Dataset compilation by GRASS GIS for thematic mapping of Antarctica: Topographic surface, ice thickness, subglacial bed elevation and sediment thickness
This paper presents the GRASS GIS-based thematic mapping of Antarctica using scripting approach and associated datasets on topography and geophysics. The state-ofthe art in cartographic development points at two important aspects. The first one comprises shell scripting promoted repeatability of the...
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ftunibolognairis:oai:cris.unibo.it:11585/967837 2024-05-19T07:29:25+00:00 Dataset compilation by GRASS GIS for thematic mapping of Antarctica: Topographic surface, ice thickness, subglacial bed elevation and sediment thickness Lemenkova P. Lemenkova P. 2021 ELETTRONICO https://hdl.handle.net/11585/967837 https://doi.org/10.5817/CPR2021-1-6 https://journals.muni.cz/CPR/article/view/15418 https://hal.archives-ouvertes.fr/hal-03327151 http://ssrn.com/abstract=3912161 https://doi.org/10.5281/zenodo.5274757 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000937848600006 volume:11 issue:1 firstpage:67 lastpage:85 numberofpages:19 journal:CZECH POLAR REPORTS (PRINT) https://hdl.handle.net/11585/967837 doi:10.5817/CPR2021-1-6 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85114706107 https://journals.muni.cz/CPR/article/view/15418 https://hal.archives-ouvertes.fr/hal-03327151 http://ssrn.com/abstract=3912161 https://doi.org/10.5281/zenodo.5274757 Antarctic Cartography ETOPO1 Geoid Geophysic GRASS GIS Ice shelf thickne Mapping Script Sedimentation Topography info:eu-repo/semantics/article 2021 ftunibolognairis https://doi.org/10.5817/CPR2021-1-610.5281/zenodo.5274757 2024-04-26T00:17:50Z This paper presents the GRASS GIS-based thematic mapping of Antarctica using scripting approach and associated datasets on topography and geophysics. The state-ofthe art in cartographic development points at two important aspects. The first one comprises shell scripting promoted repeatability of the GIS technique, increased automatization in cartographic workflow, and compatibility of GRASS with Python, PROJ and GDAL libraries which enables advanced geospatial data processing: Converting formats, re-projecting and spatial analysis. The second aspect is that data visualization greatly influences geologic research through improving the interpretation between the Antarctic glaciation and surface. This includes the machine learning algorithms of image classification enabling to distinguish between glacier and non-glacier surfaces through automatically partitioning data and analysis of various types of surfaces. Presented detailed maps of Antarctic include visualized datasets from the ETOPO1, GlobSed, EGM96 and Bedmap2 projects. The grids include bed and surface elevation, ETOPO1-based bathymetry and topography, bed, ice and sediment thickness, grounded bed uncertainty, subglacial bed elevation, geoid undulations, ice mask grounded and shelves. Data show the distribution of the present-day glacier, geophysical fields and topographic landforms for analysis of processes and correlations between the geophysical and geological phenomena. Advances in scripting cartography are significant contributions to the geological and glaciological research. Processing high-resolution datasets of Southern Ocean retrieved by remote sensing methods present new steps in automatization of the digital mapping, as presented in this research, and promotes comprehensive monitoring of geological, permafrost and glacial processes in Antarctica. All maps have been plotted using GRASS GIS version 7.8. with technical details of scripts described and interpreted. Article in Journal/Newspaper Antarc* Antarctic Antarctica Ice Ice Shelf permafrost Southern Ocean IRIS Università degli Studi di Bologna (CRIS - Current Research Information System) |
institution |
Open Polar |
collection |
IRIS Università degli Studi di Bologna (CRIS - Current Research Information System) |
op_collection_id |
ftunibolognairis |
language |
English |
topic |
Antarctic Cartography ETOPO1 Geoid Geophysic GRASS GIS Ice shelf thickne Mapping Script Sedimentation Topography |
spellingShingle |
Antarctic Cartography ETOPO1 Geoid Geophysic GRASS GIS Ice shelf thickne Mapping Script Sedimentation Topography Lemenkova P. Dataset compilation by GRASS GIS for thematic mapping of Antarctica: Topographic surface, ice thickness, subglacial bed elevation and sediment thickness |
