• On Wednesday, March 20, from 9:30 a.m. to 12:00 p.m. (US Mountain Time), the following data collections may not be available due to planned system maintenance: ASO, AMSR Unified, AMSR-E, Aquarius, High Mountain Asia, IceBridge, ICESat/GLAS, ICESat-2, LVIS, MEaSUREs, MODIS, Nimbus, SMAP, SnowEx, SSM/I-SSMIS and VIIRS.

MEaSUREs Greenland Monthly Ice Sheet Velocity Mosaics from SAR and Landsat, Version 5
Data set id:
NSIDC-0731
DOI: 10.5067/EGKZX6FXXM4P
This is the most recent version of these data.
Version Summary
* Improved correction for submergence/emergence velocity using an average of RACMO2.3 and MAR3.12 SMB for the period from 1958 to 2021
* Calibration improved by using an improved balance velocity estimate, computed as the average of RACMO2.3 and MAR3.12, and by excluding GPS points >2000 m from the 1990s.
* Solid Earth tides corrected using PySolid (https://github.com/insarlab/PySolid)
* Includes Landsat 9 data from 2022 onward
* Landsat-specific data files now designated by “LS” in the file name (instead of “LS8” as in previous versions).

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. The data are derived from Synthetic Aperture Radar (SAR) data, obtained by TerraSAR-X/TanDEM-X and Sentinel-1A and -1B, and from optical imagery acquired by Landsat 8 and Landsat 9. See Greenland Ice sheet Mapping Project (GrIMP) for related data.
Parameter(s):
ICE VELOCITY
Platform(s):
LANDSAT-8, LANDSAT-9, Sentinel-1A, Sentinel-1B, TDX, TSX
Sensor(s):
C-SAR, OLI, OLI-2, X-SAR
Data Format(s):
GeoTIFF, JPEG, Shapefile
Temporal Coverage:
1 December 2014 to 31 August 2023
Temporal Resolution:
  • 1 month
Spatial Resolution:
  • 200 m
  • 200 m
Spatial Reference System(s):
WGS 84 / NSIDC Sea Ice Polar Stereographic North
EPSG:3413

WGS 84
EPSG:4326
Spatial Coverage:
N:
83
S:
58.5
E:
-8.32
W:
-90.9
Blue outlined yellow areas on the map below indicate the spatial coverage for this data set.

Data Access & Tools

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

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:
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.