Special Issue "High Performance Computing in Remote Sensing"

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

Deadline for manuscript submissions: closed (30 April 2013)

Special Issue Editor

Guest Editor
Dr. Prasad S. Thenkabail
Research Geographer 15, United States Geological Survey (USGS), 2255, N. Gemini Dr., Flagstaff, AZ 86001, USA
E-Mail: pthenkabail@usgs.gov
Phone: +1 928 556 7221
Fax: +1 928 556 7169
Interests: remote sensing applications to: (a) agriculture, (b) water resources, (c) wetlands, (d) droughts, (e) land use\\land cover, (f) forestry, (g) natural resources management, and (h) environments; global mapping of croplands (irrigated and rainfed); hyperspectral remote sensing of vegetation; characterization of large river basins and deltas; wetland characterization and mapping; terrestrial Carbon storage and flux

Special Issue Information

Submission

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).

Keywords

• high-performance computing
• remote sensing
• parallel, distributed and grid computing
• GPU computing

Published Papers (4 papers)

by  and
Remote Sens. 2013, 5(9), 4488-4502; doi:10.3390/rs5094488
Received: 5 July 2013; in revised form: 21 August 2013 / Accepted: 3 September 2013 / Published: 12 September 2013
Show/Hide Abstract | Cited by 2 | PDF Full-text (1619 KB) | HTML Full-text | XML Full-text

by ,  and
Remote Sens. 2013, 5(7), 3357-3376; doi:10.3390/rs5073357
Received: 24 May 2013; in revised form: 9 July 2013 / Accepted: 9 July 2013 / Published: 12 July 2013
Show/Hide Abstract | Cited by 1 | PDF Full-text (4706 KB) | HTML Full-text | XML Full-text

by , ,  and
Remote Sens. 2013, 5(7), 3259-3279; doi:10.3390/rs5073259
Received: 28 April 2013; in revised form: 21 June 2013 / Accepted: 23 June 2013 / Published: 5 July 2013
Show/Hide Abstract | Cited by 2 | PDF Full-text (2637 KB) | HTML Full-text | XML Full-text

by , , , , , , , , , , , ,  and
Remote Sens. 2013, 5(5), 2436-2450; doi:10.3390/rs5052436
Received: 24 March 2013; in revised form: 23 April 2013 / Accepted: 7 May 2013 / Published: 15 May 2013
Show/Hide Abstract | Cited by 3 | PDF Full-text (1176 KB) | HTML Full-text | XML Full-text

Last update: 26 April 2013

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