Bathymetric change analyses of the southernmost portion of the Mokelumne River, California, from 1934 to 2018

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Frequently anticipated questions:

What does this data set describe?

Title:
Bathymetric change analyses of the southernmost portion of the Mokelumne River, California, from 1934 to 2018
Abstract:
Bathymetric change grids covering the periods of time from 1934 to 2011, from 2011 to 2018, and from 1934 to 2018 are presented. The grids cover a portion of the Mokelumne River, California, starting at its terminus at the San Joaquin River and moving upriver to the confluences of the north and south branches of the Mokelumne. Positive grid values indicate accretion, or a shallowing of the surface bathymetric surface, and negative grid values indicate erosion, or a deepening of the bathymetric surface. Bathymetry data sources include the U.S. Geological Survey, California Department of Water Resources, and NOAA’s National Ocean Service.
Supplemental_Information:
Additional information about the USGS field activity from which some of these data were derived is available online at:
http://cmgds.marine.usgs.gov/fan_info.php?fan=2018-609-FA
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?
    Fregoso, Theresa A., Lacy, Jessica R., and Jaffe, Bruce E., 20201231, Bathymetric change analyses of the southernmost portion of the Mokelumne River, California, from 1934 to 2018: data release DOI:10.5066/P976WNNN, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, California.

    Online Links:

    This is part of the following larger work.

    Fregoso, Theresa A., and Jaffe, Bruce E., 2020, Pilot study on bathymetric change analyses in the Sacramento-San Joaquin Delta, California: data release DOI:10.5066/P976WNNN, 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: -121.587149
    East_Bounding_Coordinate: -121.559654
    North_Bounding_Coordinate: 38.125947
    South_Bounding_Coordinate: 38.095662
  3. What does it look like?
    https://www.sciencebase.gov/catalog/file/get/5c12df32e4b034bf6a85edab?name=SMoke_bathy_change_1934-2018.jpg&allowOpen=true (JPEG)
    Color-shaded image showing bathymetric change in the Mokelumne River, California, from 1934 to 2018.
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 14-Nov-1933
    Ending_Date: 30-Mar-2018
    Currentness_Reference:
    ground condition at time data were collected
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: GeoTiff
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Raster data set. It contains the following raster data types:
      • Dimensions 1486 x 1378, type Pixel
    2. What coordinate system is used to represent geographic features?
      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: -123.0
      Latitude_of_Projection_Origin: 0.0
      False_Easting: 500000.0
      False_Northing: 0.0
      Planar coordinates are encoded using row and column
      Abscissae (x-coordinates) are specified to the nearest 5.0
      Ordinates (y-coordinates) are specified to the nearest 5.0
      Planar coordinates are specified in Meter
      The horizontal datum used is GCS_North_American_1983.
      The ellipsoid used is GRS_1980.
      The semi-major axis of the ellipsoid used is 6378137.0.
      The flattening of the ellipsoid used is 1/298.257222101.
  7. How does the data set describe geographic features?
    floating point
    GeoTiffs with elevation change data measured in meters in relation to the source data relative to NAVD88. Positive values represent a gain in elevation and negative values represent a loss in elevation in regards to the previous data. Cells with values of -3.4028231e+38 indicate no data. (Source: Producer defined)
    Value
    elevation change in meters, positive values are a gain, negative values are a loss. (Source: producer defined)
    Range of values
    Minimum:-9.7395172119141
    Maximum:14.364072799683
    Units:meters
    Resolution:.01
    Entity_and_Attribute_Overview:
    Change grids in meters showing bathymetric change between data from 1934 to 2011, from 2011 to 2018, and from 1934 to 2018. Positive values represent a gain in elevation from older surface to new, and negative values represent a loss in elevation from older to new surface.
    Entity_and_Attribute_Detail_Citation:
    The entity and attribute information was generated by the individual and/or agency identified as the originator of the data set. Please review the rest of the metadata record for additional details and information.

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Theresa A. Fregoso
    • Jessica R. Lacy
    • Bruce E. Jaffe
  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?

These bathymetric change grids were created for use in a pilot study to explore bathymetric change in the Sacramento-San Joaquin Delta region. The bathymetry of the Delta affects the flow of water and sediment throughout the system and is a basic control on levee stability, habitat distribution, and water quality. Delta bathymetry is dynamic, responding to both natural and human-induced changes in the environment. Assessment of future Delta conditions is aided by an understanding of how its bathymetry has changed in the past.

How was the data set created?

  1. From what previous works were the data drawn?
    USGS 2018 (source 1 of 4)
    Dartnell, Peter, Lacy, Jessica R., and Stevens, Andrew, 2020, Swath bathymetric data from three locations in the Sacramento-San Joaquin Delta, California, 2017 to 2018: USGS, online.

    Online Links:

    Type_of_Source_Media: online database
    Source_Contribution:
    USGS 2018 bathymetry used to compare to DWR 2011 and NOAA 1934ab bathymetry to generate two change grids.
    DWR 2011 (source 2 of 4)
    Mayr, Shawn, 2013, MokelumneRvr_at_StatenIsl2011_1118: California Department of Water Resources, Division of Integrated Regional Water Management, North Central Region Office, Bathymetry and Technical Support Section., online.

