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
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).
* 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 30 November 2024
Temporal Resolution:
- 1 month
Spatial Resolution:
- 200 m
- 200 m
Spatial Reference System(s):
- WGS 84 / NSIDC Sea Ice Polar Stereographic NorthEPSG:3413
- WGS 84EPSG:4326
Spatial Coverage:
- N:83S:58.5E:-8.32W:-90.9
Blue outlined yellow areas on the map below indicate the spatial coverage for this data set.
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Documentation
Help Articles
General Questions & FAQs
This article covers frequently asked questions about the NASA NSIDC DAAC's Earthdata cloud migration project and what it means to data users.
How to Articles
This article shows how to download NSIDC DAAC data from NASA Earthdata Cloud to your computer using three tools: wget and curl—popular command-line utilities for downloading files—and Data Downloader, a Python-based command-line tool developed by the Physical Oceanography Distributed Active Archi
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:
The NASA Earthdata Cloud is the NASA cloud-based archive of Earth observations. It is hosted by Amazon Web Services (AWS). Learn how to find and access NSIDC DAAC data directly in the cloud.