Spatial modelling of wetness for the Antarctic Dry Valleys
This paper describes a method used to model relative wetness for part of the Antarctic Dry Valleys using Geographic Information Systems (GIS) and remote sensing. The model produces a relative index of liquid water availability using variables that influence the volume and distribution of water. Remo...
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Norwegian Polar Institute
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ftjpolarres:oai:journals.openacademia.net:article/3045 2023-05-15T14:01:21+02:00 Spatial modelling of wetness for the Antarctic Dry Valleys Stichbury, Glen Brabyn, Lars Green, T.G. Allan Cary, Craig 2011-03-16 application/pdf text/html application/epub+zip text/xml https://polarresearch.net/index.php/polar/article/view/3045 https://doi.org/10.3402/polar.v30i0.6330 eng eng Norwegian Polar Institute https://polarresearch.net/index.php/polar/article/view/3045/pdf_88 https://polarresearch.net/index.php/polar/article/view/3045/html_103 https://polarresearch.net/index.php/polar/article/view/3045/6887 https://polarresearch.net/index.php/polar/article/view/3045/xml_103 https://polarresearch.net/index.php/polar/article/view/3045 doi:10.3402/polar.v30i0.6330 Copyright (c) 2018 Polar Research Polar Research; Vol 30 (2011) 1751-8369 GIS water Antarctica remote sensing info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2011 ftjpolarres https://doi.org/10.3402/polar.v30i0.6330 2021-11-11T19:13:37Z This paper describes a method used to model relative wetness for part of the Antarctic Dry Valleys using Geographic Information Systems (GIS) and remote sensing. The model produces a relative index of liquid water availability using variables that influence the volume and distribution of water. Remote sensing using Moderate Resolution Imaging Spectroradiometer (MODIS) images collected over four years is used to calculate an average index of snow cover and this is combined with other water sources such as glaciers and lakes. This water source model is then used to weight a hydrological flow accumulation model that uses slope derived from Light Detection and Ranging (LIDAR) elevation data. The resulting wetness index is validated using three-dimensional visualization and a comparison with a high-resolution Advanced Land Observing Satellite image that shows drainage channels. This research demonstrates that it is possible to produce a wetness model of Antarctica using data that are becoming widely available. Keywords: GIS; water; Antarctica; remote sensing Citation: Polar Research 2011, 30, 6330, DOI:10.3402/polar.v30i0.6330 Article in Journal/Newspaper Antarc* Antarctic Antarctica Polar Research Polar Research (E-Journal) Antarctic The Antarctic Polar Research 30 1 6330 |
institution |
Open Polar |
collection |
Polar Research (E-Journal) |
op_collection_id |
ftjpolarres |
language |
English |
topic |
GIS water Antarctica remote sensing |
spellingShingle |
GIS water Antarctica remote sensing Stichbury, Glen Brabyn, Lars Green, T.G. Allan Cary, Craig Spatial modelling of wetness for the Antarctic Dry Valleys |
topic_facet |
GIS water Antarctica remote sensing |
description |
This paper describes a method used to model relative wetness for part of the Antarctic Dry Valleys using Geographic Information Systems (GIS) and remote sensing. The model produces a relative index of liquid water availability using variables that influence the volume and distribution of water. Remote sensing using Moderate Resolution Imaging Spectroradiometer (MODIS) images collected over four years is used to calculate an average index of snow cover and this is combined with other water sources such as glaciers and lakes. This water source model is then used to weight a hydrological flow accumulation model that uses slope derived from Light Detection and Ranging (LIDAR) elevation data. The resulting wetness index is validated using three-dimensional visualization and a comparison with a high-resolution Advanced Land Observing Satellite image that shows drainage channels. This research demonstrates that it is possible to produce a wetness model of Antarctica using data that are becoming widely available. Keywords: GIS; water; Antarctica; remote sensing Citation: Polar Research 2011, 30, 6330, DOI:10.3402/polar.v30i0.6330 |
format |
Article in Journal/Newspaper |
author |
Stichbury, Glen Brabyn, Lars Green, T.G. Allan Cary, Craig |
author_facet |
Stichbury, Glen Brabyn, Lars Green, T.G. Allan Cary, Craig |
author_sort |
Stichbury, Glen |
title |
Spatial modelling of wetness for the Antarctic Dry Valleys |
title_short |
Spatial modelling of wetness for the Antarctic Dry Valleys |
title_full |
Spatial modelling of wetness for the Antarctic Dry Valleys |
title_fullStr |
Spatial modelling of wetness for the Antarctic Dry Valleys |
title_full_unstemmed |
Spatial modelling of wetness for the Antarctic Dry Valleys |
title_sort |
spatial modelling of wetness for the antarctic dry valleys |
publisher |
Norwegian Polar Institute |
publishDate |
2011 |
url |
https://polarresearch.net/index.php/polar/article/view/3045 https://doi.org/10.3402/polar.v30i0.6330 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Antarctica Polar Research |
genre_facet |
Antarc* Antarctic Antarctica Polar Research |
op_source |
Polar Research; Vol 30 (2011) 1751-8369 |
op_relation |
https://polarresearch.net/index.php/polar/article/view/3045/pdf_88 https://polarresearch.net/index.php/polar/article/view/3045/html_103 https://polarresearch.net/index.php/polar/article/view/3045/6887 https://polarresearch.net/index.php/polar/article/view/3045/xml_103 https://polarresearch.net/index.php/polar/article/view/3045 doi:10.3402/polar.v30i0.6330 |
op_rights |
Copyright (c) 2018 Polar Research |
op_doi |
https://doi.org/10.3402/polar.v30i0.6330 |
container_title |
Polar Research |
container_volume |
30 |
container_issue |
1 |
container_start_page |
6330 |
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1766271095397154816 |