VNP28C2 v002

VIIRS/NPP Water Reservoir Area 8-day L3 Global

PI: Huilin Gao


The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Water Reservoir 8-day Level 3 (L3) Global (VNP28C2) Version 2 product provides current data for 151 man-made reservoirs and 13 regulated natural lakes for a total of 164 reservoirs.

The VNP28C2 data product provides an 8-day time series of surface area, elevation, and water storage. Datasets are combined with pre-established Area-Elevation (A-E) curves and image classifications of near-infrared (NIR) reflectance from the surface reflectance product acquired by the VIIRS satellite (VNP09H1).

The VNP28C2 data product consists of a single layer with information about the reservoir identifier, dam location (longitude and latitude), reservoir surface area, elevation, and water storage capacity.

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Product Maturity

Validation at stage 1 has been achieved for the VIIRS Water Reservoir product suite. Further details regarding VIIRS land product validation for the VNP28 data products are available from the VIIRS Land Validation Status site.

Collection and Granule


Characteristic Description
CollectionSuomi NPP VIIRS
File Size~24 KB
Temporal ResolutionMulti-Day
Temporal Extent2012-01-17 to Present
Spatial ExtentGlobal
Coordinate SystemGeographic Latitude and Longitude
File FormatHDF-EOS5
Geographic DimensionsGlobal


Characteristic Description
Number of Science Dataset (SDS) Layers1
Pixel SizeN/A

Layers / Variables

SDS Name Description Units Data Type Fill Value No Data Value Valid Range Scale Factor
Lakes 8-day aggregated global lake area, elevation, and storage N/A N/A -9999.0 N/A N/A N/A

A list of the 164 reservoir identifiers and related attributes is provided in Appendix A of the User Guide.

Product Quality

VNP28C2 product quality information can be found in the Algorithm Theoretical Basis Document (ATBD).

Known Issues

Water occurrence images generally show smaller surface area dynamics in high latitude regions, creating pixels with low occurrence values that have relatively large uncertainties. In addition, the quality of raw water area classification can be affected by lake ice coverage typically creating an overestimation of surface area in the enhancement algorithm. This issue will be addressed in a future release of the enhancement algorithm. For additional information about known issues, refer to the User Guide.

About the image

Pend Oreille Lake in northern Idaho on May 10, 2019, is one of the water reservoirs included in the VNP28C2 data product. Photo Credit: “Lake Pend Oreille panorama” by Stan Petersen / BY-NC 2.0

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User Guide

Algorithm Theoretical Basis Document (ATBD)

Using the Data

Access Data


DOI: 10.5067/VIIRS/VNP28C2.002