Charles A. Endris
H. Gary Greene
2014
Habitat--Offshore of Coal Oil Point, California
vector digital data
Data Series
DS 781
Reston, VA
U.S. Geological Survey
https://doi.org/10.3133/ds781
https://pubs.usgs.gov/ds/781/OffshoreCoalOilPoint/data_catalog_OffshoreCoalOilPoint.html
Nadine E. Golden
2013
California State Waters Map Series Data Catalog
database
Data Series
DS 781
Reston, VA
U.S. Geological Survey
https://doi.org/10.3133/ds781
This part of DS 781 presents the habitat map of the Offshore of Coal Oil Point map area, California. The vector data file is included in "Habitat_OffshoreCoalOilPoint.zip," which is accessible from https://pubs.usgs.gov/ds/781/OffshoreCoalOilPoint/data_catalog_OffshoreCoalOilPoint.html. These data accompany the pamphlet and map sheets of Johnson, S.Y., Dartnell, P., Cochrane, G.R., Golden, N.E., Phillips, E.L., Ritchie, A.C., Kvitek, R.G., Dieter, B.E., Conrad, J.E., Lorenson, T.D., Krigsman, L.M., Greene, H.G., Endris, C.A., Seitz, G.G., Finlayson, D.P., Sliter, R.W., Wong, F.L., Erdey, M.D., Gutierrez, C.I., Leifer, I., Yoklavich, M.M., Draut, A.E., Hart, P.E., Hostettler, F.D., Peters, K.E., Kvenvolden, K.A., Rosenbauer, R.J., and Fong, G. (S.Y. Johnson and S.A. Cochran, eds.), 2014, California State Waters Map Series—Offshore of Coal Oil Point, California: U.S. Geological Survey Scientific Investigations Map 3302, pamphlet 57 p., 12 sheets, scale 1:24,000, https://doi.org/10.3133/sim3302.
Potential marine benthic habitat maps were constructed using multibeam echosounder (MBES) bathymetry and backscatter data. The habitats were based on substrate types and documented or "ground truthed" using underwater video images and seafloor samples obtained by the USGS. These maps display various habitat types that range from flat, soft, unconsolidated sediment-covered seafloor to hard, deformed (folded), or highly rugose and differentially eroded bedrock exposures.
To expand habitat mapping to the seafloor within the California's State Waters and to contribute to a uniform regional database, which can be used with geographic information systems. Additionally, to provide a habitat map for the public and geoscience community to aid in assessments in the Offshore of Coal Oil Point coastal region and to provide information for land-use and land-management decisions both onshore and offshore. This information is not intended for navigational purposes.
Additional information about the USGS field activities from which some of these data were derived is available online at:
https://cmgds.marine.usgs.gov/fan_info.php?fan=Z206SC
https://cmgds.marine.usgs.gov/fan_info.php?fan=Z107SC
https://cmgds.marine.usgs.gov/fan_info.php?fan=Z808SC
https://cmgds.marine.usgs.gov/fan_info.php?fan=S1C08SC
https://cmgds.marine.usgs.gov/fan_info.php?fan=SW109SC
Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Although this Federal Geographic Data Committee-compliant metadata file is intended to document the data set in nonproprietary form, as well as in Esri format, this metadata file may include some Esri-specific terminology.
References Cited:
Greene, H.G., Bizzarro, J.J., O'Connell, V.M., and Brylinsky, C.K., 2007, Construction of digital potential marine benthic habitat maps using a coded classification scheme and its application, in Todd, B.J., and Greene, H.G., eds., Mapping the seafloor for habitat characterization: Geological Association of Canada Special Paper 47, p. 141-155.
Greene, H.G., Yoklavich, M.M., Starr, R.M., O'Connell, V.M., Wakefield, W.W., Sullivan, D.E., McRea, J.E., Jr., and Cailliet, G.M., 1999, A classification scheme for deep seafloor habitats: Oceanologica Acta, v. 22, no. 6, p. 663-678.
