This part of DS 781 presents data for the Seafloor character map of the Offshore of Gaviota map area, California. The vector data file is included in "SeafloorCharacter_OffshoreGaviota.zip," which is accessible from https://doi.org/10.5066/F7TH8JWJ
. These data accompany the pamphlet and map sheets of Johnson, S.Y., Dartnell, P., Cochrane, G.R., Hartwell, S.R., Golden, N.E., Kvitek, R.G., and Davenport, C.W. (S.Y. Johnson and S.A. Cochran, eds.), 2018, California State Waters Map Series-Offshore of Gaviota, California: U.S. Geological Survey Open-File Report 2018-1023, pamphlet 41 p., 9 sheets, scale 1:24,000, https://doi.org/10.3133/ofr20181023
This raster-format seafloor-character map shows five substrate classes in the Offshore of Gaviota map area, California. The substrate classes mapped in this area have been colored to indicate which of the following California Marine Life Protection Act depth zones and the Coastal and Marine Ecological Classification Standard (CMECS) slope classes they belong: Depth Zone 2 (intertidal to 30 m), Depth Zone 3 (30 to 100 m), Depth Zone 4 (100 to 200 m), Slope Class 1 (0 degrees - 5 degrees; flat), and Slope Class 2 (5 degrees - 30 degrees; sloping). Depth Zone 1 (intertidal), Depth Zone 5 (greater than 200 m), and Slope Classes 3 and 4 (greater than 30 degrees) are not present in this map area. The map is created using a supervised classification method described by Cochrane (2008), using multibeam echosounder (MBES) bathymetry and backscatter data collected and processed between 1998 and 2014.
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 College Program, p. 185-194, available at http://doc.nprb.org/web/research/research%20pubs/615_habitat_mapping_workshop/Individual%20Chapters%20High-Res/Ch13%20Cochrane.pdf
These data are intended for science researchers, students, policy makers, and the general public. These data can be used with geographic information systems or other software to identify local seafloor character.