Seafloor character offshore of the Eel River, California

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Guy R. Cochrane
Publication_Date: 20230930
Title: Seafloor character offshore of the Eel River, California
Geospatial_Data_Presentation_Form: GeoTIFF
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P902YIF5
Publication_Information:
Publication_Place:
Pacific Coastal and Marine Science Center, Santa Cruz, California
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/P902YIF5
Larger_Work_Citation:
Citation_Information:
Originator: Guy R. Cochrane
Publication_Date: 2023
Title:
Bathymetry, backscatter intensity, and benthic habitat offshore of the Eel River, California
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P902YIF5
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Suggested Citation: Cochrane, G.R., 2023, Bathymetry, backscatter intensity, and benthic habitat offshore of the Eel River, California: U.S. Geological Survey data release, https://doi.org/10.5066/P902YIF5.
Online_Linkage: https://doi.org/10.5066/P902YIF5
Description:
Abstract:
Seafloor character, a combination of seafloor induration (surface hardness) and rugosity, was derived from multibeam echosounder (MBES) and annotated underwater video data collected offshore of the Eel River, California. The MBES and underwater video data were collected in support of the U.S. Geological Survey (USGS) California Seafloor Mapping Program, under a collaboration with the California State University Monterey Bay Seafloor Mapping Lab, the California Ocean Protection Council, and the National Oceanic and Atmospheric Administration (NOAA). Substrate observations from the underwater video were translated into Coastal and Marine Ecological Classification Standard (CMECS; Federal Geographic Data Committee, 2012) induration classes to use as training for a supervised numerical classification of the MBES data. The seafloor character raster is provided as a 2-meter resolution GeoTIFF.
Purpose:
This raster is used for resource management as a first cut substrate model as described by Cochrane (2008). The raster was also used as a GIS layer in the analysis and classification of the study area into CMECS habitat polygons. These data are intended to provide regional surficial geology and benthic habitat information in an area of interest for offshore wind energy development, as well as ecosystem management. These data are also intended for science researchers, students, policy makers, and the public. These data can be used with geographic information systems or other software to help identify geomorphologic features and surficial lithology. These data are not intended to be used for navigation.
Supplemental_Information:
Additional information about the USGS field activity from which some of these data were derived is available online at:
https://cmgds.marine.usgs.gov/fan_info.php?fan=C109NC https://cmgds.marine.usgs.gov/fan_info.php?fan=C210NC
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.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2010
Currentness_Reference: ground condition at time MBES and video data were collected
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -124.460418
East_Bounding_Coordinate: -124.245087
North_Bounding_Coordinate: 40.69593
South_Bounding_Coordinate: 40.536667
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:3b8c4713-5034-4e10-b4a7-9eeaf2a5b428
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: geoscientificInformation
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: sea-floor characteristics
Theme_Keyword: sea-floor acoustic reflectivity
Theme_Keyword: geospatial datasets
Theme_Keyword: marine geophysics
Theme_Keyword: multibeam sonar
Theme_Keyword: image mosaics
Theme:
Theme_Keyword_Thesaurus: Data Categories for Marine Planning
Theme_Keyword: Distributions
Theme_Keyword: Physical Habitats and Geomorphology
Theme_Keyword: Wind Energy Production
Theme_Keyword: Physical Habitats and Geomorphology
Theme_Keyword: Substrate
Theme:
Theme_Keyword_Thesaurus: Marine Realms Information Bank (MRIB) keywords
Theme_Keyword: seabed
Theme_Keyword: field observation
Theme:
Theme_Keyword_Thesaurus: none
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword: Coastal and Marine Hazards and Resources Program
Theme_Keyword: CMHRP
Theme_Keyword: Pacific Coastal and Marine Science Center
Theme_Keyword: PCMSC
Theme_Keyword: Expanding Pacific Research and Exploration of Submerged Systems
Theme_Keyword: EXPRESS
Place:
Place_Keyword_Thesaurus: Geographic Names Information System (GNIS)
Place_Keyword: State of California
Place_Keyword: Eel River
Place_Keyword: Humboldt County
Access_Constraints: None
Use_Constraints:
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 and acknowledge the U.S. Geological Survey as the originator of the dataset and in products derived from these data. This information is not intended for navigation purposes.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
U.S. Geological Survey, Pacific Coastal and Marine Science Center
Contact_Person: PCMSC Science Data Coordinator
Contact_Address:
Address_Type: mailing and physical
Address: 2885 Mission Street
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Contact_Voice_Telephone: 831-427-4747
Contact_Electronic_Mail_Address: pcmsc_data@usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name: SeafloorCharacter_OffshoreEelRiver.jpg
Browse_Graphic_File_Description:
Preview image of Seafloor Character data offshore of the Eel River
Browse_Graphic_File_Type: JPEG
Native_Data_Set_Environment: ArcGIS ver. 10.8.2 on a Windows 10 computer.
