Surface sediment grain diameter measurements from point counts of in situ seafloor images collected in the lower Columbia River, Washington and Oregon, 2021

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Frequently anticipated questions:

What does this data set describe?

Title:
Surface sediment grain diameter measurements from point counts of in situ seafloor images collected in the lower Columbia River, Washington and Oregon, 2021
Abstract:
This dataset contains surface sediment grain diameter measurements from in situ seafloor images collected in the lower Columbia River, Washington and Oregon, in 2021. Surface sediment grain diameters were derived from manual measurements (or "point counts") in a subset of images used to calibrate and validate an automated image processing algorithm to determine surface sediment grain size distributions. For each calibration and validation image that was selected, the long and short axis of 100 grains were manually measured. The grain diameter measurements are provided in comma-separated (.csv) format and compressed into separate .zip archives for images used for calibration and validation of the automated image processing technique.
Supplemental_Information:
Additional information about the field activity or activities from which these data were derived is available online at: https://cmgds.marine.usgs.gov/fan_info.php?fan=2021-621-FA Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
  1. How might this data set be cited?
    Hatcher, Gerald A., Stevens, Andrew W., and Ferro, Peter Dal, 20230808, Surface sediment grain diameter measurements from point counts of in situ seafloor images collected in the lower Columbia River, Washington and Oregon, 2021: data release DOI:10.5066/10.5066/P92U1KPY, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, California.

    Online Links:

    This is part of the following larger work.

    Stevens, Andrew W., Hatcher, Gerald A., Ferro, Peter Dal, Dartnell, Peter, Warrick, Jonathan A., Cohn, Nicholas, and Moritz, Hans R., 2023, Digital seafloor images, sediment grain size, bathymetry, and water velocity data from the lower Columbia River, Washington and Oregon, 2021: data release DOI:10.5066/P92U1KPY, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, CA.

    Online Links:

    Other_Citation_Details:
    Suggested Citation: Suggested Citation: Stevens, A.W., Hatcher, G.A., Dal Ferro, P., Warrick, J.A., Cohn, N., and Moritz, H.R., 2023, Digital seafloor images, sediment grain size, bathymetry, and water velocity data from the lower Columbia River, Washington and Oregon, 2021: U.S. Geological Survey data release, https://doi.org/10.5066/P92U1KPY.
  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -123.442574
    East_Bounding_Coordinate: -122.762951
    North_Bounding_Coordinate: 46.250242
    South_Bounding_Coordinate: 45.712673
  3. What does it look like?
    point_count_example.png (PNG)
    Image of sediment showing manual measurements of long and short axis of sediment grains and derived cumulative size distribution from grain diameter measurements
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 05-Jun-2021
    Ending_Date: 08-Jun-2021
    Currentness_Reference:
    ground condition at time data were collected
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: comma-delimited text
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Point data set.
    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 0.000001. Longitudes are given to the nearest 0.000001. Latitude and longitude values are specified in Decimal degrees. The horizontal datum used is WGS_1984.
      The ellipsoid used is WGS_1984.
      The semi-major axis of the ellipsoid used is 6378137.0.
      The flattening of the ellipsoid used is 1/298.257223563.
  7. How does the data set describe geographic features?
    Attribute Table
    Table containing attribute information associated with the dataset (Source: Producer defined)
    start_x
    X coordinate of starting point of a grain diameter measurement (Source: producer defined)
    Range of values
    Minimum:4.5
    Maximum:2437.7
    Units:pixels
    start_y
    Y coordinate of starting point of a grain diameter measurement (Source: producer defined)
    Range of values
    Minimum:5.3
    Maximum:2047.7
    Units:pixels
    end_x
    X coordinate of ending point of a grain diameter measurement (Source: producer defined)
    Range of values
    Minimum:15.8
    Maximum:2443.3
    Units:pixels
    end_y
    Y coordinate of ending point of a grain diameter measurement (Source: producer defined)
    Range of values
    Minimum:9.5
    Maximum:2027.8
    Units:pixels
    grain_len_pix
    Diameter of sediment grain (Source: producer defined)
    Range of values
    Minimum:11.0
    Maximum:740.5
    Units:pixels
    Entity_and_Attribute_Overview: The first line of the csv file is a header line.
    Entity_and_Attribute_Detail_Citation: U.S. Geological Survey

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Gerald A. Hatcher
    • Andrew W. Stevens
    • Peter Dal Ferro
  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?

Growth of subaqueous sand dunes commonly causes shoaling in engineered river channels that necessitates costly dredging to maintain adequate depths for navigation. The factors that result in sand wave growth are theoretically understood from laboratory experiments, but the capacity to predict sand wave geometries in field settings is limited due to temporal and spatial variability in hydrodynamics and sediment grain size. Detailed measurements of sand wave geometries, hydrodynamics, and grain size are therefore needed to test and improve numerical models and inform efficient management strategies in navigation channels. This data release presents surface sediment grain size distributions, bathymetry and seafloor acoustic backscatter, and water velocity data acquired at four sites with subaqueous sand dunes in the lower Columbia River, Washington and Oregon, between June 4 and June 9, 2021. The four sites were located between 65 km and 127 km upstream from the ocean inlet along a gradient of relative tidal and fluvial influence. The survey was performed during peak annual river discharge when sediment transport processes were likely active. High resolution digital images were collected at each site with an underwater camera system that was repeatedly lowered to the seabed along a series of 1 km-long transects oriented along the main navigation channel and spaced about 60 m apart. The grain size distributions of the seabed images were estimated using an automated image processing technique and tested with observed grain size distributions derived from manual measurements on a subset of 16 images. Swath bathymetry and seafloor acoustic backscatter data were collected repeatedly at each site using a 234.5 kHz phase-differencing sidescan sonar to characterize sand wave geometry and bathymetric change resulting from sand wave migration. Current velocity data were collected from an underway survey vessel equipped with a downward looking 600 kHz ADCP along transects oriented both along- and across the main navigation channel. Combined, these data provide a comprehensive characterization of mobile subaqueous sand dunes that can be used to improve predictions of dune growth in complicated field settings and inform efficient sediment management practices in the lower Columbia River.

