Preliminary hard and soft bottom seafloor substrate map derived from an unsupervised classification of gridded backscatter and bathymetry derivatives at French Frigate Shoals, Northwest Hawaiian Islands, USA

Description

Preliminary hard and soft seafloor substrate map derived from an unsupervised classification of multibeam backscatter and bathymety derivatives at French Frigate Shoals, Northwestern Hawaiian Islands, USA. The dataset was derived using a combination of Simrad em3002d and Reson 8101 backscatter, bathymetric variance and bathymetric rugosity. The sonar frequencies are 300 kHz and 240 kHz for the em3002d and the 8101 data respectively and all data were resampled to 5 m grid cell size prior to the classification. Initial supervised classifications of the backscatter data into hard and soft seafloor substrates, using seafloor photographs for groundtruthing and to define regions of interest, were used to define unsupervised class types and to visually evaluate the accuracy of the unsupervised classification seafloor substrate map.

Resources

Name Format Description Link
0 http://www.soest.hawaii.edu/pibhmc/cms/data-by-location/northwest-hawaiian-islands/french-frigate-shoals/geomorphology/
0 https://www.soest.hawaii.edu/pibhmc/cms/data-by-location/northwest-hawaiian-islands/french-frigate-shoals/geomorphology/

Tags

  • hard bottom
  • united states of america
  • unsupervised classification
  • bathymetry
  • oceans
  • hawaii
  • habitats
  • earth science
  • 1217
  • bathymetry/seafloor topography
  • french frigate shoals (24n166w0001)
  • nwhi
  • benthic habitat mapping and characterization - northwestern and main hawaiian islands
  • multibeam sonar
  • honolulu
  • multibeam backscatter
  • central pacific ocean
  • french frigate shoals
  • ocean basin
  • soft bottom
  • acoustic imagery
  • northwestern hawaiian islands
  • hard seafloor substrate
  • coris_metadata
  • pacific ocean
  • geographic information
  • substrate
  • soft seafloor substrate
  • country/territory
  • backscatter

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