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

As the accuracy and sensitivity of remote-sensing satellites improve, there is an increasing demand for more accurate and updated base datasets for surveying and monitoring. However, differentiating rock outcrop from snow and ice is a particular problem in Antarctica, where extensive cloud cover and...

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Published in:The Cryosphere
Main Authors: Burton-Johnson, Alex, Black, Martin, Fretwell, Peter T., Kaluza-Gilbert, Joseph
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2016
Subjects:
Online Access:https://doi.org/10.5194/tc-10-1665-2016
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00011749 2023-05-15T13:34:49+02:00 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 Burton-Johnson, Alex Black, Martin Fretwell, Peter T. Kaluza-Gilbert, Joseph 2016-08 electronic https://doi.org/10.5194/tc-10-1665-2016 https://noa.gwlb.de/receive/cop_mods_00011749 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00011706/tc-10-1665-2016.pdf https://tc.copernicus.org/articles/10/1665/2016/tc-10-1665-2016.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-10-1665-2016 https://noa.gwlb.de/receive/cop_mods_00011749 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00011706/tc-10-1665-2016.pdf https://tc.copernicus.org/articles/10/1665/2016/tc-10-1665-2016.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2016 ftnonlinearchiv https://doi.org/10.5194/tc-10-1665-2016 2022-02-08T22:56:23Z As the accuracy and sensitivity of remote-sensing satellites improve, there is an increasing demand for more accurate and updated base datasets for surveying and monitoring. However, differentiating rock outcrop from snow and ice is a particular problem in Antarctica, where extensive cloud cover and widespread shaded regions lead to classification errors. The existing rock outcrop dataset has significant georeferencing issues as well as overestimation and generalisation of rock exposure areas. The most commonly used method for automated rock and snow differentiation, the normalised difference snow index (NDSI), has difficulty differentiating rock and snow in Antarctica due to misclassification of shaded pixels and is not able to differentiate illuminated rock from clouds. This study presents a new method for identifying rock exposures using Landsat 8 data. This is the first automated methodology for snow and rock differentiation that excludes areas of snow (both illuminated and shaded), clouds and liquid water whilst identifying both sunlit and shaded rock, achieving higher and more consistent accuracies than alternative data and methods such as the NDSI. The new methodology has been applied to the whole Antarctic continent (north of 82°40′ S) using Landsat 8 data to produce a new rock outcrop dataset for Antarctica. The new data (merged with existing data where Landsat 8 tiles are unavailable; most extensively south of 82°40′ S) reveal that exposed rock forms 0.18 % (21 745 km2) of the total land area of Antarctica: half of previous estimates. Article in Journal/Newspaper Antarc* Antarctic Antarctica The Cryosphere New Rock Niedersächsisches Online-Archiv NOA Antarctic New Rock ENVELOPE(-60.734,-60.734,-63.007,-63.007) The Cryosphere 10 4 1665 1677
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Burton-Johnson, Alex
Black, Martin
Fretwell, Peter T.
Kaluza-Gilbert, Joseph
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
topic_facet article
Verlagsveröffentlichung
description As the accuracy and sensitivity of remote-sensing satellites improve, there is an increasing demand for more accurate and updated base datasets for surveying and monitoring. However, differentiating rock outcrop from snow and ice is a particular problem in Antarctica, where extensive cloud cover and widespread shaded regions lead to classification errors. The existing rock outcrop dataset has significant georeferencing issues as well as overestimation and generalisation of rock exposure areas. The most commonly used method for automated rock and snow differentiation, the normalised difference snow index (NDSI), has difficulty differentiating rock and snow in Antarctica due to misclassification of shaded pixels and is not able to differentiate illuminated rock from clouds. This study presents a new method for identifying rock exposures using Landsat 8 data. This is the first automated methodology for snow and rock differentiation that excludes areas of snow (both illuminated and shaded), clouds and liquid water whilst identifying both sunlit and shaded rock, achieving higher and more consistent accuracies than alternative data and methods such as the NDSI. The new methodology has been applied to the whole Antarctic continent (north of 82°40′ S) using Landsat 8 data to produce a new rock outcrop dataset for Antarctica. The new data (merged with existing data where Landsat 8 tiles are unavailable; most extensively south of 82°40′ S) reveal that exposed rock forms 0.18 % (21 745 km2) of the total land area of Antarctica: half of previous estimates.
format Article in Journal/Newspaper
author Burton-Johnson, Alex
Black, Martin
Fretwell, Peter T.
Kaluza-Gilbert, Joseph
author_facet Burton-Johnson, Alex
Black, Martin
Fretwell, Peter T.
Kaluza-Gilbert, Joseph
author_sort Burton-Johnson, Alex
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher Copernicus Publications
publishDate 2016
url https://doi.org/10.5194/tc-10-1665-2016
https://noa.gwlb.de/receive/cop_mods_00011749
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00011706/tc-10-1665-2016.pdf
https://tc.copernicus.org/articles/10/1665/2016/tc-10-1665-2016.pdf
long_lat ENVELOPE(-60.734,-60.734,-63.007,-63.007)
geographic Antarctic
New Rock
geographic_facet Antarctic
New Rock
genre Antarc*
Antarctic
Antarctica
The Cryosphere
New Rock
genre_facet Antarc*
Antarctic
Antarctica
The Cryosphere
New Rock
op_relation The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424
https://doi.org/10.5194/tc-10-1665-2016
https://noa.gwlb.de/receive/cop_mods_00011749
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00011706/tc-10-1665-2016.pdf
https://tc.copernicus.org/articles/10/1665/2016/tc-10-1665-2016.pdf
op_rights uneingeschränkt
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/tc-10-1665-2016
container_title The Cryosphere
container_volume 10
container_issue 4
container_start_page 1665
op_container_end_page 1677
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