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.
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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2 citations as recorded by crossref.
- High Resolution Spatial Mapping of Human Footprint across Antarctica and Its Implications for the Strategic Conservation of Avifauna L. Pertierra et al. 10.1371/journal.pone.0168280
- Australian-Antarctic breakup and seafloor spreading: Balancing geological and geophysical constraints S. Williams et al. 10.1016/j.earscirev.2018.10.011
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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.
We present a new rock outcrop map for the entire Antarctic continent, a principal base dataset...