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  Date_Stamp: 
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  Metadata_Standard_Name: 
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    Data_Identification: 
      Citation: 
        Citation: 
          Title: 
            Hard-Soft Seafloor Classification, 5m (Simrad) - Tutuila, American 
            Samoa
          Date: 
            Date: 
              Date: 
                Date: 
                  2016-01-25
              Date_Type: 
                Date_Type_Code: 
                  creation
          Date: 
            Date: 
              Date: 
                Date: 
                  2016-01-25
              Date_Type: 
                Date_Type_Code: 
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          Date: 
            Date: 
              Date: 
                Date: 
                  2016-01-25
              Date_Type: 
                Date_Type_Code: 
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                  Date: 
              Code: 
                as_pibhmc_tut_5m_hardsoft_simrad
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                Pacific Islands Benthic Habitat Mapping Center (PIBHMC)
              Contact_Information: 
                Contact: 
                  Address: 
                    Address: 
                      Electronic_Mail_Address: 
                        pibhmc@soest.hawaii.edu
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              Contact_Information: 
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                  Address: 
                    Address: 
                      Electronic_Mail_Address: 
                        info@pacioos.org
                  Online_Resource: 
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                        URL: 
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      Abstract: 
        Preliminary hard and soft seafloor substrate map derived from an 
        unsupervised classification of multibeam backscatter and bathymety 
        derivatives at Tutuila Island, American Samoa, South Pacific. The 
        dataset was derived using a combination of Simrad em3002d backscatter, 
        bathymetric variance, and bathymetric rugosity. The sonar frequencies 
        was 300 kHz 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.
      Purpose: 
        PacIOOS provides timely, reliable, and accurate ocean information to 
        support a safe, clean, productive ocean and resilient coastal zone in 
        the U.S. Pacific Islands region.
      Credit: 
        The Pacific Islands Ocean Observing System (PacIOOS) is funded through 
        the National Oceanic and Atmospheric Administration (NOAA) as a 
        Regional Association within the U.S. Integrated Ocean Observing System 
        (IOOS). PacIOOS is coordinated by the University of Hawaii School of 
        Ocean and Earth Science and Technology (SOEST).
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      Descriptive_Keywords: 
        Keywords: 
          Keyword: 
            Earth Science > Land Surface > Geomorphology > Coastal 
            Landforms/Processes
          Keyword: 
            Earth Science > Oceans > Bathymetry/Seafloor Topography > Hard 
            Seafloor Substrate
          Keyword: 
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            Seafloor Substrate
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          Thesaurus_Name: 
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              Date: 
      Resource_Constraints: 
        Legal_Constraints: 
          Use_Limitation: 
            The data may be used and redistributed for free but is not 
            intended for legal use, since it may contain inaccuracies. Neither 
            the data Contributor, University of Hawaii, PacIOOS, NOAA, State 
            of Hawaii nor the United States Government, nor any of their 
            employees or contractors, makes any warranty, express or implied, 
            including warranties of merchantability and fitness for a 
            particular purpose, or assumes any legal liability for the 
            accuracy, completeness, or usefulness, of this information.
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                Pacific Islands Ocean Observing System (PacIOOS)
              Date: 
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      Language: 
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        Citation: 
          Title: 
            Hard-Soft Seafloor Classification, 5m (Simrad) - Tutuila, American 
            Samoa
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            Date: 
              Date: 
                Date: 
                  2016-01-25
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              Date: 
                Date: 
                  2016-01-25
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                Pacific Islands Benthic Habitat Mapping Center (PIBHMC)
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      Abstract: 
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        unsupervised classification of multibeam backscatter and bathymety 
        derivatives at Tutuila Island, American Samoa, South Pacific. The 
        dataset was derived using a combination of Simrad em3002d backscatter, 
        bathymetric variance, and bathymetric rugosity. The sonar frequencies 
        was 300 kHz 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 
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            Hard-Soft Seafloor Classification, 5m (Simrad) - Tutuila, American 
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      Abstract: 
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        unsupervised classification of multibeam backscatter and bathymety 
        derivatives at Tutuila Island, American Samoa, South Pacific. The 
        dataset was derived using a combination of Simrad em3002d backscatter, 
        bathymetric variance, and bathymetric rugosity. The sonar frequencies 
        was 300 kHz 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 
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            Hard-Soft Seafloor Classification, 5m (Simrad) - Tutuila, American 
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                  2016-01-25
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      Abstract: 
        Preliminary hard and soft seafloor substrate map derived from an 
        unsupervised classification of multibeam backscatter and bathymety 
        derivatives at Tutuila Island, American Samoa, South Pacific. The 
        dataset was derived using a combination of Simrad em3002d backscatter, 
        bathymetric variance, and bathymetric rugosity. The sonar frequencies 
        was 300 kHz 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 
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