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

Viewed

Total article views: 7,424 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,507 2,679 238 7,424 726 173 240
  • HTML: 4,507
  • PDF: 2,679
  • XML: 238
  • Total: 7,424
  • Supplement: 726
  • BibTeX: 173
  • EndNote: 240
Views and downloads (calculated since 07 Mar 2016)
Cumulative views and downloads (calculated since 07 Mar 2016)

Cited

Saved (preprint)

Discussed (final revised paper)

Latest update: 28 Mar 2024
Download
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.