Skip to main content

Description

The MYD13C2 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MYD13C2 Version 6.1 data product.

The MYD13C2 Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are 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 Climate Modeling Grid (CMG) consists of 3,600 rows and 7,200 columns of 5,600 meter (m) pixels. In generating this monthly product, the algorithm ingests all the MYD13A2 products that overlap the month and employs a weighted temporal average. Global MYD13C1 data are cloud-free spatial composites and are provided as a Level 3 product projected on a 0.05 degree (5,600 m) geographic CMG. The MYD13C2 has data fields for the NDVI, EVI, VI QA, reflectance data, angular information, and spatial statistics such as mean, standard deviation, and number of used input pixels at the 0.05 degree CMG resolution.

Known Issues

  • 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.

Improvements/Changes from Previous Versions

  • The 16-day composite VI is generated using the two 8-day composite surface reflectance granules (MYD09A1) in the 16-day period.
  • This surface reflectance input is based on the minimum blue compositing approach used to generate the 8-day surface reflectance product.
  • The product format is consistent with the Version 5 product generated using the Level 2 gridded daily surface reflectance product.
  • A frequently updated long-term global CMG Average Vegetation Index product database is used to fill the gaps in the CMG product suite.

Version Description

The MYD13C2 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MYD13C2 Version 6.1 data product (https://doi.org/10.5067/MODIS/MYD13C2.061).

Product Summary

Platforms
Aqua
Instruments
MODIS
Spatial Extent
N: 90 S: -90 E: 180 W: -180
Spatial Resolution
5600 Meters x 5600 Meters
Geographic Region
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2002-07-01 to 2023-01-31
Temporal Resolution
1 Month
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
C2763370232-LPCLOUD
Data State
DEPRECATED
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). MYD13C2 MODIS/Aqua Vegetation Indices Monthly L3 Global 0.05Deg CMG V006 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MYD13C2.006 Date Accessed: 2025-10-27

File Naming Convention

MYD13C2.A2002244.006.2015151121154.hdf

The file name begins with the Product Short Name (MYD13C2) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002244), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2015151121154), and the Data Format (hdf).

Documents

SHOWING 3 OF 3

Publications Citing This Dataset

Filters
Title Year Author
Filling temporal gaps within and between GRACE and GRACE-FO terrestrial water storage records—An innovative approach Gyawali, B.
Long-term spatiotemporal trends in aerosol optical depth and its relationship with enhanced vegetation index and meteorological parameters over South Asia Tariq, S.
Short-term agricultural drought prediction based on D-vine copula quantile regression in snow-free unfrozen surface area, China Wu, T.
Influence of energy and water cycle key parameters on drought in Mongolian Plateau during 1979-2020 He, J.
Satellite soil moisture data assimilation for improved operational continental water balance prediction Tian, S.
Improvements of adam3 by incorporating new dust emission reduction formulations based on real-time modis ndvi Cho, J. H.
Global dust optical depth climatology derived from CALIOP and MODIS aerosol retrievals on decadal timescales—Regional and interannual variability Song, Q.
The novel microwave temperature vegetation drought index (Mtvdi) captures canopy seasonality across amazonian tropical evergreen forests Liu, L.
Satellite retrieval of microwave land surface emissivity under clear and cloudy skies in china using observations from AMSR-E and MODIS Hu, J.
The applicability of using NARX neural network to forecast GRACE terrestrial water storage anomalies Wang, J. L.
SHOWING 10 OF 16

Variables

Variables are a set of physical properties whose values determine the characteristics or behavior of something. For example, temperature and pressure are variables of the atmosphere. Parameters and variables can be used interchangeably. Variable level attributes provide individual information for each variable.

The Name in this table is the variable name. Fill value indicates missing or undefined data points in a variable. Valid range is the range of values the variable can store. Scale factor is used to increase or decrease the size of an object and can be used to correct for distortion. For questions on a specific variable, please use the Earthdata Forum.

Name Description Units Data Type Fill Value Valid Range Scale Factor
C2763370232-LPCLOUD Number of 1 km input pixels used Number uint8 255 255 to 36 N/A
CMG 0.05 Deg Monthly EVI std dev Standard deviation computed from input EVI pixels EVI int16 -3000 -3000 to 10000 0.0001
CMG 0.05 Deg Monthly NDVI 16 day NDVI NDVI int16 -3000 -3000 to 10000 0.0001
CMG 0.05 Deg Monthly Avg sun zen angle Sun zenith angle of VI Pixel Degree int16 -10000 -10000 to 9000 0.01
CMG 0.05 Deg Monthly blue reflectance Surface Reflectance Band 3 N/A int16 -1000 -1000 to 10000 0.0001
CMG 0.05 Deg Monthly EVI 16 day EVI EVI int16 -3000 -3000 to 10000 0.0001
CMG 0.05 Deg Monthly MIR reflectance Surface Reflectance Band 7 N/A int16 -1000 -1000 to 10000 0.0001
CMG 0.05 Deg Monthly NDVI std dev Standard deviation computed from input NDVI pixels NDVI int16 -3000 -3000 to 10000 0.0001
CMG 0.05 Deg Monthly NIR reflectance Surface Reflectance Band 2 N/A int16 -1000 -1000 to 10000 0.0001
CMG 0.05 Deg Monthly number of 1km pix +-30deg VZ Number of 1km pixels used with VZ angle less than + or - 30 degs Number uint8 255 255 to 36 N/A
CMG 0.05 Deg Monthly pixel reliabilty Quality reliability of VI pixel Rank int8 -1 -1 to 4 N/A
CMG 0.05 Deg Monthly red reflectance Surface Reflectance Band 1 N/A int16 -1000 -1000 to 10000 0.0001
CMG 0.05 Deg Monthly VI Quality VI quality indicators Bit Field uint16 65535 65535 to 65534 N/A
You're viewing 13 of 13