Cross_Reference:
Citation_Information:
Originator: Jane A. Reid
Originator: Jamey M. Reid
Originator: Chris J. Jenkins
Originator: Mark Zimmermann
Originator: S. Jeffress Williams
Originator: Michael E. Field
Publication_Date: 2019
Title:
usSEABED: Pacific Coast (California, Oregon, Washington) Offshore Surficial-Sediment Data Release, version 1
Geospatial_Data_Presentation_Form: database
Series_Information:
Series_Name: Data Series
Issue_Identification: DS 182
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Reid, Jane.A., Jamey M. Reid, Chris J. Jenkins, Mark Zimmermann, S. Jeffress Williams, Michael E. Field, 2006, U.S. Geological Survey Data Series, number 182.
Online_Linkage: https://doi.org/10.3133/ds182
Cross_Reference:
Citation_Information:
Originator: Nadine Golden
Publication_Date: 2019
Title: California State Waters Map Series Data Catalog
Geospatial_Data_Presentation_Form: database
Series_Information:
Series_Name: Data Series
Issue_Identification: DS 781
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Golden, N.E., compiler, 2019, California State Waters Map Series Data Catalog, https://doi.org/10.3133/ds781
Online_Linkage: https://doi.org/10.3133/ds781
Cross_Reference:
Citation_Information:
Originator: Guy R. Cochrane
Publication_Date: 2008
Title:
Video-supervised classification of sonar data for mapping seafloor habitat
Other_Citation_Details:
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.
Online_Linkage: https://seagrant.uaf.edu/lib/aksg/0803/mhmta-cochrane.pdf
Cross_Reference:
Citation_Information:
Originator: Federal Geographic Data Committee
Publication_Date: 2012
Title: Coastal and Marine Ecological Classification Standard
Other_Citation_Details:
Federal Geographic Data Committee, 2012, Coastal and Marine Ecological Classification Standard, 343 p.
Online_Linkage:
Cross_Reference:
Citation_Information:
Originator: Tara J. Anderson
Originator: Guy R. Cochrane
Originator: Dale A. Roberts
Originator: Hank Chezar
Originator: Gerry Hatcher
Publication_Date: 2007
Title:
A rapid method to characterize seabed habitats and associated macro-organisms
Other_Citation_Details:
Anderson, T.J., Cochrane, G.R., Roberts, D.A., Chezar, H., and Hatcher, G., 2007, A rapid method to characterize seabed habitats and associated macro-organisms, in Todd, B.J., and Greene, H.G., eds., Mapping the seafloor for habitat characterization: Geological Association of Canada Special Paper 47, p. 71-79.
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
A small number of observations of seafloor character from the video data were used to supervise the classification of the MBES data. All the video observations were subsequently used to assess the accuracy of the predicted character values. Additional observations of substrate were obtained from usSEABED (Reid and others, 2009). Two types of accuracy were calculated for the raster using a 10-meter radius circular buffer around each observation point (shown on the overview figure) in the study area. Presence accuracy is the number of observations where the buffer around the observation had at least one predicted value that matched the observed value. Majority accuracy is the percentage of observations where the largest number of predicted pixels in the buffer matched the observed value. There were 29 observations in the study area. All the observations were in the soft-flat class so there is no accuracy value for the other two classes. For soft-flat class the presence accuracy was 100 percent and the majority accuracy was 100 percent.
Logical_Consistency_Report: No formal logical accuracy tests were conducted.
