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MEaSUREs Greenland Quarterly Ice Sheet Velocity Mosaics from SAR and Landsat, Version 2
Data set id:
NSIDC-0727
DOI: 10.5067/3ZMCUIFDYJG4
There is a more recent version of these data.
Version Summary
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
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
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) and 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.
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 30 November 2019
Temporal Resolution:
- 3 month
Spatial Resolution:
- 200 m
- 200 m
Spatial Coverage:
N:
83
S:
60
E:
-14
W:
-75
Blue outlined yellow areas on the map below indicate the spatial coverage for this data set.
Data Access & Tools
Documentation
Help Articles
How to Articles
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 the following data products:
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 GrIMP 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 GrIMP 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.