How was the data set created?

  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
    Date: 08-Jun-2021 (process 1 of 3)
    High resolution spatial surveys were performed between June 5 and 8, 2021 to quantify surface sediment grain size distributions of mobile subaqueous dunes at four sites in the lower Columbia River, Washington and Oregon. At each site, digital images of the sediment surface were collected with an underwater camera system that was repeatedly lowered to the seabed along a series of 1 km-long transects oriented along the main navigation channel and spaced about 60 m apart. The camera consisted of a FLIR Blackfly BFS-PGE-50S5 camera and 50 mm lens in a waterproof housing that resulted in a field of view of approximately 17 mm and a resolution of 0.00657 mm per pixel when the housing window was flush with the sediment surface. An ethernet cable between the survey vessel and camera provided power to the camera and allowed for real-time viewing of the seafloor imagery on a computer during acquisition. The locations of each seafloor image were determined using an Applanix POSMV Wavemaster global navigation satellite system receiver operating in DGNSS mode.
    Date: 13-Dec-2022 (process 2 of 3)
    Imagery were inspected to remove images that were not suitable for analysis, including blurry images and replicate images. A subset of 15 calibration images and 16 validation images were identified from the overall data set. Manual point counts were performed on both calibration and validation images by manually measuring the long and short axis of 100 grains in the images following methods described in Warrick and others (2009). Briefly, a 10 x 10 grid was digitally overlaid on the image and, for grains underlying the grid intersection points, both the longest exposed length and shortest exposed length were measured in pixels using a line-drawing tool. If there was no distinguishable grain under the grid intersection point, the nearest clearly visible grain was measured.
    Date: 15-Mar-2023 (process 3 of 3)
    Results from each point count measurement were tabulated in comma-separated text files, organized by calibration and validation groups, and zipped for distribution.
  3. What similar or related data should the user be aware of?
    Warrick, Jonathan A., Rubin, David M., Ruggiero, Peter, Harney, Jodi N., Draut, Amy E., and Buscombe, Daniel, 2009, Cobble cam: grain-size measurements of sand to boulder from digital photographs and autocorrelation analyses.

    Online Links:

    Other_Citation_Details:
    Warrick, J.A., Rubin, D.M., Ruggiero, P., Harney, J.N., Draut, A.E., and Buscombe, D., 2009, Cobble cam: grain-size measurements of sand to boulder from digital photographs and autocorrelation analyses, Earth Surface Processes and Landforms, v. 34, pp. 1811-1821.

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

  1. How well have the observations been checked?
    Data fall within expected ranges.
  2. How accurate are the geographic locations?
    The locations of each seafloor image collected were determined using an Applanix POSMV Wavemaster operating in DGNSS mode. Manufacturer reported accuracy of the horizontal positions while operating in DGNSS mode is between 0.5 and 2 m depending on the quality of the DGNSS corrections received (https://www.applanix.com/downloads/products/specs/posmv/POS-MV-WaveMaster-II.pdf). Additional uncertainty in the horizontal positions of the images due to instrument layback, or non-vertical wire angle between surface vessel and camera at the seafloor, is unknown but assumed to be minimal because of the weight of the camera and slow speed of the vessel relative to the ambient currents during image acquisition.
  3. How accurate are the heights or depths?
  4. Where are the gaps in the data? What is missing?
    Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.
  5. How consistent are the relationships among the observations, including topology?
    No formal logical accuracy tests were conducted.

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 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

    1-831-427-4747 (voice)
    pcmsc_data@usgs.gov
  2. What's the catalog number I need to order this data set? The manual grain size measurements from point counts of calibration and validation images are available in comma-separated text files. The measurements used for calibration (point_counts_calibration.zip) and validation (point_counts_validation.zip) of the automated image processing technique were compressed in separate zip files. The files containing the manual grain diameter measurements were named with the same name as the original image appended with either "_short.csv" or "_long.csv" to denote whether measurements were made on the long or short axis of the grains in the image.
  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: Zipped files containing manual grain diameter measurements on images used for validation of the image processing technique. in format PNG (version MATLAB Version: 9.13.0.2080170 (R2022b)) Size: 0.0512
      Network links: https://doi.org/10.5066/P92U1KPY
      Data format: Zipped files containing manual grain diameter measurements on images used for calibration of the image processing technique. in format PNG (version MATLAB Version: 9.13.0.2080170 (R2022b)) Size: 0.0485
      Network links: https://doi.org/10.5066/P92U1KPY
    • Cost to order the data: None.

Who wrote the metadata?

Dates:
Last modified: 08-Aug-2023
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)
This page is <https://cmgds.marine.usgs.gov/catalog/pcmsc/DataReleases/CMGDS_DR_tool/DR_P92U1KPY/point_counts_calibration_validation_metadata.faq.html>
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