MEaSUREs Greenland Monthly Ice Sheet Velocity Mosaics from SAR and Landsat, Version 4
Data set id:
NSIDC-0731
DOI: 10.5067/LRCN2Z8KYYX6
There is a more recent version of these data.
Version Summary
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
- 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.
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 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
Documentation
Help Articles
How to Articles
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.
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) 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.