    Online Links:

    Type_of_Source_Media: online database
    Source_Contribution:
    DWR 2011 bathymetry was used to compare with 1934 data to generate a change grid.
    NOAA 1934a (source 3 of 4)
    DAVIS, F., 2018, H06005B: NOS Hydrographic Survey: Hydrographic Surveys Division, Office of Coast Survey, National Ocean Service, NOAA, U.S. Department of Commerce, online.

    Online Links:

    Type_of_Source_Media: online database
    Source_Contribution:
    H6005b sounding data used in compilation with H6006 data to create a bathymetric grid using ArcGIS TopoToRaster (ESRI, 2015) for a portion of the Mokelumne River, starting at the San Joaquin River and extending north to Georgiana Slough and the branching into north and south portions of the Mokelumne River.
    NOAA 1934b (source 4 of 4)
    Chief of Party: L.P. Raynor, 2018, H06006: NOS Hydrographic Survey: Hydrographic Surveys Division, Office of Coast Survey, National Ocean Service, NOAA, U.S. Department of Commerce, online.

    Online Links:

    Type_of_Source_Media: online database
    Source_Contribution:
    H6006 sounding data used in compilation with H6005B data to create a bathymetric grid using ArcGIS TopoToRaster (ESRI, 2015) for a portion of the Mokelumne River, starting at the San Joaquin River and extending north to Georgiana Slough and the branching into north and south portions of the Mokelumne River.
  2. How were the data generated, processed, and modified?
    Date: 03-Sep-2018 (process 1 of 5)
    A bathymetric surface was generated from NOAA 1934a and NOAA 1934b hydrographic survey data using the ArcGIS TopoToRaster (ESRI, 2015) module. Hand-drawn contours were created to constrain the data interpolation, and an interpolation boundary was defined. Output cell size: 5 Output extent: 623883 4217166 626245 4221778 Margin in cells: 20 Smallest Z value: -5 Largest Z value: 15 Drainage Enforcement: no_enforce Primary type of input data: spot Maximum number of iterations: 70 Descretissation error factor: 1 Vertical standard error: 0 Tolerance 1: 3 Tolerance 2: 200 Data sources used in this process:
    • NOAA 1934a
    • NOAA 1934b
    Data sources produced in this process:
    • NOAA 1934ab
    Date: 06-Sep-2018 (process 2 of 5)
    Esri’s ArcGIS RasterCalculator was used to subtract the NOAA 1934ab raster from the DWR 2011 raster to create a change surface where positive values represent accretion and negative values are erosion. Data sources used in this process:
    • DWR 2011
    • NOAA 1934ab
    Data sources produced in this process:
    • SMoke_11_34
    Date: 06-Sep-2018 (process 3 of 5)
    Esri’s ArcGIS RasterCalculator was used to subtract the DWR 2011 raster from the USGS 2018 raster to create a change surface where positive values represent accretion and negative values are erosion. Data sources used in this process:
    • USGS 2018
    • DWR 2011
    Data sources produced in this process:
    • SMoke_18_11
    Date: 06-Sep-2018 (process 4 of 5)
    Esri’s ArcGIS RasterCalculator was used to subtract the NOAA 1934ab raster from the USGS 2018 raster to create a change surface where positive values represent accretion and negative values are erosion. Data sources used in this process:
    • USGS 2018
    • NOAA 1934ab
    Data sources produced in this process:
    • SMoke_18_34
    Date: 18-Oct-2021 (process 5 of 5)
    Performed minor edits to correct typos in Network Resource Links section. No data were changed Person who carried out this activity:
    U.S. Geological Survey
    Attn: Susan A. Cochran
    Geologist
    2885 Mission Street
    Santa Cruz, CA

    831-460-7545 (voice)
    scochran@usgs.gov
  3. What similar or related data should the user be aware of?
    Environmental Systems Research Institute, Inc (ESRI), 2015, Topo to Raster help page.

    Online Links:

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

  1. How well have the observations been checked?
    No formal attribute accuracy tests were conducted.
  2. How accurate are the geographic locations?
    Data are as accurate as source data used, no further tests were conducted, and no claims are made to accuracy.
  3. How accurate are the heights or depths?
    Data are as accurate as source data used, no further tests were conducted, and no claims are made to accuracy.
  4. Where are the gaps in the data? What is missing?
    Data are considered complete for the information presented. Geographic boundaries of the interpolations are determined by the limits of source data used. For example, the USACE 2004 survey does not extend as far upstream on the Cache and Steamboat sloughs as do the USACE 1998 and the NOAA 1992 surveys.
  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 of the dataset and in products derived from these data. This information is not intended for navigation purposes.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey - ScienceBase
    Denver Federal Center, Building 810, Mail Stop 302
    Denver, CO

    1-888-275-8747 (voice)
    sciencebase@usgs.gov
  2. What's the catalog number I need to order this data set? These data are available as GeoTiffs (SMoke_bathy_change_1934-2011.tif, SMoke_bathy_change_1934-2018.tif, and SMoke_bathy_change_2011-2018.tif ) with accompanying files and 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?
  5. What hardware or software do I need in order to use the data set?
    These data can be viewed with ArcGIS software.

Who wrote the metadata?

Dates:
Last modified: 18-Oct-2021
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/ScienceBase/DR_P976WNNN/SMoke_bathy_change_metadata.faq.html>
Generated by mp version 2.9.50 on Mon Oct 18 16:19:50 2021