Bathymetric change analyses of the Sacramento River near Rio Vista, California, and the junction of Cache and Steamboat sloughs, from 1992 to 2004

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Frequently anticipated questions:


What does this data set describe?

Title:
Bathymetric change analyses of the Sacramento River near Rio Vista, California, and the junction of Cache and Steamboat sloughs, from 1992 to 2004
Abstract:
Bathymetric change grids covering the periods of time from 1992 to 1998 and from 1994 to 2004 are presented. The grids cover a portion of the Sacramento River near Rio Vista, California, extending partially upstream on Cache and Steamboat sloughs by the Ryer Island Ferry, as well as continuing up the Sacramento River towards Isleton. 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. Army Corps of Engineers, California Department of Water Resources, and NOAA’s National Ocean Service.
Supplemental_Information:
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., and Jaffe, Bruce E., 20201231, Bathymetric change analyses of the Sacramento River near Rio Vista, California, and the junction of Cache and Steamboat sloughs, from 1992 to 2004: 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: -121.697468
    East_Bounding_Coordinate: -121.617604
    North_Bounding_Coordinate: 38.203370
    South_Bounding_Coordinate: 38.135526
  3. What does it look like?
    https://www.sciencebase.gov/catalog/file/get/5c54c2dde4b0708288ff1f87?name=RioVista_bathy_change.jpg&allowOpen=true (JPEG)
    Color-shaded image showing bathymetric change in the Sacramento River, California, from 1992 to 1998.
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 03-Sep-1992
    Ending_Date: 31-Dec-2004
    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:-8.54
    Maximum:11.67
    Units:meters
    Resolution:.01
    Entity_and_Attribute_Overview:
    Change grids in meters showing bathymetric change between data from 1992 to 1998 and from 1998 to 2004. 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
    • 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?
    Corps 2004 (source 1 of 4)
    United States Army Corps of Engineers (USACE), 20050623, Bathymetry data from the John F. Baldwin and Stockton Deep Water Ship Channels (San Pablo Bay to Stockton) as well as the Sacramento Deep Water Ship Channel.: USACE, USACE digital holdings.

    Type_of_Source_Media: xyz
    Source_Contribution:
    2004 bathymetry survey used to generate 2004 bathymetric surface grid for comparison with 1998 survey data.
    DWR DSM2 Delta Surveys (source 2 of 4)
    California Department of Water Resources, 20070124, CSDP Bathymetry Point Data: California Department of Water Resources Website, online.

    Online Links:

    Type_of_Source_Media: xyz
    Source_Contribution:
    1998 USACE bathymetry survey from the database was used to generate 1998 bathymetric surface grid for comparison with 2004 survey data.
    H10442 (source 3 of 4)
    Chief of Party Lt G.F. Glang, 1994, H-10442: 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:
    H10442 sounding data used in compilation with H10447 data to create a 1992 bathymetric grid for comparison with 1998 bathymetric surface
    H10447 (source 4 of 4)
    Chief of Party:Lt. G.F. Glang, 1995, H-10447: 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:
    H10447 sounding data used in compilation with H10442 data to create a 1992 bathymetric grid for comparison with 1998 bathymetric surface
  2. How were the data generated, processed, and modified?
    Date: 03-Sep-2018 (process 1 of 5)
    A 1998 bathymetry survey from the U.S. Army Corps of Engineers covering the area of interest was downloaded from the DWR database and then converted to a bathymetric surface using the ArcGIS TopoToRaster module (ESRI, 2015). Hand-drawn contours were created to constrain the data interpolation, and an interpolation boundary was defined. Output cell size: 5 Output extent: 614149 4221753 621041 4229185 Margin in cells: 20 Smallest Z value: -50 Largest Z value: 15 Drainage Enforcement: no_enforce Primary type of input data: spot Maximum number of iterations: 50 Discretisation error factor: 1 Vertical standard error: 0 Tolerance 1: 6 Tolerance 2: 200 Data sources used in this process:
    • DWR DSM2 Delta Surveys
    Data sources produced in this process:
    • Corps 1998
    Date: 03-Sep-2018 (process 2 of 5)
    A bathymetric surface was generated from NOAA 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: 614149 4221753 621041 4229185 Margin in cells: 20 Smallest Z value: -50 Largest Z value: 15 Drainage Enforcement: no_enforce Primary type of input data: spot Maximum number of iterations: 70 Discretisation error factor: 1 Vertical standard error: 0 Tolerance 1: 0 Tolerance 2: 200 Data sources used in this process:
    • H10447
    • H10442
    Data sources produced in this process:
    • NOAA 1992
    Date: 03-Sep-2018 (process 3 of 5)
    A bathymetric surface was generated from Corps 2004 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: 614149 4221753 621041 4229185 Margin in cells: 20 Smallest Z value: -50 Largest Z value: 15 Drainage Enforcement: no_enforce Primary type of input data: spot Maximum number of iterations: 50 Discretisation error factor: 1 Vertical standard error: 0 Tolerance 1: 5 Tolerance 2: 200 Data sources used in this process:
    • Corps 2004
    Data sources produced in this process:
    • Rio Corps 2004
    Date: 06-Sep-2018 (process 4 of 5)
    Esri’s ArcGIS RasterCalculator was used to subtract the NOAA 1992 raster from the Corps 1998 raster to create a change surface where positive values represent accretion and negative values are erosion. Data sources used in this process:
    • Corps 1998
    • NOAA 1992
    Data sources produced in this process:
    • RioVista_92_98
    Date: 06-Sep-2018 (process 5 of 5)
    Esri’s ArcGIS RasterCalculator was used to subtract the Corps 1998 raster from the Corps 2004 raster to create a change surface where positive values represent accretion and negative values are erosion. Data sources used in this process:
    • Corps 1998
    • Rio Corps 2004
    Data sources produced in this process:
    • RioVista_98_04
  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 (RioVista_bathy_change_1998-2004.tif and RioVista_bathy_change_1992-1998.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: 31-Dec-2020
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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