• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2008-10-10T00:00:00.000+00:00

Preliminary hard and soft seafloor substrate map derived from an unsupervised classification of multibeam backscatter and bathymety derivatives at the U.S. Territory of Guam. The dataset was...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2009-09-01T00:00:00.000+00:00

Preliminary hard and soft seafloor substrate map derived from an unsupervised classification of multibeam backscatter and bathymety derivatives at French Frigate Shoals, Northwestern Hawaiian...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2008-06-02T00:00:00.000+00:00

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....

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2008-10-10T00:00:00.000+00:00

Preliminary hard and soft seafloor substrate map derived from an unsupervised classification of multibeam backscatter and bathymety derivatives at Pagan Island, Commonwealth of the Northern...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2008-10-10T00:00:00.000+00:00

Preliminary hard and soft seafloor substrate map derived from an unsupervised classification of multibeam backscatter and bathymety derivatives at Tinian Islands and Tatsumi Bank, CNMI. The...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2008-10-10T00:00:00.000+00:00

Preliminary hard and soft seafloor substrate map derived from an unsupervised classification of multibeam backscatter and bathymety derivatives at Saipan Island, Commonwealth of the Northern...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2013-04-04T00:00:00.000+00:00

Preliminary hard and soft seafloor substrate map derived from an unsupervised classification of multibeam backscatter and bathymety derivatives of Ni'ihau Island, Hawaii, USA . The dataset was...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2010-10-13T00:00:00.000+00:00

Preliminary hard and soft seafloor substrate map derived from an unsupervised classification of multibeam backscatter and bathymety derivatives at Ta'u Island, Territory of American Samoa, USA ....

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2011-07-29T00:00:00.000+00:00

Preliminary hard and soft seafloor substrate map derived from an unsupervised classification of multibeam backscatter and bathymetry derivatives at Swains Island, Territory of American Samoa, USA....

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2016-01-01T00:00:00.000+00:00

Substrate, Hard bottom vs. Soft bottom: This is a preliminary product. Cell values reflect whether the seafloor is hard bottom or soft bottom based on an unsupervised classification run using...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2010-10-13T00:00:00.000+00:00

Preliminary hard and soft seafloor substrate map derived from an unsupervised classification of multibeam backscatter and bathymety derivatives at Ofu and Olosega Islands, Territory of American...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2011-07-29T00:00:00.000+00:00

Preliminary hard and soft seafloor substrate map derived from an unsupervised classification of multibeam backscatter and bathymetry derivatives at Rose Atoll, Territory of American Samoa, USA....

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2013-10-22T00:00:00.000+00:00

Preliminary hard and soft seafloor substrate map derived from an unsupervised classification of multibeam backscatter, bathymety derivatives, and bathymetry derived from multispectral World View-2...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2011-07-29T00:00:00.000+00:00

Preliminary hard and soft seafloor substrate map derived from an unsupervised classification of multibeam backscatter and bathymetry derivatives at Rose Atoll Lagoon, Territory of American Samoa,...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2016-01-01T00:00:00.000+00:00

Hard and soft bottom seafloor substrate data and maps for the NOAA Habitat Blueprint West Hawaii Focus Area (WHFA) in the Main Hawaiian Islands. Cell values in the raster datasets reflect whether...

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• Organization: Department of the Interior
• Updated: 2020-08-27T00:00:00Z

These data are remote sensing image-based classification maps of unvegetated river-derived sand along the Colorado River. One map is based on imagery acquired in May 2013 and is a classification...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2016-01-25T00:00:00.000+00:00

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....

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2016-01-25T00:00:00.000+00:00

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....

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2016-01-25T00:00:00.000+00:00

Preliminary hard and soft seafloor substrate map derived from an unsupervised classification of multibeam backscatter and bathymetry derivatives at Swains Island, American Samoa. The dataset was...

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• Organization: National Aeronautics and Space Administration
• Updated: 2025-03-31

Although mixed-membership models have achieved great success in unsupervised learning, they have not been widely applied to classification problems. In this paper, we propose a family of...

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