CMECS substrate, geoform, and biotic component polygons derived from multibeam echosounder data and underwater video observations collected offshore of south-central California in support of the Bureau of Ocean Energy Management Cal DIG I, offshore alternative energy project

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Frequently anticipated questions:


What does this data set describe?

Title:
CMECS substrate, geoform, and biotic component polygons derived from multibeam echosounder data and underwater video observations collected offshore of south-central California in support of the Bureau of Ocean Energy Management Cal DIG I, offshore alternative energy project
Abstract:
These metadata describe Coastal and Marine Ecological Classification Standard (CMECS; Federal Geographic Data Committee, 2012) attributed polygons derived from multibeam echosounder acoustic bathymetry and backscatter intensity data, and from underwater video collected offshore of Morro Bay, California from 2016 to 2020. The polygons have CMECS substrate, geoform and biotic component attributes. Most of the data were collected in support of the U.S. Geological Survey (USGS)/Bureau of Ocean Energy Management (BOEM) California Deepwater Investigations and Groundtruthing I (Cal DIG I) project through collaborations with the National Oceanic and Atmospheric Administration (NOAA) and the Monterey Bay Aquarium Research Institute (MBARI).
Supplemental_Information:
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=2018-641-FA https://cmgds.marine.usgs.gov/fan_info.php?fan=2019-642-FA
These data were collected for the U.S. Geological Survey (USGS)/Bureau of Ocean Energy Management (BOEM) California Deepwater Investigations and Groundtruthing I (Cal DIG I) project (Interagency Agreement M17PG00021).
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.
  1. How might this data set be cited?
    Cochrane, Guy R., Kuhnz, Linda A., Dartnell, Peter, Gilbane, Lisa, and Walton, Maureen A., 20220108, CMECS substrate, geoform, and biotic component polygons derived from multibeam echosounder data and underwater video observations collected offshore of south-central California in support of the Bureau of Ocean Energy Management Cal DIG I, offshore alternative energy project: data release DOI:10.5066/P9QQZ27U, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, CA.

    Online Links:

    This is part of the following larger work.

