Data Set ID:

MEaSUREs Greenland Quarterly Ice Sheet Velocity Mosaics from SAR and Landsat, Version 2

This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, contains quarterly (three-month interval) ice velocity mosaics for the Greenland Ice Sheet. This product is derived from Synthetic Aperture Radar (SAR) data obtained by the German Aerospace Center's (DLR) TerraSAR-X/TanDEM-X (TSX/TDX), by the European Space Agency's (ESA) Copernicus Sentinel-1A and -1B satellites, and from the US Geological Survey's (USGS) Landsat 8 optical imagery.

See Greenland Ice Mapping Project (GIMP) for related data.

This is the most recent version of these data.

Version Summary:

The following represent key updates as of Version 2. For a detailed list of the differences between versions 1 and 2, refer to the User Guide.

Data set temporal resolution now runs through 30 November 2019.
Application of a new DEM: NSIDC-0715
Addition of dT GeoTIFFs, a temporal offset parameter.
Removal of bad data and addition of overlooked data. As a result, mosaics show more areas with no data, the min/max ex and ey values are lower and feature counts differ.
Cloud-optimized GeoTIFFs along with auxiliary files now available

COMPREHENSIVE Level of Service

Data: Data integrity and usability verified; data customization services available for select data

Documentation: Key metadata and comprehensive user guide available

User Support: Assistance with data access and usage; guidance on use of data in tools and data customization services

See All Level of Service Details

Data Format(s):
  • GeoTIFF
  • ESRI Shapefile
  • JPEG
Spatial Coverage:
N: 83, 
S: 60, 
E: -14, 
W: -75
Spatial Resolution:
  • 200 m x 200 m
Sensor(s):C-SAR, OLI, X-SAR
Temporal Coverage:
  • 1 December 2014 to 30 November 2019
Temporal Resolution3 monthMetadata XML:View Metadata Record
Data Contributor(s):Ian Joughin

Geographic Coverage

Other Access Options

Other Access Options


As a condition of using these data, you must cite the use of this data set using the following citation. For more information, see our Use and Copyright Web page.

Joughin, I. 2020. MEaSUREs Greenland Quarterly Ice Sheet Velocity Mosaics from SAR and Landsat, Version 2. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: [Date Accessed].

Literature Citation

As a condition of using these data, we request that you acknowledge the author(s) of this data set by referencing the following peer-reviewed publication.

  • Joughin, I., B. Smith, I. Howat, T. Scambos, and T. Moon. 2010. Greenland flow variability from ice-sheet-wide velocity mapping, Journal of Glaciology. 56. 415-430.

  • Joughin, I., B. Smith, and I. Howat. 2018. Greenland Ice Mapping Project: ice flow velocity variation at sub-monthly to decadal timescales, The Cryosphere. 12. 2211-2227.

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No technical references available for this data set.

How To

Programmatic Data Access Guide
Data from the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) can be accessed directly from our HTTPS file system or through our Application Programming Interface (API). Our API offers you the ability to order data using specific temporal and spatial filters... read more
How do I reproject a geoTIFF from polar stereographic to geographic lat/lon?
We recommend using the Geospatial Data Abstraction Library (GDAL) or a GIS to reproject geoTIFF files. Here we outline command line or python options for using GDAL, and instructions for QGIS and ArcMap to... read more
How do I convert a GeoTIFF into a NetCDF file?
We recommend using the Geospatial Data Abstraction Library (GDAL) to convert GeoTIFF files into a different format. If you want to reproject to lat/lon as well, then we recommend reprojecting before converting to NetCDF (see the FAQ "How do I reproject a GeoTIFF to from polar steroegraphic to... read more


Do you have sample code to read GeoTiffs?
Sample image ouput from Python code. Below you will find  sample code in IDL, MATLAB, and Python to read in a GeoTIFF file, extract the metadata, and create an image. The code has been tested with... read more