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 /flickr.com/CC BY-NC 2.0View full-size image
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.
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.
|Suomi NPP VIIRS
|2012-01-17 to Present
|Geographic Latitude and Longitude
|Number of Science Dataset (SDS) Layers
|No Data Value
|8-day aggregated global lake area, elevation, and storage
A list of the 164 reservoir identifiers and related attributes is provided in Appendix A of the User Guide.
VNP28C2 product quality information can be found in the Algorithm Theoretical Basis Document (ATBD).
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.