    Cochrane, Guy R., Kuhnz, Linda A., Dartnell, Peter, Gilbane, Lisa, and Walton, Maureen A., 2022, Multibeam echosounder, video observation, and derived benthic habitat data offshore of south-central California in support of the Bureau of Ocean Energy Management Cal DIG I, offshore alternative energy project: data release DOI:10.5066/P9QQZ27U, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, CA.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -122.000031
    East_Bounding_Coordinate: -120.789226
    North_Bounding_Coordinate: 35.896673
    South_Bounding_Coordinate: 34.522442
  3. What does it look like?
    Cal_DIG_I_CMECS.jpeg (JPEG)
    Quick view of Cal DIG I CMECS biotopes
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 2016
    Ending_Date: 2020
    Currentness_Reference:
    ground condition at time data were collected.
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: polygon shapefile
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a vector data set. It contains the following vector data types (SDTS terminology):
      • Area point (280,397)
    2. What coordinate system is used to represent geographic features?
      Horizontal positions are specified in geographic coordinates, that is, latitude and longitude. Latitudes are given to the nearest 0.00001. Longitudes are given to the nearest 0.00001. Latitude and longitude values are specified in Decimal degrees. The horizontal datum used is North American Datum of 1983.
      The ellipsoid used is GRS80.
      The semi-major axis of the ellipsoid used is 6378137.
      The flattening of the ellipsoid used is 1/298.257222101.
  7. How does the data set describe geographic features?
    Cal DIG I CMECS Shapefile
    Shapefile consisting of polygons classified into Coastal and Marine Ecological Classification Standard (CMECS) biotopes (Source: Producer defined.)
    Geoform
    CMECS geoform code (Source: Coastal and Marine Ecological Classification Standard (CMECS))
    Formal codeset
    Codeset Name:Coastal and Marine Ecological Classification Standard (CMECS)
    Codeset Source:Federal Geographic Data Committee
    Substrate
    CMECS substrate class code (Source: Coastal and Marine Ecological Classification Standard (CMECS))
    Formal codeset
    Codeset Name:Coastal and Marine Ecological Classification Standard (CMECS)
    Codeset Source:Federal Geographic Data Committee
    Modifier
    CMECS modifier code (Source: Coastal and Marine Ecological Classification Standard (CMECS))
    Formal codeset
    Codeset Name:Coastal and Marine Ecological Classification Standard (CMECS)
    Codeset Source:Federal Geographic Data Committee
    GeofrmDesc
    CMECS description of geoform (Source: Coastal and Marine Ecological Classification Standard (CMECS))
    Formal codeset
    Codeset Name:Coastal and Marine Ecological Classification Standard (CMECS)
    Codeset Source:Federal Geographic Data Committee
    SubstrDesc
    CMECS description of substrate class (Source: Coastal and Marine Ecological Classification Standard (CMECS))
    Formal codeset
    Codeset Name:Coastal and Marine Ecological Classification Standard (CMECS)
    Codeset Source:Federal Geographic Data Committee
    ModfrDesc
    description of modifiers (Source: Coastal and Marine Ecological Classification Standard (CMECS))
    Formal codeset
    Codeset Name:Coastal and Marine Ecological Classification Standard (CMECS)
    Codeset Source:Federal Geographic Data Committee
    BioticGrp
    CMECS biotic group code; some points did not have physical habitats that correlated to a biotic group and were not assigned a value (Source: Coastal and Marine Ecological Classification Standard (CMECS))
    Formal codeset
    Codeset Name:Coastal and Marine Ecological Classification Standard (CMECS)
    Codeset Source:Federal Geographic Data Committee
    BtcGrpDesc
    Biotic group description; some points did not have physical habitats that correlated to a biotic group and were not assigned a value (Source: Kuhnz and others 2021)
    Formal codeset
    Codeset Name:none
    Codeset Source:Kuhnz and others 2021
    BtcGrpNum
    Biotope assigned to video observation (Source: Linda Kuhnz)
    ValueDefinition
    1biotope 1
    2biotope 2
    3biotope 3
    4biotope 4
    5biotope 5
    6biotope 6
    7biotope 7
    8biotope 8
    9biotope 9
    10biotope 10
    11biotope 11
    12biotope 12
    13biotope 13
    14biotope 14
    15biotope 15
    16biotope 16
    17biotope 17
    18biotope 18
    0no biotope assigned
    Area
    surface area of polygon (Source: Esri)
    Range of values
    Minimum:64.0380858924
    Maximum:1512652524.93
    Units:Square meters
    Resolution:1e-17
    Entity_and_Attribute_Overview:
    There are 297 unique combinations of variables resulting in 280,397 CMECS polygons in the shapefile. These polygons are grouped into 22 geoforms, 6 substrate types, 28 modifier groups, and 16 biotopes.
    Entity_and_Attribute_Detail_Citation:
    Federal Geographic Data Committee, Marine and Coastal Spatial Data Subcommittee, 2012, Coastal and Marine Ecological Classification Standard: FGDC, 343 p., accessed March 10, 2021, at https://www.fgdc.gov/standards/projects/cmecs-folder/CMECS_Version_06-2012_FINAL.pdf

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Guy R. Cochrane
    • Linda A. Kuhnz
    • Peter Dartnell
    • Lisa Gilbane
    • Maureen A. Walton
  2. Who also contributed to the data set?
  3. To whom should users address questions about the data?
    U.S. Geological Survey, Pacific Coastal and Marine Science Center
    Attn: PCMSC Science Data Coordinator
    2885 Mission Street
    Santa Cruz, CA

    831-427-4747 (voice)
    pcmsc_data@usgs.gov

Why was the data set created?

This project was conducted to map surficial geology and benthic habitat as part of the USGS/BOEM Interagency Agreement M17PG0021 titled California Deepwater Investigations and Ground-truthing I (Cal DIG I). These data are intended to provide regional surficial geology and benthic habitat information in an area of interest for offshore wind energy development. These data are also intended for science researchers, students, policy makers, and the public. These data can be used in GIS and statistical analysis projects, or other software to spatially identify geomorphologic biota, surficial lithology, and biotopes in the study area. Field activities were augmented through the Expanding Pacific Research and Exploration of Submerged Systems (EXPRESS) collaboration (https://www.usgs.gov/centers/pcmsc/science/express-expanding-pacific-research-and-exploration-submerged-systems?qt-science_center_objects=0#qt-science_center_objects).

How was the data set created?

  1. From what previous works were the data drawn?
    Kuhnz and others 2021 (source 1 of 1)
    Kuhnz, Linda A., Gilbane, Lisa, Cochrane, Guy R., and Paull, Charles K., 2021, California Deepwater Investigations and Groundtruthing (Cal DIG) I, Volume 1: Biological site characterization offshore Morro Bay: Bureau of Ocean Energy Management, online.

