Assessing the Spatiotemporal Variability in Geotechnical Sediment Properties of Beach Cusps on a Sandy Beach

Abstract This study examined the spatiotemporal variability in geotechnical properties of beach cusp sediments on a sandy beach and tested if such variability can be used for cusp monitoring from satellite imagery. Specifically, sediment properties (including moisture content ( w ), relative density ( D r ), sediment strength (QSBC) and friction angle ( ϕ )) were compared from cusp horns and bays with those from areas lacking visible cusp features. Results indicate marked differences between cusp horns and bays where bays consistently exhibited higher w (9%–23%), D r (38%–83%), ϕ (36°–43°), and QSBC (44–82 kPa) than horns ( w = 4%–6%; D r = 7%–23%; ϕ = 32°–33°; QSBC = 14–22 kPa), while both showed similar median grain sizes ( d 50 = 0.34 mm). The properties measured at cusp horns were comparable to those obtained along longshore and cross‐shore transects with no cusps. This work represents a first quantitative assessment of the geotechnical properties of beach cusps and provides insights that could enhance models of beach evolution and sediment transport. Furthermore, the variability in w enabled the coupling of a K‐means clustering algorithm with image morphological operators to identify beach cusps and estimate cusp spacing from high‐resolution multispectral satellite imagery. The remotely derived cusp spacing showed strong agreement with measurements obtained from a digital elevation model of the beach. This approach offers a simple and effective method for remotely monitoring beach cusp morphodynamics and associated variability in sediment properties, contributing to improved coastal management and modeling efforts.

Authors

Institutions

Publication Details

Journal
Journal of Geophysical Research Earth Surface
Published
2026-05-01
DOI
https://doi.org/10.1029/2025jf008877
Primary Topic
Coastal and Marine Dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the Spatiotemporal Variability in Geotechnical Sediment Properties of Beach Cusps on a Sandy Beach

Nina Stark, Tian‐Jian Hsu, Stephen Adusei, Jonathan Hubler
Journal of Geophysical Research Earth Surface
Coastal and Marine Dynamics
article

Assessing the Spatiotemporal Variability in Geotechnical Sediment Properties of Beach Cusps on a Sandy Beach

Nina Stark, Tian‐Jian Hsu, Stephen Adusei, Jonathan Hubler
article en

Abstract

Abstract This study examined the spatiotemporal variability in geotechnical properties of beach cusp sediments on a sandy beach and tested if such variability can be used for cusp monitoring from satellite imagery. Specifically, sediment properties (including moisture content ( w ), relative density ( D r ), sediment strength (QSBC) and friction angle ( ϕ )) were compared from cusp horns and bays with those from areas lacking visible cusp features. Results indicate marked differences between cusp horns and bays where bays consistently exhibited higher w (9%–23%), D r (38%–83%), ϕ (36°–43°), and QSBC (44–82 kPa) than horns ( w = 4%–6%; D r = 7%–23%; ϕ = 32°–33°; QSBC = 14–22 kPa), while both showed similar median grain sizes ( d 50 = 0.34 mm). The properties measured at cusp horns were comparable to those obtained along longshore and cross‐shore transects with no cusps. This work represents a first quantitative assessment of the geotechnical properties of beach cusps and provides insights that could enhance models of beach evolution and sediment transport. Furthermore, the variability in w enabled the coupling of a K‐means clustering algorithm with image morphological operators to identify beach cusps and estimate cusp spacing from high‐resolution multispectral satellite imagery. The remotely derived cusp spacing showed strong agreement with measurements obtained from a digital elevation model of the beach. This approach offers a simple and effective method for remotely monitoring beach cusp morphodynamics and associated variability in sediment properties, contributing to improved coastal management and modeling efforts.

Journal of Geophysical Research Earth SurfaceVol. 131(5)
University of Florida (US), Villanova University (US), University of Delaware (US)
Office of Naval Research
Life below water
Openalex Percentile: Top 8%
Coastal and Marine Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.