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MEaSUREs Greenland Annual Ice Sheet Velocity Mosaics from SAR and Landsat, Version 3 (NSIDC-0725)
Data set:
This is the most recent version of these data.
Version Summary
Version updates include:
-Reprocessed with a variation of DEM NSIDC-0715 corrected to address a 15 m horizontal shift
-Cloud optimized GeoTIFFS created with GDAL 3.2.1
-Extended temporal coverage


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 2020. See Greenland Ice Mapping Project (GIMP) for related data.
Data Contributor(s):
  • Ian
LANDSAT-8, Sentinel-1A, Sentinel-1B, TDX, TSX
Data Format(s):
GeoTIFF, JPEG, Shapefile
Temporal Coverage:
1 December 2014 to 30 November 2020
Temporal Resolution:
1 year
Spatial Resolution:
200 m
200 m
Spatial Coverage:

Data Access & Tools

A free NASA Earthdata Login account is required to access these data. Learn More

Sample Data Image

Annual ice velocity mosaic

This color-coded map shows an annual ice velocity mosaic for the Greenland Ice Sheet. Highest velocities appear in magenta and red, intermediate velocities appear in blue and green, and lowest velocities appear in yellow and peach. Credit: NASA MEaSUREs GrIMP Data: DLR, ESA, USGS

Help Articles

How To

The answer is yes. Below the image in this article, 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 data from:
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. 
We recommend using the Geospatial Data Abstraction Library (GDAL) to convert GeoTIFF files into a different format.
We recommend using the Geospatial Data Abstraction Library (GDAL) or a GIS to reproject geoTIFF files.
There are external Jupyter notebooks available that can be used to search for GIMP products and incorporate them into a new QGIS project:
There are external Jupyter notebooks available that can be used to download user-defined spatial subsets of the following MEaSUREs GIMP products:
  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).