    Online Links:

    Other_Citation_Details:
    Kuhnz, L.A., Gilbane, L. Cochrane, G.R., and Paull, C.K., 2021, California Deepwater Investigations and Groundtruthing (Cal DIG) I, Volume 1: Biological site characterization offshore Morro Bay: U.S. Department of the Interior, Bureau of Ocean Energy Management, Pacific OCS Region, OCS Study, BOEM 2021-037, 72 p.
    Type_of_Source_Media: report
    Source_Contribution:
    Report describes methodology used to collect, observe seafloor physical habitats and characteristics, and annotate underwater video
  2. How were the data generated, processed, and modified?
    Date: 30-Nov-2020 (process 1 of 1)
    Underwater video was collected and annotated, and multibeam echosounder (MBES) data were classified into Coastal and Marine Ecological Classification Standard (CMECS) biotope classes as described in the sourced report. Person who carried out this activity:
    Linda Kuhnz
    Monterey Bay Aquarium Research Institute (MBARI)
    Biologist
    7700 Sandholdt Road
    Moss Landing, CA

    831-775-1700 (voice)
    831-775-1620 (FAX)
    linda@mbari.org
    Data sources used in this process:
    • Kuhnz and others 2021
  3. What similar or related data should the user be aware of?

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
    The attributes found in this dataset are from the Coastal and Marine Ecological Classification Standard (CMECS). The attribute values were derived from numerical classification of derivatives of multibeam echosounder (MBES) bathymetry and backscatter intensity data. Derivatives of the bathymetry data include slope and bathymetry position index. The accuracy of these characteristics of the seafloor are dependent wholly on the vertical position accuracy of the MBES bathymetry. In general, the vertical accuracy of the Simrad EM710 MBES is on the order of decimeters. In this case noise in the data did create false slope and curvature in the data that cannot be quantified but appears to be on the order of meters. Video observations of seafloor substrate were used to supervise the numerical classification of backscatter intensity data (and bathymetry derivatives) into substrate type. Accuracy of the substrate is good near video transects and diminishes as a function of distance from video ground-truth information. This accuracy cannot be quantified. The substrate attribute values should be considered geologic interpretations by the user.
  2. How accurate are the geographic locations?
    Hydrographic survey vessels outfitted with an Applanix POS-MV position and motion compensation system have a post-processed horizontal positional accuracy of about 0.1 m and roll and pitch accuracies of about 0.02 degrees (https://www.applanix.com/downloads/products/specs/posmv/POS-MV-WaveMaster-II.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.
  3. How accurate are the heights or depths?
    Polygons were assigned a depth class based on bathymetry data acquired for this study. The hydrographic surveys used for this dataset absolute difference statistics of the junctions between crossing lines show that 95 percentof soundings have a deviation of 1.3 meters or less. The vertical accuracy is not defined. https://data.ngdc.noaa.gov/platforms/ocean/nos/coast/H12001-H14000/H13151/DR/H13151_DR.pdf
  4. Where are the gaps in the data? What is missing?
    Some polygons in this data set have null attribute values when the attribute value could not be ascertained from the data.
  5. How consistent are the relationships among the observations, including topology?
    Polygons do not overlap. Voids in the multibeam echosounder data were filled prior to numerical classification. No additional checks for consistency were performed on this data.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
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 and the Bureau of Ocean Energy Management as the originator(s) of the dataset and in products derived from these data.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey - CMGDS
    2885 Mission Street
    Santa Cruz, CA

    831-427-4747 (voice)
    pcmsc_data@usgs.gov
  2. What's the catalog number I need to order this data set? These data are available in shapefile format (Cal_DIG_I_CMECS.shp and associated files) contained in a single zip file (Cal_DIG_I_CMECS.zip), accompanied by CSDGM FGDC-compliant metadata.
  3. What legal disclaimers am I supposed to read?
    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.
  4. How can I download or order the data?
    • Availability in digital form:
      Data format: Zip file contains the polygons shapefile in format shapefile (version ArcGIS 10.7.1) Esri polygon shapefile Size: 35.8
      Network links: https://doi.org/10.5066/P9QQZ27U
    • Cost to order the data: None.

  5. What hardware or software do I need in order to use the data set?
    These data can be viewed with GIS software.

Who wrote the metadata?

Dates:
Last modified: 26-Jan-2022
Metadata author:
U.S. Geological Survey, Pacific Coastal and Marine Science Center
Attn: PCMSC Science Data Coordinator
2885 Mission Street
Santa Cruz, CA

831-427-4747 (voice)
pcmsc_data@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)

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