2006
2009
ground condition
none planned
-120.005596
-119.807395
34.461967
34.346709
USGS Metadata Identifier
USGS:93589065-2db4-4619-bea2-0b5b04c035ec
ISO 19115 Topic Category
geoscientificInformation
environment
oceans
imageryBaseMapsEarthCover
Data Categories for Marine Planning
distributions
physical habitats and geomorphology
habitat
Marine Realms Information Bank (MRIB) keywords
seabed
habitats
benthos
USGS Thesaurus
sea-floor characteristics
habitats
benthos
maps and atlases
geospatial datasets
None
U.S. Geological Survey
USGS
Coastal and Marine Hazards and Resources Program
CMHRP
Pacific Coastal and Marine Science Center
PCMSC
Coastal and Marine Ecological Classification Standard (CMECS)
Marine Nearshore Subtidal
Marine Offshore Subtidal
Transform Continental Margin
Bight
Borderland
Continental/Island Shelf
Rock Substrate
Unconsolidated Mineral Substrate
Geographic Names Information System (GNIS)
Pacific Ocean
State of California
Santa Barbara Channel
Santa Barbara County
Coal Oil Point
Goleta
Isla Vista
Coal Oil Point
Coastal and Marine Ecological Classification Standard (CMECS)
Southern California Bight Ecoregion
Coastal and Marine Ecological Classification Standard (CMECS)
Substrate
None
USGS-authored or produced data and information are in the public domain from the U.S. Government and are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey (USGS) and Center for Habitat Studies, Moss Landing Marine Laboratories as the originator(s) of the dataset and in products derived from these data. This information is not intended for navigation purposes.
U.S. Geological Survey, Pacific Coastal and Marine Science Center
PCMSC Science Data Coordinator
mailing and physical
2885 Mission Street
Santa Cruz
CA
95060-5792
US
831-427-4747
pcmsc_data@usgs.gov
https://pubs.usgs.gov/ds/781/OffshoreCoalOilPoint/images/Habitat_OffshoreCoalOilPoint.jpg
Benthic habitats in the Offshore of Coal Oil Point map area.
JPEG
Microsoft Windows Server 2008 R2 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcCatalog 10.0
Samuel Y. Johnson
Peter Dartnell
Guy R. Cochrane
Nadine E. Golden
Eleyne L. Phillips
Andrew C. Ritchie
Rikk G. Kvitek
Bryan E. Dieter
James E. Conrad
Thomas D. Lorenson
Lisa M. Krigsman
H. Gary Greene
Charles A. Endris
Gordon G. Seitz
David P. Finlayson
Ray W. Sliter
Florence L. Wong
Mercedes D. Erdey
Carlos I. Gutierrez
Ira Leifer
Mary M. Yoklavich
Amy E. East
Patrick E. Hart
Frances D. Hostettler
Kenneth E. Peters
Keith A. Kvenvolden
Robert J. Rosenbauer
Grace Fong
2014
California State Waters Map Series--Offshore of Coal Oil Point, California
pamphlet and map sheets
Scientific Investigations Map
SIM 3302
Reston, VA
U.S. Geological Survey
https://doi.org/10.3133/sim3302
Map elements were visually checked for overshoots, undershoots, duplicate features, and other errors by the lead authors and by the GIS technician(s) who created the digital database. Review drafts of the map were reviewed internally by at least two other geologists for consistency with basic geologic principles and general conformity to USGS mapping standards.
Data are complete: no offshore features that could be accurately identified and represented at the compilation scale of 1:24,000 were eliminated or generalized. The smallest area represented is approximately 100 square meters. All geospatial database elements are attributed.
Interpretation and polygon delineation of habitats performed at scales ranging from 1:2000 to 1:5000
Peter Dartnell
Eleyne Phillips
David Finlayson
James Conrad
Rikk Kvitek
2014
Bathymetry--Offshore of Coal Oil Point, California
raster digital data
Data Series
DS 781
Reston, VA
U.S. Geological Survey
See metadata ("Bathymetry_OffshoreCoalOilPoint_metadata.txt") in DS 781 for source data and postprocessing/reprocessing information.
https://pubs.usgs.gov/ds/781/OffshoreCoalOilPoint/data_catalog_OffshoreCoalOilPoint.html
digital file of gridded bathymetry data (ArcInfo GRID)
2006
2009
ground condition
bathymetry
Gridded bathymetry data (2-meter resolution).
Peter Dartnell
Eleyne Phillips
David Finlayson
James Conrad
Rikk Kvitek
2014
Acoustic Backscatter--Offshore of Coal Oil Point, California
raster digital data
Data Series
DS 781
Reston, VA
U.S. Geological Survey
See metadata for backscatter data ("BackscatterA_CSUMB_OffshoreCoalOilPoint_metadata.txt," "BackscatterB_USGS_OffshoreCoalOilPoint_metadata.txt," and "BackscatterC_Fugro_OffshoreCoalOilPoint_metadata.txt") in DS 781 for amplitude source data and postprocessing/reprocessing information.
https://pubs.usgs.gov/ds/781/OffshoreCoalOilPoint/data_catalog_OffshoreCoalOilPoint.html
digital file of gridded amplitude data (ArcInfo GRID)
2006
2007
ground condition
backscatter
Gridded amplitude data (2-m and 5-m resolution).