Completeness_Report:
Dataset is considered complete for the area mapped with MBES data.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
The POS MV position and motion compensation system used when collecting the MBES data has a horizontal positional accuracy of about 0.5 m with DGPS corrections and roll and pitch accuracies of about 0.02 degrees (http://www.measutronics.com/wp-content/uploads/2011/01/posmv320_specifications.pdf). Accuracies of final products may be lower due to water depth and total propagated uncertainties of the mapping systems, which include sonar system, position and motion compensation system, and navigation, as well as data processing that includes sounding cleaning, gridding, and datum transformations.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: California State University, Monterey Bay, Seafloor Mapping Lab
Publication_Date: 2008
Title:
Southern California 2008 CSMP surveys: California State University, Monterey Bay, Seafloor Mapping Lab Data Library
Publication_Information:
Publication_Place: online
Publisher: U.S. Geological Survey
Online_Linkage: http://seafloor.otterlabs.org/SFMLwebDATA_SURVEYMAP.htm
Type_of_Source_Media: online database and viewer
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2008
Source_Currentness_Reference:
ground condition at time offshore the Eel River MBES data were acquired
Source_Citation_Abbreviation: CSUMB Seafloor mapping lab library
Source_Contribution: MBES data is classified into seafloor character data
Source_Information:
Source_Citation:
Citation_Information:
Originator: Nadine E. Golden
Originator: Seth D. Ackerman
Originator: Evan T. Dailey
Publication_Date: 2015
Title: Coastal and Marine Geology Program video and photograph portal
Publication_Information:
Publication_Place: online
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/F7JH3J7N
Type_of_Source_Media: online database and viewer
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20120809
Ending_Date: 20120831
Source_Currentness_Reference:
ground condition at time offshore the Eel River video footage was collected
Source_Citation_Abbreviation: USGS Marine video portal
Source_Contribution:
underwater video was used to help train and classify habitat maps
Process_Step:
Process_Description:
Bathymetry and backscatter data were collected by Fugro Pelagos in 2008, using a combination of 400-kHz Reson 7125, 240-kHz Reson 8101, and 100-kHz Reson 8111 multibeam echosounders. An Applanix POS-MV (Position and Orientation System for Marine Vessels) was used to accurately position the vessels during data collection, and it also accounted for vessel motion such as heave, pitch, and roll, with navigational input from GPS receivers. Smoothed Best Estimated Trajectory (SBET) files were postprocessed from logged POS-MV files. Sound-velocity profiles were collected with an Applied Microsystems (AM) SVPlus sound velocimeter. Soundings were corrected for vessel motion using the Applanix POS-MV data, for variations in water-column sound velocity using the AM SVPlus data, and for variations in water height (tides) and heave using the postprocessed SBET data (California State University, Monterey Bay, Seafloor Mapping Lab, 2016). The Reson backscatter data were postprocessed using Geocoder software. The backscatter intensities were radiometrically corrected (including despeckling and angle-varying gain adjustments), and the position of each acoustic sample was geometrically corrected for slant range on a line-by-line basis. After the lines were corrected, they were mosaicked into 0.5-m resolution images (California State University, Monterey Bay, Seafloor Mapping Lab, 2016).
Source_Used_Citation_Abbreviation: CSUMB Seafloor mapping lab library
Process_Date: 2010
Process_Step:
Process_Description:
Substrate observations used to supervise the classification of the MBES data were derived from underwater video collected by the USGS in 2012. A USGS camera sled was used that housed two standard-definition video cameras (one forward looking and one downward looking), as well as a high-definition (1,080 x 1,920-pixel resolution) video camera and an 8-megapixel digital still camera. The camera sled was towed 1 to 2 m over the seafloor at speeds of between 1 and 2 nautical miles/hour. While the camera is deployed, several different observations are recorded for a 10-second period once every minute, using the protocol of Anderson and others (2007). Observations of primary substrate, secondary substrate, slope, abiotic complexity, biotic complexity, and biotic cover are mandatory observations every minute. Observations of key geologic features and the presence of key species also are made when observed. A digital still photograph was captured once every 30 seconds. Additional observations of substrate were obtained from usSEABED (Reid and others, 2009).
