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Developing digital clast counting methodology for analysis of boulder beaches

Description
"This study uses the Python-based PebbleCounts application (Purinton and Bookhagen, 2019) to implement grain-size analysis of orthorectified, geo-referenced images from the Minard boulder beach of W. Ireland. Traditional techniques measuring grain-size distributions are limited and possess significant biases; digital-clast counting methodology offers a promising alternative to analyze clast populations with greater efficiency and accuracy. PebbleCounts includes a fully automated (AIF) and semi-automated (KMS) approach for clast-counting. Over the course of this study, both the PebbleCounts AIF and KMS approaches demonstrated greater efficiency and precision in analyzing clast populations than comparative (digital-manual) methods. By conducting further study of boulder beaches under this approach, we can understand how these environments develop and evolve over longer time scales."

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Details
Title Developing digital clast counting methodology for analysis of boulder beaches
Author Mason, Aria
Advisor Cox, Rónadh
Department Geosciences
Type of Resource text
Date Issued 2021
Language eng
doi https://doi.org/10.36934/TR2021_259
filename 2021_Mason_Aria_Thesis_Final.pdf
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Description "This study uses the Python-based PebbleCounts application (Purinton and Bookhagen, 2019) to implement grain-size analysis of orthorectified, geo-referenced images from the Minard boulder beach of W. Ireland. Traditional techniques measuring grain-size distributions are limited and possess significant biases; digital-clast counting methodology offers a promising alternative to analyze clast populations with greater efficiency and accuracy. PebbleCounts includes a fully automated (AIF) and semi-automated (KMS) approach for clast-counting. Over the course of this study, both the PebbleCounts AIF and KMS approaches demonstrated greater efficiency and precision in analyzing clast populations than comparative (digital-manual) methods. By conducting further study of boulder beaches under this approach, we can understand how these environments develop and evolve over longer time scales."
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ID Label Size Mimetype Created
OBJ OBJ datastream 86.85 MiB application/pdf 2021-06-08
TN TN 3.31 KiB image/jpeg 2021-06-08