Eleyne Phillips
Guy R. Cochrane
Peter Dartnell
Lisa Krigsman
Nadine Golden
2008
S1C08SC_video_observations
Data Series
DS 781
Reston, VA
U.S. Geological Survey
See metadata for s1c08sc video observations ("s1c08sc_video_observations_metadata.txt") in DS 781 for source data and postprocessing/reprocessing information.
https://pubs.usgs.gov/ds/781/OffshoreCoalOilPoint/data_catalog_OffshoreCoalOilPoint.html
vector digital data
20080928
20081008
ground condition
s1c08sc
seafloor interpretations from underwater video and sediment samples
Eleyne Phillips
Guy R. Cochrane
Peter Dartnell
Lisa Krigsman
Nadine Golden
2008
Z2068SC_video_observations
Data Series
DS 781
Reston, VA
U.S. Geological Survey
See metadata for z206sc video observations ("z206sc_video_observations_metadata.txt") in DS 781 for source data and postprocessing/reprocessing information.
https://pubs.usgs.gov/ds/781/OffshoreCoalOilPoint/data_catalog_OffshoreCoalOilPoint.html
vector digital data
20060706
20060726
ground condition
z206sc
seafloor interpretations from underwater video and sediment samples
Eleyne Phillips
Guy R. Cochrane
Peter Dartnell
Lisa Krigsman
Nadine Golden
2009
SW109SC_video_observations
Data Series
DS 781
Reston, VA
U.S. Geological Survey
See metadata for sw109sc video observations ("sw109sc_video_observations_metadata.txt") in DS 781 for source data and postprocessing/reprocessing information.
https://pubs.usgs.gov/ds/781/OffshoreCoalOilPoint/data_catalog_OffshoreCoalOilPoint.html
vector digital data
20090810
20090821
ground condition
sw109sc
seafloor interpretations from underwater video and sediment samples
Eleyne Phillips
Guy R. Cochrane
Peter Dartnell
Lisa Krigsman
Nadine Golden
2008
Z107SC_video_observations
Data Series
DS 781
Reston, VA
U.S. Geological Survey
See metadata for z107sc video observations ("z107sc_video_observations_metadata.txt") in DS 781 for source data and postprocessing/reprocessing information.
https://pubs.usgs.gov/ds/781/OffshoreCoalOilPoint/data_catalog_OffshoreCoalOilPoint.html
vector digital data
20070626
20070715
ground condition
z107sc
seafloor interpretations from underwater video and sediment samples
Jane A. Reid
Jamey M. Reid
Chris J. Jenkins
Mark Zimmerman
S. Jeffress Williams
Michael E. Field
2006
usSEABED—Pacific Coast (California, Oregon, Washington) offshore surficial-sediment data release
Data Series
DS 182
Menlo Park, CA
U.S. Geological Survey
https://pubs.usgs.gov/ds/2006/182/
Esri project files, csv files
2006
publication date
sediment
seafloor sediment and rock samples used to interpret seafloor geology
Eleyne L. Phillips
Mercedes D. Erdey
Guy R. Cochrane
2014
Seafloor character, 2-m grid--Offshore of Coal Oil Point, California
GeoTiff
Data Series
DS 781
Reston, VA
U.S. Geological Survey
https://pubs.usgs.gov/ds/781/OffshoreCoalOilPoint/data_catalog_OffshoreCoalOilPoint.html
raster interpretation of seafloor character
2006
2009
ground condition
sfc2m
seafloor character used to interpret habitats
Eleyne L. Phillips
Mercedes D. Erdey
Guy R. Cochrane
2014
Seafloor character, 5-m grid--Offshore of Coal Oil Point, California
GeoTiff
Data Series
DS 781
Reston, VA
U.S. Geological Survey
https://pubs.usgs.gov/ds/781/OffshoreCoalOilPoint/data_catalog_OffshoreCoalOilPoint.html
raster interpretation of seafloor character
2006
2009
ground condition
sfc5m
seafloor character used to interpret habitats
James E. Conrad
Andrew C. Ritchie
Samuel Y. Johnson
2015
Geology--Offshore of Coal Oil Point, California
vector digital data
Data Series
DS 781
Reston, VA
U.S. Geological Survey
https://pubs.usgs.gov/ds/781/OffshoreCoalOilPoint/data_catalog_OffshoreCoalOilPoint.html
polygon shapefile of geologic map interpretations
2007
2007
ground condition
geology
geologic units used to interpret habitats
Data used for the creation of the potential marine benthic habitat interpretation consists of multibeam bathymetry, acoustic backscatter, sediment samples, camera-sled imagery, and existing geologic and seafloor interpretive maps. All data were compiled and displayed for interpretation using Esri ArcGIS software, ArcMap v.10.2. The process consists of editing a shapefile within ArcMap, beginning with the construction of polygons to delineate benthic features. A benthic feature is an area with common characteristics which can be characterized as a single potential habitat type. The boundaries and extents of these features were determined from the bathymetric data. In general, interpretations were made at scales between 1:2,000 and 1:5,000. The USGS kindly provided the Center for Habitat Studies with a geodatabase consisting of feature datasets delineating geologic features and attributes for offshore Coal Oil Point. Some of the delineated polygons were preserved as part of the potential marine benthic habitat characterization. However, the Greene and others (2007) code