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Bathymetry Digital Elevation Models for Eight Study Areas in Coastal Oregon and Washington, 2012

Metadata Updated: October 29, 2023

The research was conducted at nine tidal marshes in coastal estuaries spanning the Washington and Oregon coastlines from Padilla Bay in northern Washington to Bandon located at the mouth of the Coquille River in southern Oregon. We performed bathymetric surveys using a shallow-water echo-sounding system comprised of an acoustic profiler, Leica Viva RTK GPS, and laptop computer mounted on a shallow-draft, portable flat-bottom boat. The RTK GPS enabled high resolution elevations of the water surface. The rover positions were received from the Leica Smartnet system (www.lecia-geosystems.com) or base station and referenced to the same bench mark used in the elevation surveys. We mounted a variable frequency transducer on the front of the boat and connected it to the sounder; the sounder worked in areas of >10 cm of water. 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. The bar-check plate was suspended below the transducer at a known depth that was verified against the transducer readings. We synthesized the bathymetry data to create a digital elevation model (DEM) of the nearshore regions at Port Susan, Skokomish, Nisqually, Grays Harbor, Willapa, and Bull Island using ArcGIS 10.2.1 Spatial Analyst 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 tidal marsh. We present elevation data as local orthometric heights (NAVD88). At Padilla we mapped the nearshore area using the methodologies outlined in the project report as the dense eelgrass beds would have increased the error in acoustic measurements

Access & Use Information

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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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023
Publisher Climate Adaptation Science Centers
Maintainer
@Id http://datainventory.doi.gov/id/dataset/19771f6103da2983eb3b4b584089ed4f
Identifier 48ea0a64-1a99-459b-a913-50ee4f5b78c2
Data Last Modified 2015-07-21
Category geospatial
Public Access Level public
Bureau Code 010:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 9086c777-14b4-4ca3-afd4-5e88c5e8fb18
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -124.4105168,43.125639,-122.361,48.744
Source Datajson Identifier True
Source Hash 155d9e55af573ffa4b5bedbe8b4d066f199d38a0bd3c9b79f96fd292e8160591
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -124.4105168, 43.125639, -124.4105168, 48.744, -122.361, 48.744, -122.361, 43.125639, -124.4105168, 43.125639}

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