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Generating higher resolution regional seafloor maps from crowd-sourced bathymetry.

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  • معلومة اضافية
    • المصدر:
      Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
    • بيانات النشر:
      Original Publication: San Francisco, CA : Public Library of Science
    • الموضوع:
      Crowdsourcing*; Oceanography/*methods; Signal-To-Noise Ratio
    • نبذة مختصرة :
      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.
      Competing Interests: The authors have declared that no competing interests exist.
    • References:
      Proc Biol Sci. 2010 Sep 22;277(1695):2783-92. (PMID: 20444722)
      PLoS One. 2015 Oct 23;10(10):e0140061. (PMID: 26496639)
      PLoS One. 2016 Dec 21;11(12):e0167128. (PMID: 28002453)
      PLoS One. 2018 Feb 28;13(2):e0193647. (PMID: 29489899)
    • الموضوع:
      Date Created: 20190611 Date Completed: 20200203 Latest Revision: 20200309
    • الموضوع:
      20250114
    • الرقم المعرف:
      PMC6557478
    • الرقم المعرف:
      10.1371/journal.pone.0216792
    • الرقم المعرف:
      31181079