MEaSUREs Greenland Ice Mapping Project (GIMP) Digital Elevation Model, Version 1 (NSIDC-0645)
Data set:
NSIDC-0645
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This is the most recent version of these data.
Version Summary
Initial release

Overview

This data set consists of an enhanced resolution digital elevation model (DEM) for the Greenland Ice Sheet. It was constructed by combining ASTER and SPOT 5 DEMs over the ice sheet periphery and margin with AVHRR photoclinometry for the interior and far north, and calibrating the data to approximate mean ICESat/GLAS elevations from 2003 to 2009. See Greenland Ice Mapping Project (GIMP) for related data.
Parameter(s):
GLACIER ELEVATION/ICE SHEET ELEVATION
Platform(s):
ICESAT, NOAA-14, SPOT-5, TERRA
Sensor(s):
ASTER, AVHRR-2, GLAS, HRS
Data Format(s):
GeoTIFF
Temporal Coverage:
20 February 2003 to 11 October 2009
Temporal Resolution:
1 year, 1 year
Spatial Resolution:
30 m
30 m
,
90m
90 m
Spatial Coverage:
N:
83
S:
60
E:
-14
W:
-75

Data Access & Tools

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Sample Data Image

Image
Greenland digital elevation map

Assembled from ASTER, SPOT, and AVHRR satellite sensors, this digital elevation model encompasses the entire Greenland Ice Sheet and its periphery. Credit: NASA MEaSUREs GrIMP Data: NASA, NOAA, ESA

Help Articles

How To

The answer is yes. 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:
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
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.
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.