MEaSUREs Multi-year Greenland Ice Sheet Velocity Mosaic, Version 1
Data set id:
NSIDC-0670
DOI: 10.5067/QUA5Q9SVMSJG
This is the most recent version of these data.
Version Summary
Version Summary
Initial release
Overview
This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, contains a multi-year ice-sheet-wide velocity mosaic for Greenland, derived from Interferometric Synthetic Aperture Radar (InSAR), Synthetic Aperture Radar (SAR), and Landsat 8 optical imagery data.
See Greenland Ice Mapping Project (GIMP) for related data.
Parameter(s):
ICE VELOCITY
Platform(s):
ALOS, ERS-1, ERS-2, LANDSAT-8, RADARSAT-1, RADARSAT-2, TSX
Sensor(s):
OLI, PALSAR, SAR
Data Format(s):
GeoTIFF, JPEG
Temporal Coverage:
1 December 1995 to 31 October 2015
Temporal Resolution:
- Not applicable
Spatial Resolution:
- 250 m
- 250 m
Spatial Reference System(s):
WGS 84 / NSIDC Sea Ice Polar Stereographic North
EPSG:3413
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.
Strengths and Limitations
Strengths
- Most accurate GrIMP velocity product for periods before Sentinel-1 data were available, but is assembled from data spanning two decades.
- Well-suited for initializing models with conditions representative of late twentieth and early twenty-first century conditions.
- Provides good velocity estimates for the interior ice sheet, where high accuracy is needed and there is little temporal change (Joughin et al., 2018).
Limitations
- Poor temporal resolution
Data Access & Tools
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Sample Data Image
Image
Documentation
Help Articles
How to Articles
Many NSIDC DAAC data sets can be accessed using the NSIDC DAAC's Data Access Tool. This tool provides the ability to search and filter data with spatial and temporal constraints using a map-based interface.Users have the option to
Harmony API Quickstart Guide: Customizing NASA NSIDC DAAC data in Earthdata Cloud
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.
All data from the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) is directly accessible through our HTTPS file system using Wget or curl. This article provides basic command line instructions for accessing data using this method.