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Data Set ID:
NSIDC-0723

MEaSUREs Greenland Image Mosaics from Sentinel-1A and -1B, Version 3

This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of 6-day and 12-day 50 m resolution image mosaics of the Greenland coastline and ice sheet periphery. The mosaics are derived from C-band Synthetic Aperture Radar (C-SAR) acquired by the Copernicus Sentinel-1A and -1B imaging satellites starting in January 2015.

See Greenland Ice Mapping Project (GIMP) for related data.

This is the most recent version of these data.

Version Summary:

Changes to this version include:
- Data were reprocessed with upgraded software and a revised DEM
- The spatial resolution of the uncalibrated product was improved from 50 to 25 meters
- Two new parameters: (1) a calibrated sigma0 radar backscatter product with a 50 m spatial resolution; and (2) a calibrated and radiometrically terrain-corrected gamma0 radar backscatter product, also at 50 m resolution
- The products have been simplified, with the mosaics merged into a single cloud-optimized GeoTIFF and thus replacing the multiple .tif, .vrt, and .ovr files included in Version 2.
- The temporal coverage was expanded

Overview

Parameter(s):
  • RADAR > RADAR BACKSCATTER
Data Format(s):
  • XML
  • GeoTIFF
  • JPEG
  • ESRI Shapefile
Spatial Coverage:
N: 84, 
S: 59, 
E: -15, 
W: -73
Platform(s):SENTINEL-1A, SENTINEL-1B
Spatial Resolution:
  • 50 m x 50 m
  • 25 m x 25 m
Sensor(s):C-SAR
Temporal Coverage:
  • 1 January 2015
Version(s):V3
Temporal Resolution6 days to 12 daysMetadata XML:View Metadata Record
Data Contributor(s):Ian Joughin

Citing These Data

As a condition of using these data, you must cite the use of this data set using the following citation. For more information, see our Use and Copyright Web page.

Joughin, I. 2020. MEaSUREs Greenland Image Mosaics from Sentinel-1A and -1B, Version 3. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: https://doi.org/10.5067/J9PKP1B9HX6F. [Date Accessed].

Literature Citation

As a condition of using these data, we request that you acknowledge the author(s) of this data set by referencing the following peer-reviewed publication.

  • Joughin, I., B. Smith, I. Howat, T. Moon, and T. Scambos. 2016. A SAR record of early 21st century change in Greenland, Journal of Glaciology. 62. 62-71. https://doi.org/10.1017/jog.2016.10

Documentation

A user guide is not available for this data set.

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How To

Programmatic Data Access Guide
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 or through our Application Programming Interface (API). Our API offers you the ability to order data using specific temporal and spatial filters... read more
Filter and order from a data set web page
Many NSIDC data set web pages provide the ability to search and filter data with spatial and temporal contstraints using a map-based interface. This article outlines how to order NSIDC DAAC data using advanced searching and filtering.  Step 1: Go to a data set web page This article will use the... read more
How do I reproject a geoTIFF from polar stereographic to geographic lat/lon?
We recommend using the Geospatial Data Abstraction Library (GDAL) or a GIS to reproject geoTIFF files. Here we outline command line or python options for using GDAL, and instructions for QGIS and ArcMap to... read more
How do I convert a GeoTIFF into a NetCDF file?
We recommend using the Geospatial Data Abstraction Library (GDAL) to convert GeoTIFF files into a different format. If you want to reproject to lat/lon as well, then we recommend reprojecting before converting to NetCDF (see the FAQ "How do I reproject a GeoTIFF to from polar steroegraphic to... read more

FAQ

Do you have sample code to read GeoTiffs?
Sample image ouput from Python code. Below 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... read more
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