIS Version 6 vegetation index data products: (1) The 16-day composite VI is generated using the two 8-day composite surface reflectance granules (MYD09A1) in the 16-day period, (2) This surface reflectance input is based on the minimum blue compositing approach used to generate the 8-day surface reflectance product, (3) The product format is consistent with the Version 5 product generated using the Level 2 gridded daily surface reflectance product, and (4) A frequently updated long-term global CMG Average Vegetation Index product database is used to fill the gaps in the CMG product suite.

Product Summary

Platforms
Aqua
Instruments
MODIS
Spatial Extent

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

Spatial Resolution
250 Meters x 250 Meters
Spatial Reference System(s)
MODIS Sinusoidal Tiling System
Location
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
GEODETIC
Temporal Extent
2002-07-04 to 2023-02-25
Temporal Resolution
16 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
C2763370237-LPCLOUD
Data State
DEPRECATED
Number of Files/Granules
0
Processing Level
3
Published
Updated
Science Keywords
Vegetation Index ,
Normalized Difference Vegetation Index (NDVI)

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

Didan, K. (2015). MYD13Q1 MODIS/Aqua Vegetation Indices 16-Day L3 Global 250m SIN Grid V006 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MYD13Q1.006 Date Accessed: 2026-02-13

File Naming Convention

MYD13Q1.A2002265.h35v08.006.2015151111944.hdf

The file name begins with the Product Short Name (MYD13Q1) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002265), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h35v08), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2015151111944), and the Data Format (hdf).

Documents

SHOWING 3 OF 3

Publications Citing This Dataset

Filters
Title Year Author
Anthropogenic landscape alteration promotes higher disease risk in wild New Zealand avian communities Filion, A.
Quantifying the GCM-related uncertainty for climate change impact assessment of rainfed rice production in Cambodia by a combined hydrologic - rice growth model Tsujimoto, K.
Ecoregion-wide, multi-sensor biomass mapping highlights a major underestimation of dry forests carbon stocks Pötzschner, F.
Spatiotemporal investigation of near-surface CO2 and its affecting factors over Asia Mustafa, F.
Mapping winter wheat with optical and SAR images based on Google Earth Engine in Henan Province, China Li, C. C.
Identifying the scale-controlling factors of soil organic carbon in the cropland of Jilin Province, China Zhang, Y.
Investigating the contrast diurnal relationship of land surface temperatures with various surface parameters represent vegetation, soil, water, and urbanization over Ahmedabad city in India Mathew, A.
Declines in canopy greenness and tree growth are caused by combined climate extremes during drought-induced dieback Castellaneta, M.
Estimation of the effects of aerosol optical properties on peatland production in Rzecin, Poland Harenda, K. M.
Exploring seasonal variation in the faecal glucocorticoid concentrations of African elephants (Loxodonta africana) living in a drought-prone, anthropogenic landscape Troup, G.
SHOWING 10 OF 112

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
250m 16 days blue reflectance Surface Reflectance Band 3 N/A int16 -1000 0 to 10000 0.0001
250m 16 days composite day of the year Day of year VI pixel Julian day int16 -1 1 to 366 N/A
250m 16 days EVI 16 day EVI EVI int16 -3000 -2000 to 10000 0.0001
250m 16 days MIR reflectance Surface Reflectance Band 7 N/A int16 -1000 0 to 10000 0.0001
250m 16 days NDVI 16 day NDVI NDVI int16 -3000 -2000 to 10000 0.0001
250m 16 days NIR reflectance Surface Reflectance Band 2 N/A int16 -1000 0 to 10000 0.0001
250m 16 days pixel reliability Quality reliability of VI pixel Rank int8 -1 0 to 3 N/A
250m 16 days red reflectance Surface Reflectance Band 1 N/A int16 -1000 0 to 10000 0.0001
250m 16 days relative azimuth angle Relative azimuth angle of VI pixel Degree int16 -4000 -18000 to 18000 0.01
250m 16 days sun zenith angle Sun zenith angle of VI pixel Degree int16 -10000 0 to 18000 0.01
250m 16 days view zenith angle View zenith angle of VI Pixel Degree int16 -10000 0 to 18000 0.01
250m 16 days VI Quality VI quality indicators Bit Field uint16 65535 0 to 65534 N/A
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