was used in attributing the dataset and additional polygons were added using the methods outlined below. High-resolution multibeam sonar data in the form of bathymetric depth grids (seafloor digital elevation models, referred to as the "bathymetry") were the primary data used in the interpretation of potential habitat types. Shaded-relief imagery ("hillshade") allows for visualization of the terrain and interpretation of submarine landforms. On the basis of these hillshades, areas of rock were identified by their often sharply defined edges and high relative relief; these may be contiguous outcrops, isolated parts of outcrop protruding through sediment cover (pinnacles), or isolated boulders. Although these types of features can be confidently characterized as exposed rock, it is not uncommon to find areas within or around the rocky feature that appear to be covered by a thin veneer of sediment. These areas are identified as "mixed" induration, containing both rock and sediment. Broad areas of the seafloor lacking sharp and angular characteristics are considered to be sediment. Sedimentary features may contain erosional or depositional characteristics recognizable in the bathymetry, such as dynamic bedforms (dunes or sand waves). General morphologic features such as scours, mounds, and depressions were also identified using the hillshade imagery. The combination of acoustic backscatter data and "ground truthed" sediment samples were used to delineate seafloor sediment types within areas identified as "soft (s)" induration. Initially, ground truth data, in the form of grab sample descriptions and average grain size measurements, were categorized into four grain-size categories: mud (m), muddy sand (s/m), sand (s), and sandy gravel (s/g). Backscatter data was then classified into four intensity categories (low, med, high, very high) that are assumed to correspond to relative grain sizes. The aim was to develop an intensity classification of the seafloor that correlated with the data collected from the sediment samples. Thus, the combination of remotely observed data (acoustic backscatter) and directly observed data (sediment grab samples) translates to higher confidence in our ability to interpret broad areas of the seafloor. Nonetheless, we caution against using our sediment type interpretations as anything more than "best-guess" because of the following issues: characterization of contiguous sediment bodies is a difficult procedure because even small areas can exhibit a wide spectrum of backscatter-intensity values that lack distinct boundaries; backscatter intensity can be affected by depth, vegetation, water column conditions, and seafloor relief; and directly observed sediment data, in the form of sediment samples, represents a very small area relative to remotely observed data, requiring broad areas of interpolation.
bathymetry
backscatter
sfc2m
sfc5m
geology
sediment
imagery
s1c08sc
sw109sc
z206sc
z107sc
2011
Added Distribution_Information section to metadata to facilitate data download.
20171005
U.S. Geological Survey
Alan O. Allwardt
Contractor -- Information Specialist
mailing and physical address
2885 Mission Street
Santa Cruz
CA
95060
831-460-7551
831-427-4748
aallwardt@usgs.gov
Keywords section of metadata optimized for discovery in USGS Coastal and Marine Geology Data Catalog.
20171005
U.S. Geological Survey
Alan O. Allwardt
Contractor -- Information Specialist
mailing and physical address
2885 Mission Street
Santa Cruz
CA
95060
831-460-7551
831-427-4748
aallwardt@usgs.gov
Added keywords from Coastal and Marine Ecological Classification Standard (CMECS) to metadata.
20180426
U.S. Geological Survey
Alan O. Allwardt
Contractor -- Information Specialist
mailing and physical address
2885 Mission Street
Santa Cruz
CA
95060
831-460-7551
831-427-4748
aallwardt@usgs.gov
Edited metadata to add keywords section with USGS persistent identifier as theme keyword. No data were changed.
20201019
U.S. Geological Survey
VeeAnn A. Cross
Marine Geologist
Mailing and Physical
384 Woods Hole Road
Woods Hole
MA
02543-1598
508-548-8700 x2251
508-457-2310
vatnipp@usgs.gov
Metadata was modified to bring up to current USGS PCMSC standards. USGS Thesaurus and keywords were added, information for accompanying Open-File Report added to Abstract and Cross Reference sections, Point of Contact and Metadata Contact information was updated, and Process Steps were refined. Information about the data available for download and different Network Resource Name links and details were given in the Standard Order Process section. Minor typos were corrected. No data information was changed. The metadata available from a harvester may supersede metadata bundled within a download file. Users are advised to compare the metadata dates to determine which metadata file is most recent.
