| Identifier | G297PS | ||||||||
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| Alternate names | G-2-97-PS | ||||||||
| Purpose | High-resolution, seismic-reflection data were collected in central and southern Puget Sound and adjacent waterways in an effort to locate and characterize active faults within the Puget Sound lowland. | ||||||||
| Description | Chief Scientists: Shawn Dadisman, Sam Johnson, Jon Childs. Geophysical data (GPS, uniboom, bubblepulser, airgunmonitor, multichannel, integratednavigation) of field activity G-2-97-PS in Puget Sound, Washington from 06/25/1997 to 07/03/1997 | ||||||||
| Location | Washington | ||||||||
| Summary | Location and characteristics of faults in southern Puget Sound. | ||||||||
| Comments | physical data holdings Staff information imported from InfoBank Shawn Dadisman (USGS Western Region) - Chief Scientist Sam Johnson (USGS Western Region) - Chief Scientist Jon Childs (USGS Western Region) - Chief Scientist Larry Kooker (USGS Western Region) - Electronic Tech Fred Payne (USGS Western Region) - Electronic Tech Kevin O'Toole (USGS Western Region) - Mechanical Tech Walter Barnhardt (USGS Western Region) - Geologist Walt Olsen (USGS Western Region) - Mechanical Tech Kurt Johnson - Captain Curtis Lind - Chief Engineer Dennys Marklight - Chief Mate | ||||||||
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| Activity | Geophysical |
| Principal investigators | Samuel Y JohnsonJonathan R Childs | ||||||||
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| Affiliate staff | Kurt Johnson - Captain,Curtis Lind - Chief Engineer,Dennys Marklight - Chief Mate |
| Data category: | Location-Elevation, Seismics, Sonar |
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| Data type: | Navigation, Air Gun / Water Gun, Boomer, Bubble Gun, Multichannel, Single Beam |
| Equipment | Usage description | Data types | Datasets |
|---|---|---|---|
| GPS | Navigation | 1 | |
| bubblepulser | Bubble Gun | 1 | |
| airgunmonitor | Air Gun / Water Gun | 1 | |
| multichannel | Multichannel | 9 | |
| integratednavigation | Navigation | 7 | |
| uniboom | Boomer | 1 | |
| bathymetry | Single Beam | 3 |
| Dataset name | Equipment | Description | Dataset contact |
|---|---|---|---|
| CMECS geoform, substrate, and biotopes offshore of Tacoma, Washington | multichannel | This part of USGS Data Series 935 (Cochrane, 2014) presents substrate, geomorphic, and biotope data in the Offshore of Tacoma, Washington, map area, a part of the Southern Salish Sea Habitat Map Series. Given the variable bathymetric resolution, the complex geologic history of the region, and the lack of acoustic backscatter data, automated and semi-automated classification schemes of classifying seafloor substrate and geoform were deemed to have very low accuracy. Instead, classification of these properties was performed manually following the Coastal and Marine Ecological Classification Standard (CMECS, Federal Geographic Data Committee, 2012) using observations from underwater video footage. The best overall predictors of biotic assemblage were used to generate the CMECS biotopes. However, the nature of the biological data gathered makes it difficult to define clear biotopes. It was difficult to see or identify many organisms in the underwater video, and with an average of only 3-4 taxa identified per sampling unit, it is hard to characterize biotic assemblages. Some biological clusters of taxa were identified statistically for multiple map areas, and within each area, some of these groupings were found at consistent depths and/or with predictable substrates. The maps are not fine-grained enough to capture the physical variation seen within one-minute video units. Depth zones in the biotope map are based on Dethier (1992). | Guy R Cochrane |
| CMECS geoform, substrate, and biotopes offshore of Burien, Washington | multichannel | This part of USGS Data Series 935 (Cochrane, 2014) presents substrate, geomorphic, and biotope data in the Offshore of Burien, Washington, map area, a part of the Southern Salish Sea Habitat Map Series. Given the variable bathymetric resolution, the complex geologic history of the region, and the lack of acoustic backscatter data, automated and semi-automated classification schemes of classifying seafloor substrate and geoform were deemed to have very low accuracy. Instead, classification of these properties was performed manually following the Coastal and Marine Ecological Classification Standard (CMECS, Madden and others, 2009) using observations from underwater video footage. The best overall predictors of biotic assemblage were used to generate the CMECS biotopes. However, the nature of the biological data gathered makes it difficult to define clear biotopes. It was difficult to see or identify many organisms in the underwater video, and with an average of only 3-4 taxa identified per sampling unit, it is hard to characterize biotic assemblages. Some biological clusters of taxa were identified statistically for multiple map areas, and within each area, some of these groupings were found at consistent depths and/or with predictable substrates. The maps are not fine-grained enough to capture the physical variation seen within one-minute video units. Depth zones in the biotope map are based on Dethier (1992). | Guy R Cochrane |
| CMECS geoform, substrate, and biotopes offshore of Tacoma, Washington | bathymetry | This part of USGS Data Series 935 (Cochrane, 2014) presents substrate, geomorphic, and biotope data in the Offshore of Tacoma, Washington, map area, a part of the Southern Salish Sea Habitat Map Series. Given the variable bathymetric resolution, the complex geologic history of the region, and the lack of acoustic backscatter data, automated and semi-automated classification schemes of classifying seafloor substrate and geoform were deemed to have very low accuracy. Instead, classification of these properties was performed manually following the Coastal and Marine Ecological Classification Standard (CMECS, Federal Geographic Data Committee, 2012) using observations from underwater video footage. The best overall predictors of biotic assemblage were used to generate the CMECS biotopes. However, the nature of the biological data gathered makes it difficult to define clear biotopes. It was difficult to see or identify many organisms in the underwater video, and with an average of only 3-4 taxa identified per sampling unit, it is hard to characterize biotic assemblages. Some biological clusters of taxa were identified statistically for multiple map areas, and within each area, some of these groupings were found at consistent depths and/or with predictable substrates. The maps are not fine-grained enough to capture the physical variation seen within one-minute video units. Depth zones in the biotope map are based on Dethier (1992). | Guy R Cochrane |
Cochrane, G.R., 2022, Bathymetry and topography, video observation, and derived benthic habitat data offshore of Burien, Washington: , https://doi.org/10.5066/P96T1B44.
Cochrane, G.R., 2023, Multibeam echo sounder, video observation, and derived benthic habitat data offshore of Tacoma, Washington: , https://doi.org/10.5066/P9KA6GH2.