April 2013 bathymetry (WGS84) of Coyote Creek and Alviso Slough, South San Francisco Bay, California

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Frequently anticipated questions:


What does this data set describe?

Title:
April 2013 bathymetry (WGS84) of Coyote Creek and Alviso Slough, South San Francisco Bay, California
Abstract:
1-m resolution bathymetry collected in Coyote Creek and Alviso Slough in April 2013.
Projection = UTM Zone 10 in meters, Horizontal Datum = WGS84(G1150), Elevations relative to the WGS84 Ellipsoid, all units in meters.
The surveys extend east from Calaveras Point along Coyote Creek to the railroad bridge, along Alviso Slough to the town of Alviso (just over 7 km), and along the 3.7 km of Guadalupe Slough closest to the San Francisco Bay, California.
Supplemental_Information:
USGS Field Activity S-05-13-SF <http://walrus.wr.usgs.gov/infobank/s/s0513sf/html/s-05-13-sf.meta.html>
  1. How might this data set be cited?
    U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC), Santa Cruz, CA., 2015, April 2013 bathymetry (WGS84) of Coyote Creek and Alviso Slough, South San Francisco Bay, California:.

    This is part of the following larger work.

    U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC), Santa Cruz, CA., 2015, Bathymetry and Digital Elevation Models of Coyote Creek and Alviso Slough, South San Francisco Bay, California (Version 3, Revised 2015): U.S. Geological Survey Open-File Report OF2011-1315.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -122.060187436
    East_Bounding_Coordinate: -121.974560855
    North_Bounding_Coordinate: 37.4706742088
    South_Bounding_Coordinate: 37.4231662547
  3. What does it look like?
    <http://walrus.wr.usgs.gov/infobank/s/s0513sf/html/s-05-13-sf.index.jpg> (JPEG)
    Image showing S-05-13-SF survey tracklines.
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 02-Apr-2013
    Ending_Date: 25-Apr-2013
    Currentness_Reference: ground condition
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: raster digital data
  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 5041 x 7229, type grid cell
    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
      Latitude_of_Projection_Origin: 0.0
      False_Easting: 500000
      False_Northing: 0.0
      Planar coordinates are encoded using row and column
      Abscissae (x-coordinates) are specified to the nearest 1.0
      Ordinates (y-coordinates) are specified to the nearest 1.0
      Planar coordinates are specified in meters
      The horizontal datum used is WGS84.
      The ellipsoid used is WGS84 (G1150).
      The semi-major axis of the ellipsoid used is 6378137.
      The flattening of the ellipsoid used is 1/298.257.
      Vertical_Coordinate_System_Definition:
      Altitude_System_Definition:
      Altitude_Datum_Name: WGS84
      Altitude_Resolution: 0.01
      Altitude_Distance_Units: meters
      Altitude_Encoding_Method: Attribute values
  7. How does the data set describe geographic features?
    Altitude
    Altitude (elevation) above the WGS84 (G1150) ellipsoid in meters. Values are positive up. (Source: USGS Open-File Report: 2011-1315)

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
  2. Who also contributed to the data set?
  3. To whom should users address questions about the data?
    USGS Pacific Coastal and Marine Science Center
    Attn: Amy Foxgrover
    Geographer
    400 Natural Bridges Drive
    Santa Cruz, CA
    USA

    (831) 460-7561 (voice)
    (831) 427-4748 (FAX)
    afoxgrover@usgs.gov

Why was the data set created?

To monitor bathymetric change as the South Bay Salt Pond Restoration Project progresses (http://www.southbayrestoration.org).

How was the data set created?

  1. From what previous works were the data drawn?
    S-05-13-SF (source 1 of 1)
    U.S. Geological Survey, Coastal and Marine Geology Program, 2015, USGS CMG Field Activity S-05-13-SF.