20230316
Susan A Cochran
U.S. Geological Survey, Pacific Coastal and Marine Science Center
Geologist
mailing and physical address
2885 Mission Street
Santa Cruz
CA
95060-5792
USA
(831) 460-7545
scochran@usgs.gov
Vector
GT-polygon composed of chains
335
WGS 1984 UTM Zone 11N
0.9996
-117.0
0.0
500000.0
0.0
coordinate pair
0.0001
0.0001
Meter
D WGS 1984
WGS 1984
6378137.0
298.257223563
Habitat_OffshoreCoalOilPoint
Polygons representing habitat map units
This report
OBJECTID
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
ESRI
Coordinates defining the features.
Hab_Code
Habitat code
Center for Habitat Studies, Greene et al. 1999,2007
Names are in text form, maximum length: 20
Hab_Type
Habitat type
Center for Habitat Studies, Greene et al. 1999,2007
Names are in text form, maximum length: 50
Mega_ID
Megahabitat ID code
Center for Habitat Studies, Greene et al. 1999,2007
Names are in text form, maximum length: 10
Mega
Megahabitat description
Center for Habitat Studies, Greene et al. 1999,2007
Names are in text form, maximum length: 35
Ind_ID
Seafloor induration ID code
Center for Habitat Studies, Greene et al. 1999,2007
Names are in text form, maximum length: 15
Ind
Seafloor induration description
Center for Habitat Studies, Greene et al. 1999,2007
Names are in text form, maximum length: 35
Sed_ID
Sediment ID code
Center for Habitat Studies, Greene et al. 1999,2007
Names are in text form, maximum length: 15
Sed
Sediment description
Center for Habitat Studies, Greene et al. 1999,2007
Names are in text form, maximum length: 35
Mes_Mac_ID
Meso/Macro-habitat ID code
Center for Habitat Studies, Greene et al. 1999,2007
Names are in text form, maximum length: 35
Mes_Mac
Meso/Macro-habitat description
Center for Habitat Studies, Greene et al. 1999,2007
Names are in text form, maximum length: 50
Mod_ID
Habitat modifier ID code
Center for Habitat Studies, Greene et al. 1999,2007
Names are in text form, maximum length: 35
Mod
Habitat modifier description
Center for Habitat Studies, Greene et al. 1999,2007
Names are in text form, maximum length: 50
Hab_Desc
Description of the potential marine benthic habitat code
Center for Habitat Studies, Greene et al. 1999,2007
Names are in text form, maximum length: 250
area_m2
Polygon area in meters
ESRI Calculate Geometry (Area in square meters) tool
73.2491
99901600
Float values in square meters
U.S. Geological Survey
mailing and physical address
345 Middlefield Rd
Menlo Park
CA
94025-3561
USA
(650) 329-4309
The .zip file (https://pubs.usgs.gov/ds/781/OffshoreCoalOilPoint/data/Habitat_OffshoreCoalOilPoint.zip) includes the .aux, .dbf, .shp, .shx, .sbx, and .sbn files, as well as FGDC-compliant metadata for the habitat data layer of Offshore of Coal Oil Point, California, map area.
Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.
shapefile
ArcMap (version 10.0, ESRI, 2011)
Point, line, and polygon features are in shapefile format and are projected in UTM Zone 10 coordinates.
The .zip file includes the .aux, .dbf, .shp, .shx, .sbx, and .sbn files, as well as FGDC-compliant metadata for the habitat data layer of the Offshore of Coal Oil Point, California, map area.
WinZip
0.4
https://pubs.usgs.gov/ds/781/OffshoreCoalOilPoint/data/Habitat_OffshoreCoalOilPoint.zip
https://pubs.usgs.gov/ds/781/OffshoreCoalOilPoint/data_catalog_OffshoreCoalOilPoint.html
https://doi.org/10.3133/ds781
The first link will begin a direct download of the data. The second link is a landing page on which all of the downloadable data for a particular region are listed. The third link is a landing page for the entire data catalog.
none
20230316
U.S. Geological Survey, Pacific Coastal and Marine Science Center
PCMSC Science Data Coordinator
mailing and physical
2885 Mission Street
Santa Cruz
CA
95060-5792
US
831-427-4747
pcmsc_data@usgs.gov
Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time