Articles | Volume 10, issue 4
https://doi.org/10.5194/tc-10-1665-2016
https://doi.org/10.5194/tc-10-1665-2016
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

Alex Burton-Johnson, Martin Black, Peter T. Fretwell, and Joseph Kaluza-Gilbert

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Cited articles

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Bishop, M. P., Olsenholler, J. A., Shroder, J. F., Barry, R. G., Raup, B. H., Bush, A. B., Copland, L., Dwyer, J. L., Fountain, A. G., Haeberli, W., et al.: Global Land Ice Measurements from Space (GLIMS): remote sensing and GIS investigations of the Earth's cryosphere, Geocarto Int., 19, 57–84, 2004.
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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.