    Online Links:

    Type_of_Source_Media: online
    Source_Contribution:
    This 2013 field activity collected bathymetric data in San Francisco Bay.
  2. How were the data generated, processed, and modified?
    Date: 2013 (process 1 of 5)
    Sonar Data Collection
    The bathymetric surveys were conducted using a 234.5 kHz SEA (Systems Engineering & Assessment Ltd) SWATHplus-M phase-differencing sidescan sonar. The sonar was pole-mounted on the 34-foot USGS mapping vessel R/V Parke Snavely, and affixed to a hull brace. GPS position data were passed through a POS MV intertial measurement unit (IMU) to the sonar hardware and data collection software. Sonar heads, GPS antennae, and the IMU were surveyed in place to a common reference frame with a Geodimeter 640 Total Station. The R/V Snavely was outfitted with three networked workstations and a navigation computer for use by the captain and survey crew for data collection and initial processing.
    Date: 2013 (process 2 of 5)
    Vessel Position and Attitude
    Vessel and position attitude measured using an Applanix Position and Orientation System for Marine Vessels (POS MV). The POS MV utilizes Global Navigation Satellite System (GNSS) data in combination with angular rate and acceleration data from the IMU and heading data from the GPS Azimuth Measurement Systems (GAMS) to produce accurate position and orientation information through a virtual network of base stations. As opposed to receiving high-accuracy RTK corrections in real time, the POS records raw inertial and GNSS data while surveying which is later refined through post processing to incorporate publicly available GPS data from nearby base stations. During post processing the POS M/V data is run through POSPac software to produce a Smoothed Best Estimate of Trajectory (SBET) file which is then imported back into Swath Processor to produce high-accuracy positions relative to the WGS84 ellipsoid. The RMS results from our POS MV surveys show positional errors of less than 5cm in X, Y, and Z.
    Date: 2013 (process 3 of 5)
    Sound Velocity Measurements
    Sound velocity measurements were collected continuously with an Applied Micro Systems Micro SV deployed on the transducer frame for real-time sound velocity adjustments at the transducer-water interface. The Micro SV is accurate to +/- 0.03 m/s. In addition, sound velocity profiles (SVP) were collected with an Applied Micro Systems, SvPlus 3472. This instrument provides time-of-flight sound-velocity measurements by using invar rods with a sound-velocity accuracy of +/- 0.06 m/s, pressure measured by a semiconductor bridge strain gauge to an accuracy of 0.15 percent (Full Scale) and temperature measured by thermistor to an accuracy of 0.05 degrees Celsius (Applied Microsystems Ltd., 2005).
    Date: 2013 (process 4 of 5)
    Sonar Sounding Processing
    GPS data and measurements of vessel motion are combined in the POS MV hardware to produce a high-precision vessel attitude packet. This packet is transmitted to the Swath Processor acquisition software in real-time and combined with instantaneous sound velocity measurements at the transducer head before each ping. Up to 20 pings per second are transmitted with each ping consisting of 2048 samples per side (port and starboard). The returned samples are projected to the seafloor using a ray-tracing algorithm working with the previously measured sound velocity profiles in SEA Swath Processor (version 3.7.17). A series of statistical filters are applied to the raw samples that isolate the seafloor returns from other uninteresting targets in the water column. Finally, the processed data is stored line-by-line in both raw (.sxr) and processed (.sxp) trackline files.
    Date: 2013 (process 5 of 5)
    Digital Elevation Model Production
    The raw bathymetry data was filtered in SEA Swath Processor (version 3.7.17) and imported into CARIS HIPS and SIPS (version 8.1) for post-processing. Within CARIS a swath angle BASE (Bathymetric with Associated Statistical Error) surface was created at 1 m resolution and the subset editor used to manually eliminate any remaining outliers or artifacts. The average depth within each 1 by 1 m cell was exported as an ASCII text file and imported into Surfer (version 10) for interpolation using a linear kriging algorithm with a 1-simga nugget of 0.05 m and a 2 by 2 m search radius. The resultant grid was exported to ESRI ArcMap (version 10.2.1) for display and further analyses. The entire survey was shoaled by 7 cm to account for a combination of biases resulting from changes in the boat instrumentation and configurations that occured since the initial survey was collected in 2010.
