MYD28C3 v061

MODIS/Aqua Water Reservoir Monthly L3 Global

PI: Huilin Gao


The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Water Reservoir Monthly Level 3 (L3) Global (MYD28C3) Version 6.1 product provides current data for 151 man-made reservoirs and 13 regulated natural lakes for a total of 164 reservoirs. The MYD28C3 Version 6.1 data product is a composite of the 8-day area classifications from MYD28C2, which is converted to provide monthly elevation and water storage. Lake Temperature and Evaporation Model (LTEM) via MODIS Land Surface Temperature (LST) (MYD21) and meteorological data from Global Land Data Assimilation System (GLDAS) are used to produce monthly evaporation rates and volume losses. The MYD28C3 data product contains a single layer with information about the reservoir identifier, dam location (longitude and latitude), monthly reservoir area, elevation, storage capacity, evaporation rate, and evaporation volume.

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Product Maturity

Validation at stage 1 has been achieved for the MODIS Water Reservoir product suite. Further details regarding MODIS land product validation for the MYD28 data products are available from the MODIS Land Team Validation site.

Collection and Granule


Characteristic Description
CollectionAqua MODIS
File Size~50 KB
Temporal ResolutionMonthly
Temporal Extent2002-07-01 to Present
Spatial ExtentGlobal
Coordinate SystemGeographic Latitude and Longitude
File FormatHDF
Geographic DimensionsGlobal


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


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

Quality information is provided in Section 5 of 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 and MODIS/VIIRS Land Quality Assessment website.

About the image

"Ladybower" by David Robson/ BY-NC-ND 2.0

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User Guide
Algorithm Theoretical Basis Document (ATBD)

Using the Data

Access Data


DOI: 10.5067/MODIS/MYD28C3.061