Filters: Types: GeoTIFF (X) > Types: Downloadable (X) > partyWithName: U.S. Geological Survey - ScienceBase (X) > partyWithName: Guy R. Cochrane (X)
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Seafloor character was derived from interpretations of air photo derived kelp distribution data available for the Santa Cruz Island (Kushner and others 2013). The number of substrate classes was reduced because rugosity could not be derived for all areas. References Cited: Kushner DJ, Rassweiler A, McLaughlin JP, Lafferty KD (2013) A multi-decade time series of kelp forest community structure at the California channel islands: Ecology 94:2655.
This Data Release contains data from the U.S. Geological Survey (USGS) survey of the Oregon outer Continental shelf (OCS) Floating Wind Farm Site in 2014.The backscatter intensity data was collected along with bathymetry data by USGS during the period from August 20 to September 1, 2014, using a Reson 7111 multibeam echosounder. The mapping mission collected bathymetry data from about 163 m to 566 m depths on the Oregon outer continental shelf. The acquisition was funded by the U.S. Bureau of Ocean Energy Management.Within the final imagery, brighter tones indicate higher backscatter intensity, and darker tones indicate lower backscatter intensity. The intensity represents a complex interaction between the acoustic...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Backscatter,
Bathymetry,
CSMP,
Coos Bay,
Geology,
This data release contains data from the USGS survey of the Oregon OCS Floating Wind Farm Site in 2014.The bathymetry and shaded-relief rasters were generated from bathymetry data collected by USGS during the period from August 20 to September 1, 2014. using a Reson 7111 multibeam echosounder. The mapping mission collected bathymetry data from about 163 m to 566 m depths on the Oregon outer continental shelf. The acquisition was funded by the U.S. Bureau of Ocean Energy Management.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: BOEM,
Bathymetry,
Bathymetry and Elevation,
Bureau of Ocean Energy Management,
Coos Bay,
Seafloor character was derived from interpretations of lidar data available for the mainland coast within the study area from the California State Waters Mapping Program (Johnson and others, 2012; Johnson and others, 2013a; Johnson and others, 2013b; Johnson and others, 2013c). The number of substrate classes was reduced because rugosity could not be derived for all areas. References Cited: Johnson, S.Y., Dartnell, P., Cochrane, G.R., Golden, N.E., Phillips, E.L., Ritchie, A.C., Greene, H.G., Krigsman, L.M., Kvitek, R.G., Dieter, B.E., Endris, C.A., Seitz, G.G., Sliter, R.W., Erdey, M.E., Gutierrez, C.I., Wong, F.L., Yoklavich, M.M., Draut, A.E., Hart, P.E., and Conrad, J.E. (S.Y. Johnson and S.A. Cochran, eds.),...
This data release contains data from the USGS survey of the Oregon OCS Floating Wind Farm Site in 2014.The shaded-relief raster was generated from bathymetry data collected by USGS during the period from August 20 to September 1, 2014. using a Reson 7111 multibeam echosounder. The mapping mission collected bathymetry data from about 163 m to 566 m depths on the Oregon outer continental shelf. The acquisition was funded by the U.S. Bureau of Ocean Energy Management.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: BOEM,
Bathymetry,
Bathymetry and Elevation,
Bureau of Ocean Energy Management,
Coos Bay,
This biotope raster is part of a data release of the Oregon outer continental shelf (OCS) proposed wind farm map site. The biotopes mapped in this area have been numbered to indicate combinations of seafloor hardness, ruggedness and depth associated with biotopes derived by analysis of video data as described in the accompanying Open-File Report (Cochrane and others, 2017). The map was created using video and multibeam echosounder bathymetry and backscatter data collected in 2014 and processed in 2015 (Cochrane and others, 2015). Cochrane, G.R., Dartnell, P., Hemery, L.G., and Hatcher, G., 2015, Data release for USGS field activity 2014-607-FA, Oregon OCS seafloor mapping; selected lease blocks relevant to renewable...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: BOEM,
Bureau of Ocean Energy Management,
CMECS,
CMGP,
Coastal and Marine Geology Program,
Substrate was classified from multibeam sonar using the method of Cochrane (2008) for this study. Seafloor character derived from multibeam sonar data is available for the mainland coast within the study area from the California State Waters Mapping Program (Johnson and others, 2012; Johnson and others 2013a; Johnson and others 2013b; Johnson and others 2013c). The number of substrate classes was reduced because rugosity could not be derived for all areas due to the lack of bathymetry data for other data sets used in the study. References Cited: Cochrane, G.R., 2008, Video-supervised classification of sonar data for mapping seafloor habitat, in Reynolds, J.R., and Greene, H.G., eds., Marine habitat mapping...
This seafloor-character raster is part of a data release of the Oregon outer continental shelf (OCS) proposed wind farm map site. The substrate classes mapped in this area have been numbered to indicate combinations of seafloor hardness and ruggedness. The map was created from multibeam echosounder (MBES) bathymetry and backscattter data collected in 2014 and processed in 2015 (Cochrane and others, 2016) and a video supervised classification method described by Cochrane (2008). Cochrane, G.R., 2008, Video-supervised classification of sonar data for mapping seafloor habitat, in Reynolds, J.R., and Greene, H.G., eds., Marine habitat mapping technology for Alaska: Fairbanks, University of Alaska, Alaska Sea Grant...
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: BOEM,
Bureau of Ocean Energy Management,
CMGP,
Coastal and Marine Geology Program,
Coos Bay,
Substrate was classified using the method of Cochrane and Lafferty (2002) for this study. Seafloor character derived from towed sidescan sonar data is available for the mainland coast within the study area from USGS online publications (Cochrane and others, 2003; Cochrane and others, 2005). The number of substrate classes was reduced because rugosity could not be derived for all areas due to the lack of bathymetry data for other data sets used in the study. References Cited: Cochrane, G.R., Nasby, N.M., Reid, J.A., Waltenberger, B., Lee, K.M., 2003, Nearshore Benthic Habitat GIS for the Channel Islands National Marine Sanctuary and Southern California State Fisheries Reserves Volume 1: U.S. Geological Survey Open-File...
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