  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?
    This bathymetric data has not been independently verified for accuracy.
  2. How accurate are the geographic locations?
    Uncertainty in the horizontal position of each sounding is a function of the total uncertainty propagated through each of the following component instruments: 1) base station GPS, 2) vessel GPS, 3) intertial motion unit (IMU), 4) water sound velocity model, and 5) beam spreading in the water column. Assuming no systematic errors in the measurement instruments themselves, beam spreading is the dominate source of positional uncertainty. The 1-degree sonar beam of the SWATHplus-M results in horizontal uncertainty ranging from 0.10 m at 10 m slant range, to about 0.45 m at 50 m slant range.
  3. How accurate are the heights or depths?
    After filtering the data to remove obvious outliers, the standard deviation of the remaining sounding elevations was calculated for each 1 m by 1 m cell (each containing 19 soundings on average) in CARIS. The mean of the standard deviation for all cells in the survey is 0.05 m and 97% of the cells in the data set have a standard deviation of less than 0.15 m.
  4. Where are the gaps in the data? What is missing?
    The raw bathymetry data was filtered in SEA Swath Processor and imported into CARIS HIPS and SIPS for post-processing. Within CARIS a swath angle BASE (Bathymetric with Associated Statistical Error) surface was created at 1 m resolution and the subset editor used to manually eliminate any remaining outliers or artifacts. The average depth within each 1 by 1 m cell was exported as an ASCII text file and imported into Surfer for interpolation using a linear kriging algorithm with a 1-simga nugget of 0.05 m and a 2 by 2 m search radius. The resultant grid was exported to ESRI ArcMap software for display.
  5. How consistent are the relationships among the observations, including topology?
    All bathymetric values are derived from the same instruments and processing workflow.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints:
If physical samples or materials are available, constraints on their on-site access are described in "WR CMG Sample Distribution Policy" at URL: http://walrus.wr.usgs.gov/infobank/programs/html/main/sample-dist-policy.html
Use_Constraints:
This information is not intended for navigational purposes.
Read and fully comprehend the metadata prior to data use. Uses of these data should not violate the spatial resolution of the data. Where these data are used in combination with other data of different resolution, the resolution of the combined output will be limited by the lowest resolution of all the data.
Acknowledge the U.S. Geological Survey in products derived from these data. Share data products developed using these data with the U.S. Geological Survey.
This database has been approved for release and publication by the Director of the USGS. Although this database has been subjected to rigorous review and is substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, it is released on condition that neither the USGS nor the United States Government may be held liable for any damages resulting from its authorized or unauthorized use.
Although this Federal Geographic Data Committee-compliant metadata file is intended to document these data in nonproprietary form, as well as in ArcInfo format, this metadata file may include some ArcInfo-specific terminology.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey, Pacific Coastal and Marine Science Center (PCMSC)
    Attn: Amy Foxgrover
    400 Natural Bridges Drive
    Santa Cruz, CA
    US

    831-460-7561 (voice)
    831-427-4748 (FAX)
    afoxgrover@usgs.gov
  2. What's the catalog number I need to order this data set? Downloadable Data
  3. What legal disclaimers am I supposed to read?
    This information is not intended for navigational purposes.
    This database has been approved for release and publication by the Director of the USGS. Although this database has been subjected to rigorous review and is substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, it is released on condition that neither the USGS nor the United States Government may be held liable for any damages resulting from its authorized or unauthorized use.
    Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.
  4. How can I download or order the data?

Who wrote the metadata?

Dates:
Last modified: 23-Jun-2015
Metadata author:
Amy Foxgrover
400 Natural Bridges Drive
Santa Cruz, California
USA

(831) 460-7561 (voice)
afoxgrover@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)

Generated by mp version 2.9.32 on Fri Sep 04 20:21:19 2015