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-of-the art in cartographic development points at two important aspects. The first one comprises shell scripting promoted repeatability of th...

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Main Author: Lemenkova, Polina
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Ice
Online Access:https://zenodo.org/record/5274757
https://doi.org/10.5281/zenodo.5274757
id ftzenodo:oai:zenodo.org:5274757
record_format openpolar
spelling ftzenodo:oai:zenodo.org:5274757 2023-05-15T13:47:33+02:00 Dataset compilation by GRASS GIS for thematic mapping of Antarctica: Topographic surface, ice thickness, subglacial bed elevation and sediment thickness Lemenkova, Polina 2021-08-26 https://zenodo.org/record/5274757 https://doi.org/10.5281/zenodo.5274757 eng eng doi:10.5281/zenodo.5274756 https://zenodo.org/record/5274757 https://doi.org/10.5281/zenodo.5274757 oai:zenodo.org:5274757 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Czech Polar Reports 11(1) 67-85 Antarctic GRASS GIS script cartography mapping topography ETOPO1 ice shelf thickness sedimentation geoid geophysics info:eu-repo/semantics/article publication-article 2021 ftzenodo https://doi.org/10.5281/zenodo.527475710.5281/zenodo.5274756 2023-03-11T00:07:41Z This paper presents the GRASS GIS-based thematic mapping of Antarctica using scripting approach and associated datasets on topography and geophysics. The state-of-the 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 Zenodo Antarctic Southern Ocean The Antarctic
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
topic Antarctic
GRASS GIS
script
cartography
mapping
topography
ETOPO1
ice shelf thickness
sedimentation
geoid
geophysics
spellingShingle Antarctic
GRASS GIS
script
cartography
mapping
topography
ETOPO1
ice shelf thickness
sedimentation
geoid
geophysics
Lemenkova, Polina
Dataset compilation by GRASS GIS for thematic mapping of Antarctica: Topographic surface, ice thickness, subglacial bed elevation and sediment thickness
topic_facet Antarctic
GRASS GIS
script
cartography
mapping
topography
ETOPO1
ice shelf thickness
sedimentation
geoid
geophysics
description This paper presents the GRASS GIS-based thematic mapping of Antarctica using scripting approach and associated datasets on topography and geophysics. The state-of-the 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.
format Article in Journal/Newspaper
author Lemenkova, Polina
author_facet Lemenkova, Polina
author_sort Lemenkova, Polina
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://zenodo.org/record/5274757
https://doi.org/10.5281/zenodo.5274757
geographic Antarctic
Southern Ocean
The Antarctic
geographic_facet Antarctic
Southern Ocean
The Antarctic
genre Antarc*
Antarctic
Antarctica
Ice
Ice Shelf
permafrost
Southern Ocean
genre_facet Antarc*
Antarctic
Antarctica
Ice
Ice Shelf
permafrost
Southern Ocean
op_source Czech Polar Reports 11(1) 67-85
op_relation doi:10.5281/zenodo.5274756
https://zenodo.org/record/5274757
https://doi.org/10.5281/zenodo.5274757
oai:zenodo.org:5274757
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.527475710.5281/zenodo.5274756
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