Data Set ID:
NSIDC-0725

MEaSUREs Greenland Annual 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 annual ice velocity mosaics for the Greenland Ice Sheet derived from Synthetic Aperture Radar (SAR) data obtained by the German Space Agency's TerraSAR-X/TanDEM-X (TSX/TDX) and the European Space Agency's Copernicus Sentinel-1A and -1B satellites, and from the US Geological Survey's Landsat 8 optical imagery for years 2015 to 2019.

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

Parameter(s):
  • SNOW/ICE > ICE VELOCITY
Data Format(s):
  • GeoTIFF
  • ESRI Shapefile
  • JPEG
Spatial Coverage:
N: 83, 
S: 60, 
E: -14, 
W: -75
Platform(s):LANDSAT-8, SENTINEL-1A, SENTINEL-1B, TDX, TSX
Spatial Resolution:
  • 200 m x 200 m
Sensor(s):C-SAR, OLI, SAR, X-SAR
Temporal Coverage:
  • 1 December 2014 to 30 November 2019
Version(s):V2
Temporal Resolution1 yearMetadata XML:View Metadata Record
Data Contributor(s):Ian Joughin

Geographic Coverage

Other Access Options

Other Access Options

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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 Annual 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: https://doi.org/10.5067/TZZDYD94IMJB. [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.

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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
Filter and order from a data set web page
Many NSIDC data set web pages provide the ability to search and filter data with spatial and temporal contstraints using a map-based interface. This article outlines how to order NSIDC DAAC data using advanced searching and filtering.  Step 1: Go to a data set web page This article will use the... 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

FAQ

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