
MEaSUREs Greenland Ice Velocity: Selected Glacier Site Velocity Maps from InSAR, Version 4 (NSIDC-0481)
Data set:
NSIDC-0481
This is the most recent version of these data.
Version Summary
Version Summary
This version contains the following changes:
-Updated temporal coverage
-Use of GDAL 3.2.1 to create cloud optimized GeoTIFFs
-Data reprocessed utilizing a corrected DEM. See user note in section 2.2.5
-Updated temporal coverage
-Use of GDAL 3.2.1 to create cloud optimized GeoTIFFs
-Data reprocessed utilizing a corrected DEM. See user note in section 2.2.5
Overview
This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, provides velocity estimates determined from Interferometric Synthetic Aperture Radar (InSAR) data for major glacier outlet areas in Greenland, some of which have shown profound velocity changes over the MEaSUREs observation period. The InSAR Selected Glacier Site Velocity Maps are produced from image pairs measured by the German Aerospace Center's (DLR) twin satellites TerraSAR-X / TanDEM-X (TSX / TDX). The measurements in this data set are provided in addition to the ice sheet-wide data from the related data set, MEaSUREs Greenland Ice Sheet Velocity Map from InSAR Data.
See Greenland Ice Mapping Project (GIMP) for more related data.
Data Contributor(s):
- IanJoughin
- IanHowat
- TedScambos
- BenSmith
Parameter(s):
ICE VELOCITY
Platform(s):
TSX
Sensor(s):
X-SAR
Data Format(s):
GeoTIFF, JPEG
Temporal Coverage:
12 June 2008 to present
Temporal Resolution:
11 day
Spatial Resolution:
100 m
100 m
Spatial Coverage:
N:
82
S:
60
E:
-20
W:
-70
Data Access & Tools
A free NASA Earthdata Login account is required to access these data. Learn More
Sample Data Image
Image

This map superimposes color-coded ice velocity in meters per year onto the topography of a portion of the Greenland coastline. Highest velocities appear in red. Credit: NASA MEaSUREs GrIMP Data: DLR
Documentation
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).