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Data Set ID:
NSIDC-0724

MEaSUREs Greenland Monthly Image Mosaics from MODIS, Version 1

This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of monthly image mosaics of the Greenland coastline and ice sheet periphery constructed from composited MODIS imagery.

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

This is the most recent version of these data.

Version Summary:

Initial release

STANDARD Level of Service

Data: Data integrity and usability verified

Documentation: Key metadata and user guide available

User Support: Assistance with data access and usage; guidance on use of data in tools

See All Level of Service Details

Parameter(s):
  • CRYOSPHERIC INDICATORS > ICE EDGES
  • GLACIERS/ICE SHEETS > ICE SHEETS > SURFACE MORPHOLOGY
Data Format(s):
  • GeoTIFF
Spatial Coverage:
N: 85, 
S: 57, 
E: 11, 
W: -109
Platform(s):Aqua, Terra
Spatial Resolution:
  • 100 m x 100 m
  • 500 m x 500 m
Sensor(s):MODIS
Temporal Coverage:
  • 1 March 2008 to 30 September 2016
(updated 2018)		Version(s):V1
Temporal Resolution1 monthMetadata XML:View Metadata Record
Data Contributor(s):Terry Haran, Jennifer Bohlander, Ted Scambos, Ian Joughin

Geographic Coverage
Other Access Options

Other Access Options

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Download Via HTTPS: An Earthdata Login account is required to access these data.

Once you have logged in, you will be able to click and download files via a Web browser. There are also options for downloading via a command line or client. For more detailed instructions, please see Options Available for Bulk Downloading Data from HTTPS with Earthdata Login.

Earthdata Search: This application allows you to search, visualize, and access data across thousands of Earth science data sets. Additional customization services are available for select data sets, including subsetting, reformatting, and reprojection.

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.

Haran, T., J. Bohlander, T. Scambos, and I. Joughin. 2017, updated 2018. MEaSUREs Greenland Monthly Image Mosaics from MODIS, Version 1. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: https://doi.org/10.5067/6L166FFRPCPP. [Date Accessed].

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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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Questions? Please contact:
NSIDC User Services
Phone: 1 303 492-6199
Email: nsidc@nsidc.org