Articles | Volume 10, issue 4
https://doi.org/10.5194/tc-10-1665-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-10-1665-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Aug 2016
Research article |
| 01 Aug 2016
An automated methodology for differentiating rock from snow, clouds and sea in Antarctica from Landsat 8 imagery: a new rock outcrop map and area estimation for the entire Antarctic continent
British Antarctic Survey, Cambridge, CB3 OET, UK
Martin Black
British Antarctic Survey, Cambridge, CB3 OET, UK
Department of Geography, Environment and Earth Sciences, University
of Hull, Hull, HU6 7RX, UK
Peter T. Fretwell
British Antarctic Survey, Cambridge, CB3 OET, UK
Joseph Kaluza-Gilbert
School of Geography, Earth and Environmental Sciences, University of
Birmingham, Birmingham, B15 2TT, UK
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Saved (final revised paper)
Latest update: 22 Oct 2026
Short summary
We present a new rock outcrop map for the entire Antarctic continent, a principal base dataset for research and mapping in Antarctica with broad applications. To derive the map, a new methodology was developed and applied to allow automated identification of rock outcrops from Landsat 8 satellite images whilst excluding sunlit and shaded snow, clouds and liquid water – the first such automated methodology. The new dataset reveals that exposed rock forms only 0.18 % of the entire continent.
We present a new rock outcrop map for the entire Antarctic continent, a principal base dataset...
