Backscatter B: Offshore of Coal Oil Point, California, 2007

Description:

This layer is a georeferenced raster image containing acoustic-backscatter data for the offshore area of Coal Oil Point, California. The acoustic-backscatter map of the area was generated from data collected by California State University, Monterey Bay, Seafloor Mapping Lab (CSUMB), by the U.S. Geological Survey (USGS) and by Fugro Pelagos. Most of the nearshore and shelf areas in the Offshore of Coal Oil Point map area were mapped by the USGS in the summers of 2006, 2007, and 2008, using a combination of 117-kHz and 234.5-kHz SEA (AP) Ltd. SWATHplus-M phase-differencing sidescan sonars. Within the acoustic-backscatter imagery, brighter tones indicate higher backscatter intensity, and darker tones indicate lower backscatter intensity. The intensity represents a complex interaction between the acoustic pulse and the seafloor, as well as characteristics within the shallow subsurface, providing a general indication of seafloor texture and sediment type. Backscatter intensity depends on the acoustic source level; the frequency used to image the seafloor; the grazing angle; the composition and character of the seafloor, including grain size, water content, bulk density, and seafloor roughness; and some biological cover. Harder and rougher bottom types such as rocky outcrops or coarse sediment typically return stronger intensities (high backscatter, lighter tones), whereas softer bottom types such as fine sediment return weaker intensities (low backscatter, darker tones). In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP) to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats and geology within the 3-nautical-mile limit of California's State Waters. CSMP has divided coastal California into 110 map blocks, each to be published individually as United States Geological Survey Open-File Reports (OFRs) or Scientific Investigations Maps (SIMs) at a scale of 1:24,000. Maps display seafloor morphology and character, identify potential marine benthic habitats and illustrate both the seafloor geology and shallow (to about 100 m) subsurface geology. Data layers for bathymetry, bathymetric contours, acoustic backscatter, seafloor character, potential benthic habitat and offshore geology were created for each map block, as well as regional-scale data layers for sediment thickness, depth to transition, transgressive contours, isopachs, predicted distributions of benthic macro-invertebrates and visual observations of benthic habitat from video cruises over the entire state. These data are intended for science researchers, students, policy makers, and the general public. This information is not intended for navigational purposes.The data can be used with geographic information systems (GIS) software to display geologic and oceanographic information. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

Resource Link:

https://purl.stanford.edu/gr286py1149

Identifier:

https://purl.stanford.edu/gr286py1149

Language:

eng

Creator:

Conrad, Jamie E., Finlayson, David P., Dartnell, Peter, Kvitek, Rikk G., Phillips, Eleyne L., Pacific Coastal and Marine Science Center, and Golden, Nadine E.

Publisher:

Geological Survey (U.S.)

Provider:

Stanford

Resource Class:

Datasets

Resource Type:

Raster data

Subject:

Coasts, Submarine topography, Submarine geology, Ocean bottom, Seismic reflection method, Imagery and Base Maps, Oceans, Environment, and Geoscientific Information

Theme:

Land cover, Imagery, Land Cover, Oceans, and Environment

Temporal Coverage:

2006-2007

Date Issued:

2014

Spatial Coverage:

California, Santa Barbara County (Calif.), and Pacific Ocean

Rights:

This item is in the public domain. There are no restrictions on use.

Rights Holder:

This work is in the Public Domain, meaning that it is not subject to copyright.

Access Rights:

Public

Format:

GeoTIFF

Georeferenced:

false