topic_facet |
Antarctic Cartography ETOPO1 Geoid Geophysic GRASS GIS Ice shelf thickne Mapping Script Sedimentation Topography |
description |
This paper presents the GRASS GIS-based thematic mapping of Antarctica using scripting approach and associated datasets on topography and geophysics. The state-ofthe art in cartographic development points at two important aspects. The first one comprises shell scripting promoted repeatability of the GIS technique, increased automatization in cartographic workflow, and compatibility of GRASS with Python, PROJ and GDAL libraries which enables advanced geospatial data processing: Converting formats, re-projecting and spatial analysis. The second aspect is that data visualization greatly influences geologic research through improving the interpretation between the Antarctic glaciation and surface. This includes the machine learning algorithms of image classification enabling to distinguish between glacier and non-glacier surfaces through automatically partitioning data and analysis of various types of surfaces. Presented detailed maps of Antarctic include visualized datasets from the ETOPO1, GlobSed, EGM96 and Bedmap2 projects. The grids include bed and surface elevation, ETOPO1-based bathymetry and topography, bed, ice and sediment thickness, grounded bed uncertainty, subglacial bed elevation, geoid undulations, ice mask grounded and shelves. Data show the distribution of the present-day glacier, geophysical fields and topographic landforms for analysis of processes and correlations between the geophysical and geological phenomena. Advances in scripting cartography are significant contributions to the geological and glaciological research. Processing high-resolution datasets of Southern Ocean retrieved by remote sensing methods present new steps in automatization of the digital mapping, as presented in this research, and promotes comprehensive monitoring of geological, permafrost and glacial processes in Antarctica. All maps have been plotted using GRASS GIS version 7.8. with technical details of scripts described and interpreted. |
author2 |
Lemenkova P. |
format |
Article in Journal/Newspaper |
author |
Lemenkova P. |
author_facet |
Lemenkova P. |
author_sort |
Lemenkova P. |
title |
Dataset compilation by GRASS GIS for thematic mapping of Antarctica: Topographic surface, ice thickness, subglacial bed elevation and sediment thickness |
title_short |
Dataset compilation by GRASS GIS for thematic mapping of Antarctica: Topographic surface, ice thickness, subglacial bed elevation and sediment thickness |
title_full |
Dataset compilation by GRASS GIS for thematic mapping of Antarctica: Topographic surface, ice thickness, subglacial bed elevation and sediment thickness |
title_fullStr |
Dataset compilation by GRASS GIS for thematic mapping of Antarctica: Topographic surface, ice thickness, subglacial bed elevation and sediment thickness |
title_full_unstemmed |
Dataset compilation by GRASS GIS for thematic mapping of Antarctica: Topographic surface, ice thickness, subglacial bed elevation and sediment thickness |
title_sort |
dataset compilation by grass gis for thematic mapping of antarctica: topographic surface, ice thickness, subglacial bed elevation and sediment thickness |
publishDate |
2021 |
url |
https://hdl.handle.net/11585/967837 https://doi.org/10.5817/CPR2021-1-6 https://journals.muni.cz/CPR/article/view/15418 https://hal.archives-ouvertes.fr/hal-03327151 http://ssrn.com/abstract=3912161 https://doi.org/10.5281/zenodo.5274757 |
genre |
Antarc* Antarctic Antarctica Ice Ice Shelf permafrost Southern Ocean |
genre_facet |
Antarc* Antarctic Antarctica Ice Ice Shelf permafrost Southern Ocean |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000937848600006 volume:11 issue:1 firstpage:67 lastpage:85 numberofpages:19 journal:CZECH POLAR REPORTS (PRINT) https://hdl.handle.net/11585/967837 doi:10.5817/CPR2021-1-6 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85114706107 https://journals.muni.cz/CPR/article/view/15418 https://hal.archives-ouvertes.fr/hal-03327151 http://ssrn.com/abstract=3912161 https://doi.org/10.5281/zenodo.5274757 |
op_doi |
https://doi.org/10.5817/CPR2021-1-610.5281/zenodo.5274757 |
_version_ |
1799479139965599744 |