Generating higher resolution regional seafloor maps from crowd-sourced bathymetry.
Seafloor mapping can offer important insights for marine management, spatial planning, and research in marine geology, ecology, and oceanography. Here, we present a method for generating regional bathymetry and geomorphometry maps from crowd-sourced depth soundings (Olex AS) for a small fraction of...
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ftdoajarticles:oai:doaj.org/article:63579b24969147df8645723acaa83fd0 2023-05-15T17:22:23+02:00 Generating higher resolution regional seafloor maps from crowd-sourced bathymetry. Emilie Novaczek Rodolphe Devillers Evan Edinger 2019-01-01T00:00:00Z https://doi.org/10.1371/journal.pone.0216792 https://doaj.org/article/63579b24969147df8645723acaa83fd0 EN eng Public Library of Science (PLoS) https://doi.org/10.1371/journal.pone.0216792 https://doaj.org/toc/1932-6203 1932-6203 doi:10.1371/journal.pone.0216792 https://doaj.org/article/63579b24969147df8645723acaa83fd0 PLoS ONE, Vol 14, Iss 6, p e0216792 (2019) Medicine R Science Q article 2019 ftdoajarticles https://doi.org/10.1371/journal.pone.0216792 2022-12-31T13:16:18Z Seafloor mapping can offer important insights for marine management, spatial planning, and research in marine geology, ecology, and oceanography. Here, we present a method for generating regional bathymetry and geomorphometry maps from crowd-sourced depth soundings (Olex AS) for a small fraction of the cost of multibeam data collection over the same area. Empirical Bayesian Kriging was used to generate a continuous bathymetric surface from incomplete and, in some areas, sparse Olex coverage on the Newfoundland and Labrador shelves of eastern Canada. The result is a 75m bathymetric grid that provides over 100x finer spatial resolution than previously available for the majority of the 672,900 km2 study area. The interpolated bathymetry was tested for accuracy against independent depth data provided by Fisheries and Oceans Canada (Spearman correlation = 0.99, p<0.001). Quantitative terrain attributes were generated to better understand seascape characteristics at multiple spatial scales, including slope, rugosity, aspect, and bathymetric position index. Landform classification was carried out using the geomorphons algorithm and a novel method for the identification of previously unmapped tributary canyons at the continental shelf edge are also presented to illustrate some of many potential benefits of crowd-sourced regional seafloor mapping. Article in Journal/Newspaper Newfoundland Directory of Open Access Journals: DOAJ Articles Newfoundland Canada PLOS ONE 14 6 e0216792 |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Medicine R Science Q |
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Medicine R Science Q Emilie Novaczek Rodolphe Devillers Evan Edinger Generating higher resolution regional seafloor maps from crowd-sourced bathymetry. |
topic_facet |
Medicine R Science Q |
description |
Seafloor mapping can offer important insights for marine management, spatial planning, and research in marine geology, ecology, and oceanography. Here, we present a method for generating regional bathymetry and geomorphometry maps from crowd-sourced depth soundings (Olex AS) for a small fraction of the cost of multibeam data collection over the same area. Empirical Bayesian Kriging was used to generate a continuous bathymetric surface from incomplete and, in some areas, sparse Olex coverage on the Newfoundland and Labrador shelves of eastern Canada. The result is a 75m bathymetric grid that provides over 100x finer spatial resolution than previously available for the majority of the 672,900 km2 study area. The interpolated bathymetry was tested for accuracy against independent depth data provided by Fisheries and Oceans Canada (Spearman correlation = 0.99, p<0.001). Quantitative terrain attributes were generated to better understand seascape characteristics at multiple spatial scales, including slope, rugosity, aspect, and bathymetric position index. Landform classification was carried out using the geomorphons algorithm and a novel method for the identification of previously unmapped tributary canyons at the continental shelf edge are also presented to illustrate some of many potential benefits of crowd-sourced regional seafloor mapping. |
format |
Article in Journal/Newspaper |
author |
Emilie Novaczek Rodolphe Devillers Evan Edinger |
author_facet |
Emilie Novaczek Rodolphe Devillers Evan Edinger |
author_sort |
Emilie Novaczek |
title |
Generating higher resolution regional seafloor maps from crowd-sourced bathymetry. |
title_short |
Generating higher resolution regional seafloor maps from crowd-sourced bathymetry. |
title_full |
Generating higher resolution regional seafloor maps from crowd-sourced bathymetry. |
title_fullStr |
Generating higher resolution regional seafloor maps from crowd-sourced bathymetry. |
title_full_unstemmed |
Generating higher resolution regional seafloor maps from crowd-sourced bathymetry. |
title_sort |
generating higher resolution regional seafloor maps from crowd-sourced bathymetry. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2019 |
url |
https://doi.org/10.1371/journal.pone.0216792 https://doaj.org/article/63579b24969147df8645723acaa83fd0 |
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Newfoundland Canada |
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Newfoundland Canada |
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Newfoundland |
genre_facet |
Newfoundland |
op_source |
PLoS ONE, Vol 14, Iss 6, p e0216792 (2019) |
op_relation |
https://doi.org/10.1371/journal.pone.0216792 https://doaj.org/toc/1932-6203 1932-6203 doi:10.1371/journal.pone.0216792 https://doaj.org/article/63579b24969147df8645723acaa83fd0 |
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https://doi.org/10.1371/journal.pone.0216792 |
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PLOS ONE |
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