VJ128C3 v002

VIIRS/JPSS1 Water Reservoir Monthly L3 Global

PI: Huilin Gao


The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Water Reservoir Monthly Level 3 (L3) Global (VJ128C3) Version 2 product provides current data for 151 man-made reservoirs and 13 regulated natural lakes for a total of 164 reservoirs.

The VJ128C3 data product is a composite of the 8-day area classifications from VJ128C2 which is converted to provide monthly elevation and water storage. The Lake Temperature and Evaporation Model (LTEM) with input from VIIRS Land Surface Temperature and Emissivity (VJ121A2) and meteorological data from Global Land Data Assimilation System (GLDAS) are used to produce monthly evaporation rates and volume losses.

The VJ128C3 data product provides a monthly time series that consists of a single layer with information about the reservoir identifier, dam location (longitude and latitude), reservoir surface area, elevation, water storage capacity, evaporation rate, and evaporation volume.

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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 VJ128 data products are available from the VIIRS Land Validation Status site.

Collection and Granule


Characteristic Description
CollectionNOAA-20 VIIRS
File Size~50 KB
Temporal ResolutionMonthly
Temporal Extent2018-01-01 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
Lake Evaporation Monthly aggregated global lake area, elevation, storage, evaporation rate, and evaporation volume. N/A N/A -9999.0 N/A N/A N/A

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

Product Quality

VJ128C3 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 Section 4 in the User Guide.

About the image

Lake Hawea in Otago Region, New Zealand on June 1, 2016, is one of the water reservoirs included in the VJ128C3 data product. Photo Credit: “Lake Hawea, Otago” by Shellie /flickr.com/CC BY-NC-ND 2.0

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User Guide

Algorithm Theoretical Basis Document (ATBD)

Using the Data

Access Data


DOI: 10.5067/VIIRS/VJ128C3.002