Defining Dunes: Evaluating How Dune Feature Definitions Affect Dune Interpretations from Remote Sensing

Wernette, Phillipe; Thompson, Stephanie; Eyler, Rachel; Taylor, Hannah; Taube, Caleb; Medlin, Alex; DeCuir, C.; Houser, Chris

doi:10.2112/jcoastres-d-17-00082.1

Cited by 28 publications

(8 citation statements)

References 30 publications

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“…The definition of this toe elevation is consistent with needs for coastal dune applications (e.g., Splinter & Palmsten, 2012), although can be poorly defined in sites that do not have sharp changes in curvature between the beach and the hinterland feature. The maximum curvature based definition of the toe at this site from the available data also appears justifiable, although it is important to note that there are sensitivities to the model based on this parameter as there are with similar dune applications (e.g., Wernette et al, 2018). Other more sophisticated process-based modeling tools do not inherently require this definition and can also directly simulate changes to the beach and tundra landscape (e.g., Arctic XBeach) which may be necessary to resolve for certain detail oriented applications, such as the design of engineering structures.…”

Section: Predictive Skill Of Hindcasting Coastal Change At Point Hopementioning

confidence: 95%

Assessing Drivers of Coastal Tundra Retreat at Point Hope, Alaska

Cohn

Bosche

Midgley³

et al. 2022

JGR Earth Surface

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Shoreline erosion over the last few decades along the Point Hope, Alaska, USA coastline has led to considerable loss of tundra behind the beach. Analysis of available remote sensing, morphology, and hydrodynamic datasets are used to inform the time scales and mechanisms of coastal land loss at Point Hope, in part through integration of these data into an analytical retreat model originally developed for coastal foredunes. At shorter time scales, these analyses indicate that steeper local beach slopes influence higher wave runup that can enhance the scale of tundra retreat at a particular section of coast. Coastal stretches that are most vulnerable to wave attack of the tundra scarp appear to shift with time related to complex spatio‐temporal variability in shoreline change rates. These local beach erosion rates primarily control the retreat of the tundra at decadal scales. However, independent of the fronting beach morphology, the largest erosion events throughout the region generally occur when there is the coincidence of both high wave energy and elevated still water levels. Additional exploratory modeling results indicate that future changes to sea level and changes in wave energy will further enhance the magnitude of tundra erosion.

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Section: Predictive Skill Of Hindcasting Coastal Change At Point Hopementioning

confidence: 95%

Assessing Drivers of Coastal Tundra Retreat at Point Hope, Alaska

Cohn

Bosche

Midgley³

et al. 2022

JGR Earth Surface

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“…In some areas, the shoreline was not continuous, so a buffer of +/-0.1 m was used to adjust for the shoreline discontinuity (-0.1 m and 0.1 m chosen as it is the smallest accuracy measure offered by the LiDAR sensors used to collect data). In rare cases, to find a proper connectivity between the shorelines, a least-cost path approach (Mitasova et al, 2011;Hardin et al, 2012;Wernette et al, 2018) was utilized.…”

Section: Datummentioning

confidence: 99%

Revealing the Geomorphologic Impacts of Hurricane Ian in Southwest Florida Using Geospatial Technology

Bhatt,

Savarese,

Hewitt

et al. 2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Geospatial data were used to analyze changes to geomorphology of barrier islands and beaches in Southwest Florida resulting from Hurricane Ian in late September 2022. The hurricane generated high intensity winds and storm surge causing more than $112 billion in damages, along with massive sediment mobilization due to erosion and deposition. This study quantified net sediment loss and gain on specific barrier islands by storm surge (Sanibel, Naples, Fort Myers Beach, others, though this paper focuses exclusively on Sanibel) by comparing pre- and post-Ian topography generated by a drone-flown LiDAR sensor; changes in elevation were used to quantify spatial variation in sediment volume. Data were collected immediately after Hurricane Ian and compared against topographic data collected by NOAA in 2018. Digital elevation models (DEMs) were used to compare topography, shoreline positions (relative to Mean High Water), foredune position, and volumetric changes using GIS technology. In general, the shoreline position after Ian changed little, indicating that the incoming surge had little influence on the beach. The foredunes, however, were deflated and set back by surge overwash. The outgoing surge created a much more dramatic geomorphologic change. Erosional surge channels cut through the foredunes and upper beach berm along many regions of the coastline. The ebb erosion also caused extensive damage to physical structures when located immediately behind the foredune. Lastly, this work demonstrates the value of employing GIS and remote sensing technology to problems of beach and dune management, the restoration of coastal ecosystems, the enhancement of resilience capacity of both natural and developed infrastructure, and the development of new policy needed to contend with the effects of climate change.

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“…To date, several different algorithms have been developed for this purpose, which, for example, define the dune toe based on profile curvature (Stockdon et al, 2007) or local relative relief (Wernette et al, 2016). However, a recent study by Wernette et al (2018) that analysed existing approaches for extracting dune toe locations on beach profiles found that there is considerable variation in the performance of these algorithms and expert checking is often required to validate results. Furthermore, these algorithms typically require considerable subjective tuning of their parameters to generate reasonable results (Wernette et al, 2018).…”

Section: Statement Of Needmentioning

confidence: 99%

“…However, a recent study by Wernette et al (2018) that analysed existing approaches for extracting dune toe locations on beach profiles found that there is considerable variation in the performance of these algorithms and expert checking is often required to validate results. Furthermore, these algorithms typically require considerable subjective tuning of their parameters to generate reasonable results (Wernette et al, 2018). While experts can generally identify the dune toe on a beach profile, it is difficult to develop an algorithm that can consistently and reliably define the dune toe for the large variety of beach profile shapes encountered in nature.…”

Section: Statement Of Needmentioning

confidence: 99%

pybeach: A Python package for extracting the location of dune toes on beach profile transects

Beuzen¹

2019

JOSS

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Sandy coastlines typically comprise two key parts: a beach and dune. The beach is the section of sandy coast that is mostly above water (depending upon tide) and actively influenced by waves, while dunes are elevated mounds/ridges of sand at the back of the beach. The interface between the beach and dune is often characterised by a distinct change in ground slope (with the dune having a steeper slope than the beach). Dunes are particularly important along sandy coastlines because they provide a natural barrier to coastal hazards such as storminduced waves and surge. The capacity of sandy dunes to provide coastal hazard protection depends in large part on their geometry. In particular, the location of the dune toe (the transition point between the beach and dune) is a key factor used in coastal erosion models and for assessing coastal vulnerability to hazards (Sallenger, 2000). There are many different algorithms currently available for automatically detecting the dune toe on 2D cross-shore beach profiles. The pybeach package documented herein is motivated by two key aspects: Beuzen, (2019). pybeach: A Python package for extracting the location of dune toes on beach profile transects.

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Defining Dunes: Evaluating How Dune Feature Definitions Affect Dune Interpretations from Remote Sensing

Abstract: BioOne Complete (complete.BioOne.org) is a full-text database of 200 subscribed and open-access titles in the biological, ecological, and environmental sciences published by nonprofit societies, associations, museums, institutions, and presses.

Cited by 28 publications

References 30 publications

Assessing Drivers of Coastal Tundra Retreat at Point Hope, Alaska

Assessing Drivers of Coastal Tundra Retreat at Point Hope, Alaska

Revealing the Geomorphologic Impacts of Hurricane Ian in Southwest Florida Using Geospatial Technology

pybeach: A Python package for extracting the location of dune toes on beach profile transects

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