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Metadata Updated: June 15, 2024

We performed bathymetric surveys using a shallow-water echo-sounding system (Takekawa et al., 2010, Brand et al., 2012) comprised of an acoustic profiler (Navisound 210; Reson, Inc., Slangerup, Denmark), Leica RTK GPS Viva rover, and laptop computer mounted on a shallow-draft, portable flat-bottom boat (Bass Hunter, Cabelas, Sidney, NE; Figure 7). The RTK GPS obtained high resolution elevations of the water surface (reported precision 10 cm water depth. We recorded twenty depth readings and one GPS location each second along transects spaced 100 m apart perpendicular to the nearby salt marsh. We calibrated the system before use with a bar-check plate and adjusted the sound velocity for salinity and temperature differences. We suspended the bar-check plate below the transducer at a known depth that was verified against the transducer readings. Morro Bay did not have bathymetry data, therefore we downloaded LIDAR data collected by the NOAA California Coastal Conservancy Coastal Topobathy Project: Digital Elevation Model 2009-2011.For bathymetry at Pt. Mugu, we used data collected by the Seafloor Mapping Lab (SFML) at the California State University Monterey Bay (Seafloor Mapping Lab, 2013). Side scan data for Pt. Mugu were acquired using a Swathplus interferometric sonar with an Applanix Position and Orientation System, Marine Vessel (POS MV 320 v.4) system (position accuracy ± 2 m, pitch, roll and heading accuracy ± 0.02°, heave accuracy ± 5% or 5 cm). Bathymetric data were post-processed using CARIS HIPS hydrographic data cleaning system software. Derived products are at 1m resolution and relative to the NAVD88 vertical datum with geoid09. Data acquisition, post-processing, and final products derived from multibeam bathymetry data were handled by the Seafloor Mapping Lab at CSUMB. We synthesized the bathymetry data to create a DEM of the mudflat and subtidal regions at Mad River, San Pablo, Bolinas, Morro, Pt. Mugu, and Newport using ArcGIS 10.2.1 Spatial Analyst (ESRI 2013, Redlands, CA) with exponential ordinary kriging methods (5 x 5 m cell size). We removed portions of bathymetry data that overlapped with elevation surveys conducted on the marsh. In this report we present elevation data as local orthometric heights (NAVD88).

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Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Created Date June 1, 2023
Metadata Updated Date June 15, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date June 15, 2024
Publisher Climate Adaptation Science Centers
Identifier 648edde3-e79f-4736-94b4-8d8008429778
Data Last Modified 2016-03-11
Category geospatial
Public Access Level public
Bureau Code 010:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id bba34c3f-de48-4071-9759-b80a62bd88ed
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -120.863964,35.319368,-120.823218,35.353319
Source Datajson Identifier True
Source Hash f12e51e742854d2f4f0a2c4bc09924f3f8e2a9b779c0ecf601166924643be8dc
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -120.863964, 35.319368, -120.863964, 35.353319, -120.823218, 35.353319, -120.823218, 35.319368, -120.863964, 35.319368}

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