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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Published in:Polar Research
Main Authors: Stichbury, Glen, Brabyn, Lars, Green, T.G. Allan, Cary, Craig
Format: Article in Journal/Newspaper
Language:English
Published: Norwegian Polar Institute 2011
Subjects:
GIS
Online Access:https://polarresearch.net/index.php/polar/article/view/3045
https://doi.org/10.3402/polar.v30i0.6330
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spelling 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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