MEaSUREs Grounding Zone of the Antarctic Ice Sheet, Version 1
Data set id:
DOI: 10.5067/HGLT8XB480E4
This is the most recent version of these data.
Version Summary
Initial release


This data set provides a comprehensive map for the Antarctic Ice Sheet of the short-term zone of migration of the grounding line (i.e., the transition boundary between grounded ice and ice floating in the ocean waters) over a given period due to changes in oceanic tide. This short-term variation in the grounding line is referred to in this data set as the “grounding zone.” The grounding zone is presented as polylines in an ESRI shapefile indicating the upstream and downstream bound of the variation in the grounding line for a given year. The data is based on an automatic delineation of thousands of grounding lines using Sentinel-1 A/B interferometric synthetic aperture radar (InSAR) data with a machine learning algorithm and supplemented by grounding lines from COSMO SkyMed InSAR data.
COSMO-SKYMED, Sentinel-1A, Sentinel-1B
Data Format(s):
Not Specified
Temporal Coverage:
1 January 2018 to 31 December 2020
Temporal Resolution:
1 year
Spatial Resolution:
100 m
100 m
Spatial Reference System(s):
WGS 84 / Antarctic Polar Stereographic
Spatial Coverage:
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

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
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. 
NASA Earthdata Search is a map-based interface where a user can search for Earth science data, filter results based on spatial and temporal constraints, and order data with customizations including re-formatting, re-projecting, and spatial and parameter subsetting.