MEaSUREs Greenland Monthly Ice Sheet Velocity Mosaics from SAR and Landsat, Version 4 (NSIDC-0731)
Data set:
NSIDC-0731
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This is the most recent version of these data.
Version Summary
Changes for the version include:
- Temporal coverage extended
- Data recalibrated relative to previous versions to reduces biases imposed by quadratic fits to control points
- Correction added for the submergence/emergence velocity
- Addition of interferometric phase data where available

Overview

This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, contains monthly ice velocity mosaics for the Greenland Ice Sheet derived from Synthetic Aperture Radar (SAR) data obtained by the German Aerospace Center's (DLR) TerraSAR-X/TanDEM-X (TSX/TDX), the European Space Agency's (ESA) Copernicus Sentinel-1A and -1B satellites, and from US Geological Survey (USGS) Landsat 8 optical imagery. See Greenland Ice Mapping Project (GrIMP) 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, SAR
Data Format(s):
GeoTIFF, JPEG, Shapefile
Temporal Coverage:
1 December 2014 to 28 February 2022
Temporal Resolution:
1 month
Spatial Resolution:
200 m
200 m
Spatial Coverage:
N:
83
S:
58.5
E:
-8.32
W:
-90.9

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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:
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.