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 (2018 : Seattle, Wash.)
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
Genre/Form
conference proceedings; presentations (communicative events); posters
Contributing Repository
Digital content made available by University Archives, Heritage Resources, Western Libraries, Western Washington University.
Subjects – Topical (LCSH)
Soils--Analysis--Juan de Fuca, Strait of (B.C. and Wash.); Beach erosion monitoring--Juan de Fuca, Strait of (B.C. and Wash.)
Geographic Coverage
Salish Sea (B.C. and Wash.); Juan de Fuca, Strait of (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
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.
