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Description

The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Vegetation Indices (VNP13A2) Version 2 data product provides vegetation indices by a process of selecting the best available pixel over a 16-day acquisition period at 1 kilometer (km) resolution. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission.

The VNP13 algorithm process produces three vegetation indices: The Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the Enhanced Vegetation Index-2 (EVI2). NDVI is one of the longest continual remotely sensed time series observations, using both the red and near-infrared (NIR) bands. EVI is a slightly different vegetation index that is more sensitive to canopy cover, while NDVI is more sensitive to chlorophyll. EVI2 is a reformation of the standard 3-band EVI, using the red band and NIR band. This reformation addresses arising issues when comparing VIIRS EVI to other EVI models that do not include a blue band. EVI2 will eventually become the standard EVI.

This product includes a total of 16 variables, including three Vegetation Indices layers, NIR reflectance; three shortwave infrared (SWIR) reflectance; red, blue, and green reflectance; composite day of year; pixel reliability; relative azimuth, view, and sun angles, and a quality layer. Two low resolution browse images are also available for each VNP13A2 product: EVI and NDVI.

Known Issues

  • Due to missing critical inputs, this product lacks coverage for tiles h33v07 and h18v14, which are located over water.
  • For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website and the User Guide and ATBD.

Version Description

The following modifications and enhancements were implemented for Suomi NPP Version 2 vegetation indices data products: (1) Improved calibration algorithm and coefficients for entire Suomi NPP mission, (2) Improved geolocation accuracy and applied updates to fix outliers around maneuver periods, (3) Corrected the aerosol quantity flag (low, average, high) mainly over brighter surfaces in the mid- to high-latitudes such as desert and tropical vegetation areas. This has an impact on the retrieval of other downstream data products such as VNP13 Vegetation Indices and VNP43 Bidirectional Reflectance Distribution Function (BRDF)/Albedo, (4) Improved cloud mask input product for corrections along coastlines and artifacts from use of coarse resolution climatology data, (5) Replaced the land/water mask input product with the eight-class land/water mask from the VNP03 geolocation product that better aligns with MODIS, (6) Modified QA VI Usefulness bits to ignore BRDF flag, and (7) Implemented VI specific land/water mask. Further details can be found in the VIIRS Land V2 Changes document (https://landweb.modaps.eosdis.nasa.gov/data/userguide/VIIRS_Land_C2_Cha…).

Product Summary

Platforms
Suomi-NPP
Instruments
VIIRS
Projects
NPP-JPSS
Spatial Extent

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

Spatial Resolution
1000 Meters x 1000 Meters
Spatial Reference System(s)
VIIRS Sinusoidal Tiling System
Location
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
GEODETIC
Temporal Extent
2012-01-17 to Present
Temporal Resolution
16 Day
Data Partner
Land Science Investigator-led Processing System, Terrestrial Information Systems Laboratory, Earth Sciences Division, Sciences and Exploration Directorate, Goddard Space Flight Center, NASA (NASA/GSFC/SED/ESD/TISL/LandSIPS) ,
Land Processes Distributed Active Archive Center (LP DAAC)
Concept ID
C2519127613-LPCLOUD
Data State
ACTIVE
Number of Files/Granules
189434
Processing Level
3
Published
Updated
Science Keywords
Normalized Difference Vegetation Index (NDVI) ,
Plant Phenology ,
Enhanced Vegetation Index (EVI)

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

Vermote, E. (2023). VIIRS/NPP Vegetation Indices 16-Day L3 Global 1km SIN Grid V002 [Dataset]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/VIIRS/VNP13A2.002 Date Accessed: 2026-08-10

File Naming Convention

VNP13A2.A2025209.h02v09.002.2025228055756.h5

The file name begins with the Product Short Name (VNP13A2) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2025209), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h02v09), the Version of the data collection (002), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025228055756), and the Data Format (h5).

Documents

Publications Citing This Dataset

Filters
Title Year Author Topic
Monthly 1-km yield mapping without census statistics: An approach combining satellite, crop model, field data and machine learning tested in three countries with diverse rice cropping patterns IIZUMI, Toshichika, MASAKI, Yoshimitsu, SAKAI, Toru, OYOSHI, Kei, TSUJIMOTO, Yasuhiro, OZAKI, Ryosuke, KARUNARATNE, Asha S., LABORTE, Alice G., SAITO, Kazuki Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Plant Phenology
Global SSEBop actual evapotranspiration modeling and mapping using the VIIRS data Senay, Gabriel B., Kagone, Stefanie, Khand, Kul, Parrish, Gabriel E.L., Young, Claudia J., Budde, Michael Vegetation Index, Normalized Difference Vegetation Index (NDVI), Plant Phenology, Enhanced Vegetation Index (EVI), Emissivity, Land Surface Temperature, Surface Radiative Properties
A novel land surface temperature reconstruction method and its application for downscaling surface soil moisture with machine learning Gungor Sahin, Onur, Gunduz, Orhan Vegetation Index, Normalized Difference Vegetation Index (NDVI), Plant Phenology, Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Reflectance, Brightness Temperature, SIGMA NAUGHT, Soil Moisture/Water Content, Root Zone Soil Moisture, Surface Soil Moisture
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