Special Issue "Cryospheric Remote Sensing"


A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: closed (31 October 2013)

Special Issue Editor

Guest Editor
Dr. Gareth Rees
Scott Polar Research Institute, Department of Geography, University of Cambridge, Cambridge, CB2 1ER, UK
Website: http://www.spri.cam.ac.uk/people/rees/
E-Mail: gareth.rees@spri.cam.ac.uk
Phone: 01223 336575
Fax: 01223 336549
Interests: remote sensing of glaciers; dynamics of snow cover; impact of industrial pollution on high-latitude vegetation; impact of reindeer grazing on tundra vegetation; PPS arctic/tundra-taiga initiative

Special Issue Information

Dear Colleagues,

The cryosphere—the Earth's icy regions—embraces sea ice, lake and river ice, ice sheets, ice caps and glaciers, icebergs, snow cover, permafrost and frozen ground generally. The above-surface part of the cryosphere occupies around one sixth of the Earth's surface, and is located in places that are generally very remote from human habitation and infrastructure, and in challenging climatic conditions. Its study is thus well suited to the use of remote sensing techniques, especially those operated from spaceborne platforms, and snow and ice research was early to adopt remote sensing methods and to develop new algorithms for extracting information from them. Quantitative data on the cryosphere are urgently needed to enhance our understanding of the behaviour of the global climate system, as well as for more locally centred applications, and some of the best known and most telling indications of climatic behaviour have been obtained from cryospheric measurements. In this special issue of Remote Sensing, we hope to be able to present a broad view of the state of the art in cryospheric remote sensing. Contributions are invited that present new measurements of any of the components of the cryosphere using data collected from spaceborne or airborne (including UAV) platforms with passive or active remote sensing systems, or new ways of collecting or analysing remotely sensed data. Review papers are also welcome.

Dr. Gareth Rees
Guets Editor


Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed Open Access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs).


  • cryosphere
  • snow
  • sea ice
  • river ice
  • lake ice
  • glacier
  • ice sheet
  • ice cap
  • iceberg
  • permafrost
  • frozen ground

Published Papers (5 papers)

Remote Sens. 2014, 6(3), 2008-2023; doi:10.3390/rs6032008
Received: 29 November 2013; in revised form: 21 February 2014 / Accepted: 24 February 2014 / Published: 5 March 2014
Show/Hide Abstract | Download PDF Full-text (1882 KB)
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Remote Sens. 2014, 6(2), 1451-1475; doi:10.3390/rs6021451
Received: 17 December 2013; in revised form: 31 January 2014 / Accepted: 10 February 2014 / Published: 18 February 2014
Show/Hide Abstract | Download PDF Full-text (5226 KB) | Download XML Full-text
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Remote Sens. 2014, 6(2), 946-963; doi:10.3390/rs6020946
Received: 6 November 2013; in revised form: 24 December 2013 / Accepted: 14 January 2014 / Published: 24 January 2014
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Remote Sens. 2014, 6(1), 603-620; doi:10.3390/rs6010603
Received: 23 October 2013; in revised form: 24 December 2013 / Accepted: 2 January 2014 / Published: 6 January 2014
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Remote Sens. 2013, 5(12), 6305-6322; doi:10.3390/rs5126305
Received: 25 September 2013; in revised form: 6 November 2013 / Accepted: 7 November 2013 / Published: 25 November 2013
Show/Hide Abstract | Download PDF Full-text (7121 KB) | View HTML Full-text | Download XML Full-text

Last update: 23 April 2013

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