Field Activity G297PS

Identifier G297PS
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
Projects
Platform
Robert Gray
Itinerary
Start (port not specified) 1997-06-25
End (port not specified) 1997-07-03
Bounds
West -122.98
East -122.30549
North 47.98279
South 47.08711
Activity Geophysical

Personnel

Principal investigators Samuel Y JohnsonJonathan R Childs
Crew members
Kooker, Larry
Scientist, Staff
Olson, Walt
Scientist, Staff
O'Toole, Kevin
Scientist, Staff
Payne, Fred
Scientist, Staff
Affiliate staff Kurt Johnson - Captain,Curtis Lind - Chief Engineer,Dennys Marklight - Chief Mate

Data types and categories

Data category: Location-Elevation, Seismics, Sonar
Data type: Navigation, Air Gun / Water Gun, Boomer, Bubble Gun, Multichannel, Single Beam

Equipment used

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

Datasets

Datasets produced in this activity

Dataset name Equipment Description Dataset contact
Survey information GPS Jonathan R Childs
Survey information bubblepulser Jonathan R Childs
Survey information airgunmonitor Jonathan R Childs
Multichannel data (stack data) multichannel Download SEG-Y files from National Archive of Marine Seismic Surveys (NAMSS) Jonathan R Childs
Raw seismic shot point data g-2-97-ps.400 multichannel Jonathan R Childs
Raw seismic shot point data g-2-97-ps.400_061 multichannel Jonathan R Childs
Raw seismic shot point data g-2-97-ps.400_20 multichannel Jonathan R Childs
Raw seismic shot point data g-2-97-ps.400_20_061 multichannel Jonathan R Childs
Seismic FFID/Shot/CDP data g-2-97-ps.410_062 multichannel Provisional best file Jonathan R Childs
Survey information multichannel Jonathan R Childs
Best file with nav in ArcInfo E00 format integratednavigation Jonathan R Childs
Global positioning system (GPS) data light g-2-97-ps.061 integratednavigation Provisional best file Jonathan R Childs
Global positioning system (GPS) data light g-2-97-ps.061_1min_tck integratednavigation Jonathan R Childs
Global positioning system (GPS) data light g-2-97-ps.061_degree integratednavigation Jonathan R Childs
Global positioning system (GPS) data light g-2-97-ps.061.tck integratednavigation Jonathan R Childs
Global positioning system (GPS) data light g-2-97-ps.062 integratednavigation Jonathan R Childs
Survey information integratednavigation Jonathan R Childs
Survey information uniboom Jonathan R Childs
Raw depth (bathymetry) data g-2-97-ps.300 bathymetry Jonathan R Childs
Raw depth (bathymetry) data g-2-97-ps.300_061 bathymetry Provisional best file Jonathan R Childs

Datasets compiled from multiple sources

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

Publications

Samples collected during this field activity