AFSC/RACE/GAP/McConnaughey: Bristol Bay Reconnaissance Study-2002-QINsy

Description

Environmental variables that are ecologically relevant and easily measured over large areas are useful for modelling species distributions and habitats. Continuous acoustic, sonar-backscatter data convey information about physical properties of the seabed, and hence could be a valuable addition to that suite of variables. The potential utility of acoustic backscatter was tested for improving habitat models of marine species using data from a pilot sidescan-sonar survey conducted from 28 June to 3 July 2002 in the Bristol Bay region of the eastern Bering Sea (EBS). Raw digital backscatter data were processed with QTC SIDEVIEW and CLAMS software to objectively segment bedform based on statistical analysis of the echograms. Resultant acoustic variables - Q-values (Q1, Q2, and Q3)-, representing the first three principal components of the data derived from image analysis of backscatter echoes, and a complexity metric (compx) measuring the variance of Q-values in a geographic area - were used in multiple linear regression to model individual species abundance from bottom-trawl survey data.

Resources

Name Format Description Link
57 32381_GAP_2002_Bristol-Bay-Reconnaissance-Study-QINSy.zip https://access.afsc.noaa.gov/data-zips/32381_GAP_2002_Bristol-Bay-Reconnaissance-Study-QINSy.zip
0 View the complete metadata record on InPort for more information about this dataset. https://www.fisheries.noaa.gov/inport/item/32381
0 The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. https://www.earthdata.nasa.gov/learn/find-data/idn/gcmd-keywords
33 NOAA Data Management Plan for this record on InPort. https://www.fisheries.noaa.gov/inportserve/waf/noaa/nmfs/afsc/dmp/pdf/32381.pdf
0 View the complete metadata record on InPort for more information about this dataset. https://www.fisheries.noaa.gov/inport/item/32381
57 32381_GAP_2002_Bristol-Bay-Reconnaissance-Study-QINSy.zip https://access.afsc.noaa.gov/data-zips/32381_GAP_2002_Bristol-Bay-Reconnaissance-Study-QINSy.zip
33 NOAA Data Management Plan for this record on InPort. https://www.fisheries.noaa.gov/inportserve/waf/noaa/nmfs/afsc/dmp/pdf/32381.pdf
0 Global Change Master Directory (GCMD). 2024. GCMD Keywords, Version 19. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords

Tags

  • alaska fisheries science center
  • noaa
  • acoustic sediment classification
  • afsc/race/gap/mcconnaughey: bristol bay reconnaissance study-2002
  • u.s. department of commerce
  • national marine fisheries service
  • doc/noaa/nmfs/afsc
  • bering sea
  • grain size analysis

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Categories