Process_Date: 2012
Process_Step:
Process_Description:
The CSUMB 0.5-m-resolution backscatter images were mosaiced and clipped to the study area boundary. The backscatter mosaics were decimated to 2-m resolution georeferenced TIFF images using the 2m bathymetry as a snap grid. A vector ruggedness raster derived from the bathymetry data and a backscatter-intensity raster were used in the seafloor characterization in an ArcGIS Geographic Information Systems (GIS) project. Seafloor character was classified in ArcGIS using the Maximum Likelihood Classification tool. Observations of substrate from the seafloor video were used to supervise the classification as described in Cochrane (2008). The seafloor character grids are available in a GeoTIFF file.
Process_Date: 2023
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid Cell
Row_Count: 8981
Column_Count: 8972
Vertical_Count: 1
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:
UTM_Zone_Number: 10
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: -123.00000
Latitude_of_Projection_Origin: 0.00000
False_Easting: 500000.0
False_Northing: 0.00
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 10.0
Ordinate_Resolution: 10.0
Planar_Distance_Units: Meters
Geodetic_Model:
Horizontal_Datum_Name: D_WGS_1984
Ellipsoid_Name: WGS_844
Semi-major_Axis: 6378137.00
Denominator_of_Flattening_Ratio: 298.257223563
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: value
Entity_Type_Definition: seafloor character class integer value
Entity_Type_Definition_Source: Producer defined
Attribute:
Attribute_Label: Value
Attribute_Definition: seafloor character class
Attribute_Definition_Source: Cochrane (2008)
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 1
Enumerated_Domain_Value_Definition: soft and flat fine grain sedimented seafloor
Enumerated_Domain_Value_Definition_Source: Cochrane (2008)
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 2
Enumerated_Domain_Value_Definition: hard and flat coarse grain sediment and bedrock seafloor
Enumerated_Domain_Value_Definition_Source: Cochrane (2008)
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 3
Enumerated_Domain_Value_Definition: hard and rugose boulder, megaclast, and bedrock seafloor
Enumerated_Domain_Value_Definition_Source: Cochrane (2008)
Attribute:
Attribute_Label: count
Attribute_Definition: number of pixels assigned to class
Attribute_Definition_Source: none
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 20504
Range_Domain_Maximum: 24553056
Attribute_Units_of_Measure: none
Overview_Description:
Entity_and_Attribute_Overview:
The complete 2-m resolution Offshore the Eel River seafloor character grid is a GeoTIFF image with integer values representing induration and rugosity classes: 1 for soft and flat bottom, 2 for hard and flat bottom, and 3 for hard and rugose bottom.
Entity_and_Attribute_Detail_Citation: Cochrane, 2008
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey - CMGDS
Contact_Address:
Address_Type: Mailing and Physical
Address: 2885 Mission Street
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Contact_Voice_Telephone: 831-427-4747
Contact_Electronic_Mail_Address: pcmsc_data@usgs.gov
Resource_Description:
These data are available in GeoTIFF format (SeafloorCharacter_OffshoreEelRiver.tif), along with a tif world file (.tfw).
Distribution_Liability:
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.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: GeoTIFF
Format_Version_Number: ArcMap (version 10.8.2)
Format_Information_Content:
These data are available in GeoTIFF format, along with a tif world file (.tfw).
File_Decompression_Technique: Windows 10 Zip
Transfer_Size: 0.19
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.5066/P902YIF5
Network_Resource_Name: https://doi.org/10.3133/ds781
Access_Instructions:
The seafloor character raster data can be downloaded by going to the first Network_Resource_Name link, then scrolling down to the Habitat Data section. The second link points to a landing page for the entire California State Waters Map Series Data Catalog.
Fees: None.
Technical_Prerequisites:
The downloadable data file has been compressed with the Windows 10 "zip" command and can be unzipped using Windows File Explorer, or with Winzip (or other compression tools). To utilize these data, the user must have software capable of viewing a GeoTIFF file.
Metadata_Reference_Information:
Metadata_Date: 20230930
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
U.S. Geological Survey, Pacific Coastal and Marine Science Center
Contact_Person: PCMSC Science Data Coordinator
Contact_Address:
Address_Type: mailing and physical
Address: 2885 Mission Street
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Contact_Voice_Telephone: 831-427-4747
Contact_Electronic_Mail_Address: pcmsc_data@usgs.gov
Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998

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