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Visualising cryospheric images in a virtual environment: present challenges and future implications

Published online by Cambridge University Press:  01 October 2007

Lisa M. Ballagh ,
Mark A. Parsons  and
Ross Swick
Lisa M. Ballagh
Affiliation:
National Snow and Ice Data Center. 449 UCB, Boulder, Colorado 80309, USA
Mark A. Parsons
Affiliation:
National Snow and Ice Data Center. 449 UCB, Boulder, Colorado 80309, USA
Ross Swick
Affiliation:
National Snow and Ice Data Center. 449 UCB, Boulder, Colorado 80309, USA
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Abstract

The United States National Snow and Ice Data Center (NSIDC) initiated an outreach project to enhance the visibility of and interest in cryospheric images. Methods were utilised to convert cryospheric data into a projection and image format compatible with Google Earth™. The word ‘image’ should be emphasised since raster data in a native polar projection and format cannot be overlaid on the Earth without prior data conversions. The project focused on reaching out to a diverse audience by integrating images from key components of the cryosphere into a single compressed Keyhole Markup Language (KMZ) file. As a result, users can visualise glacier photographs, permafrost type and extent, sea ice concentration and extent, and snow extent superimposed on the Earth. Those interested in browsing the NSIDC collection of over 3,000 glacier photographs have the option of zooming into Alaska for a majority of the images and accessing both the photograph and the associated metadata. For a current perspective of global snow and ice coverage, one could look at satellite imagery derived from passive microwave Special Sensor Microwave/Imager (SSM/I) data. Another option is to select the permafrost layer and observe the various types and extent of permafrost. This paper explores the project by describing the data, methodologies and results and concludes with future implications on how to improve the processing and functionality of polar data in Google Earth.

Type
Articles
Information
Polar Record , Volume 43 , Issue 4 , October 2007 , pp. 305 - 310
Copyright
Copyright © Cambridge University Press 2007

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