Event Title

An assessment of digital grain size estimation techniques for shorelines

Presentation Abstract

Digital grain size analysis methods offer distinct advantages over traditional methods that rely either on the collection, transport and analysis of physical samples in a lab setting, or time-consuming field point counts. However, the accuracy and precision of digital methods, especially automated methods, are poorly understood, particularly under real-world sampling conditions. Here we compare grain size sample metrics derived from two digital techniques, one manual and one automated, to grain size sample metrics derived from field point counts at ~40 sample sites on two intertidal beach reaches on the Strait of Juan de Fuca. The 40 samples spanned a range of grain size mixes, from predominantly sand to predominantly coarse cobble.

Session Title

Posters: Monitoring: Species & Habitats

Conference Track

SSE18: Posters

Conference Name

Salish Sea Ecosystem Conference (Seattle, WA : 2018)

Document Type

Event

SSEC Identifier

SSE18-88

Start Date

5-4-2018 11:30 AM

End Date

5-4-2018 1:30 PM

Type of Presentation

Poster

Contributing Repository

Digital content made available by University Archives, Heritage Resources, Western Libraries, Western Washington University.

Geographic Coverage

Salish Sea (B.C. and Wash.)

Rights

This resource is displayed for educational purposes only and may be subject to U.S. and international copyright laws. For more information about rights or obtaining copies of this resource, please contact University Archives, Heritage Resources, Western Libraries, Western Washington University, Bellingham, WA 98225-9103, USA (360-650-7534; heritage.resources@wwu.edu) and refer to the collection name and identifier. Any materials cited must be attributed to the Salish Sea Ecosystem Conference Records, University Archives, Heritage Resources, Western Libraries, Western Washington University.

Type

text

Language

English

Format

application/pdf

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Apr 5th, 11:30 AM Apr 5th, 1:30 PM

An assessment of digital grain size estimation techniques for shorelines

Digital grain size analysis methods offer distinct advantages over traditional methods that rely either on the collection, transport and analysis of physical samples in a lab setting, or time-consuming field point counts. However, the accuracy and precision of digital methods, especially automated methods, are poorly understood, particularly under real-world sampling conditions. Here we compare grain size sample metrics derived from two digital techniques, one manual and one automated, to grain size sample metrics derived from field point counts at ~40 sample sites on two intertidal beach reaches on the Strait of Juan de Fuca. The 40 samples spanned a range of grain size mixes, from predominantly sand to predominantly coarse cobble.