Geomorphometric Characterization of Pockmarks by Using a GIS-Based Semi-Automated Toolbox
Pockmarks are seabed depressions developed by fluid flow processes that can be found in vast numbers in many marine and lacustrine environments. Manual mapping of these features based on geophysical data is, however, extremely time-consuming and subjective. Here, we present results from a semi-autom...
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ftdoajarticles:oai:doaj.org/article:53088685683d498ca0fceb2566e41a92 2023-05-15T15:38:41+02:00 Geomorphometric Characterization of Pockmarks by Using a GIS-Based Semi-Automated Toolbox Joana Gafeira Margaret F. J. Dolan Xavier Monteys 2018-04-01T00:00:00Z https://doi.org/10.3390/geosciences8050154 https://doaj.org/article/53088685683d498ca0fceb2566e41a92 EN eng MDPI AG http://www.mdpi.com/2076-3263/8/5/154 https://doaj.org/toc/2076-3263 2076-3263 doi:10.3390/geosciences8050154 https://doaj.org/article/53088685683d498ca0fceb2566e41a92 Geosciences, Vol 8, Iss 5, p 154 (2018) pockmarks automated-mapping ArcGIS Glaciated Margin North Sea Malin Basin Barents Sea Geology QE1-996.5 article 2018 ftdoajarticles https://doi.org/10.3390/geosciences8050154 2022-12-31T01:52:06Z Pockmarks are seabed depressions developed by fluid flow processes that can be found in vast numbers in many marine and lacustrine environments. Manual mapping of these features based on geophysical data is, however, extremely time-consuming and subjective. Here, we present results from a semi-automated mapping toolbox developed to allow more efficient and objective mapping of pockmarks. This ArcGIS-based toolbox recognizes, spatially delineates, and morphometrically describes pockmarks. Since it was first developed, the toolbox has helped to map and characterize several thousands of pockmarks on the UK continental shelf, especially within the central North Sea. This paper presents the latest developments in the functionality of the toolbox and its adaptability for application to other geographic areas (Barents Sea, Norway, and Malin Deep, Ireland) with varied pockmark and seabed morphologies, and in different geological settings. The morphometric characterization of vast numbers of pockmarks allows an unprecedented statistical analysis of their morphology. The outputs from the toolbox provide an objective, quantitative baseline for combining this information with the geological and oceanographical knowledge of individual areas, which can provide further insights into the processes responsible for their development and their influence on local seabed conditions and habitats. Article in Journal/Newspaper Barents Sea Directory of Open Access Journals: DOAJ Articles Barents Sea Norway Geosciences 8 5 154 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
pockmarks automated-mapping ArcGIS Glaciated Margin North Sea Malin Basin Barents Sea Geology QE1-996.5 |
spellingShingle |
pockmarks automated-mapping ArcGIS Glaciated Margin North Sea Malin Basin Barents Sea Geology QE1-996.5 Joana Gafeira Margaret F. J. Dolan Xavier Monteys Geomorphometric Characterization of Pockmarks by Using a GIS-Based Semi-Automated Toolbox |
topic_facet |
pockmarks automated-mapping ArcGIS Glaciated Margin North Sea Malin Basin Barents Sea Geology QE1-996.5 |
description |
Pockmarks are seabed depressions developed by fluid flow processes that can be found in vast numbers in many marine and lacustrine environments. Manual mapping of these features based on geophysical data is, however, extremely time-consuming and subjective. Here, we present results from a semi-automated mapping toolbox developed to allow more efficient and objective mapping of pockmarks. This ArcGIS-based toolbox recognizes, spatially delineates, and morphometrically describes pockmarks. Since it was first developed, the toolbox has helped to map and characterize several thousands of pockmarks on the UK continental shelf, especially within the central North Sea. This paper presents the latest developments in the functionality of the toolbox and its adaptability for application to other geographic areas (Barents Sea, Norway, and Malin Deep, Ireland) with varied pockmark and seabed morphologies, and in different geological settings. The morphometric characterization of vast numbers of pockmarks allows an unprecedented statistical analysis of their morphology. The outputs from the toolbox provide an objective, quantitative baseline for combining this information with the geological and oceanographical knowledge of individual areas, which can provide further insights into the processes responsible for their development and their influence on local seabed conditions and habitats. |
format |
Article in Journal/Newspaper |
author |
Joana Gafeira Margaret F. J. Dolan Xavier Monteys |
author_facet |
Joana Gafeira Margaret F. J. Dolan Xavier Monteys |
author_sort |
Joana Gafeira |
title |
Geomorphometric Characterization of Pockmarks by Using a GIS-Based Semi-Automated Toolbox |
title_short |
Geomorphometric Characterization of Pockmarks by Using a GIS-Based Semi-Automated Toolbox |
title_full |
Geomorphometric Characterization of Pockmarks by Using a GIS-Based Semi-Automated Toolbox |
title_fullStr |
Geomorphometric Characterization of Pockmarks by Using a GIS-Based Semi-Automated Toolbox |
title_full_unstemmed |
Geomorphometric Characterization of Pockmarks by Using a GIS-Based Semi-Automated Toolbox |
title_sort |
geomorphometric characterization of pockmarks by using a gis-based semi-automated toolbox |
publisher |
MDPI AG |
publishDate |
2018 |
url |
https://doi.org/10.3390/geosciences8050154 https://doaj.org/article/53088685683d498ca0fceb2566e41a92 |
geographic |
Barents Sea Norway |
geographic_facet |
Barents Sea Norway |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_source |
Geosciences, Vol 8, Iss 5, p 154 (2018) |
op_relation |
http://www.mdpi.com/2076-3263/8/5/154 https://doaj.org/toc/2076-3263 2076-3263 doi:10.3390/geosciences8050154 https://doaj.org/article/53088685683d498ca0fceb2566e41a92 |
op_doi |
https://doi.org/10.3390/geosciences8050154 |
container_title |
Geosciences |
container_volume |
8 |
container_issue |
5 |
container_start_page |
154 |
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1766369934475001856 |