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MEaSUREs Greenland Quarterly Ice Sheet Velocity Mosaics from SAR and Landsat, Version 3 (NSIDC-0727)
Data set:
NSIDC-0727
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There is a more recent version of these data.
Version Summary
Version updates include:
Reprocessed with a corrected DEM
Cloud optimized GeoTIFFs created with GDAL 3.2.1

Overview

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.
Data Contributor(s):
  • Ian
    Joughin
Parameter(s):
ICE VELOCITY
Platform(s):
LANDSAT-8, Sentinel-1A, Sentinel-1B, TDX, TSX
Sensor(s):
C-SAR, OLI, X-SAR
Data Format(s):
GeoTIFF, JPEG, Shapefile
Temporal Coverage:
1 December 2014 to present
Temporal Resolution:
3 month
Spatial Resolution:
200 m
200 m
Spatial Coverage:
N:
83
S:
60
E:
-14
W:
-75

Data Access & Tools

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

Sample Data Image

Image
Quarterly ice velocity mosaic

This color-coded map shows a quarterly 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. White patches indicate no data. 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:
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:
All 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, using wget or curl. Basic command line instructions are provided in the article below.