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: https://www.fgdc.gov/standards/projects/cmecs-folder/CMECS_Version_06-2012_FINAL.pdf 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