Quantifying vegetation and its effect on aeolian sediment transport: A UAS investigation on longitudinal dunes

Shumack, Samuel; Farebrother, Will; Hesse, Paul

doi:10.1016/j.aeolia.2021.100768

Cited by 7 publications

(6 citation statements)

References 78 publications

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“…Conversely, a lower ρ veg resulted in sediment spread over a wider cross-shore area and a lower maximum height of sediment deposition than a higher ρ veg (Figure 11). These model results are consistent with field observations that have demonstrated that sparse dune vegetation allows more sand to be transported landward [60]. We overall found that vegetation gradient cases led to a greater distance of deposition from the dune toe (Figure 11a), while uniform vegetation cases led to a greater deposition height (Figure 11b).…”

Section: Ecological Controlssupporting

confidence: 90%

Exploring Ecological, Morphological, and Environmental Controls on Coastal Foredune Evolution at Annual Scales Using a Process-Based Model

Heminway,

Cohn,

Davis

et al. 2024

Sustainability

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Coastal communities commonly rely upon foredunes as the first line of defense against sea-level rise and storms, thus requiring management guidance to optimize their protective services. Here, we use the AeoLiS model to simulate wind-driven accretion and wave-driven erosion patterns on foredunes with different morphologies and ecological properties under modern-day conditions. Additional sets of model runs mimic potential future climate changes to inform how both morphological and ecological properties may have differing contributions to net dune changes under evolving environmental forcing. This exploratory study, applied to represent the morphological, environmental, and ecological conditions of the northern Outer Banks, North Carolina, USA, finds that dunes experiencing minimal wave collision have similar net volumetric growth rates regardless of beach morphology, though the location and density of vegetation influence sediment deposition patterns across the dune profile. The model indicates that high-density, uniform planting strategies trap sediment close to the dune toe, whereas low-density plantings may allow for accretion across a broader extent of the dune face. The initial beach and dune shape generally plays a larger role in annual-scale dune evolution than vegetation cover. For steeper beach slopes and/or low dune toe elevations, the model generally predicts wave-driven dune erosion at the annual scale.

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Section: Ecological Controlssupporting

confidence: 90%

Exploring Ecological, Morphological, and Environmental Controls on Coastal Foredune Evolution at Annual Scales Using a Process-Based Model

Heminway,

Cohn,

Davis

et al. 2024

Sustainability

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“…This makes ground cover data difficult to interpret, although still measurable as whole. Our method has considerable potential for deriving more largescale landscape estimates of vegetation cover in the arid zone by linking drone imagery data and analysis to satellite imagery over temporal scales using reproducible, repeatable and transferrable code‐based methods, building on the work of other colleagues in the field (Shumack et al., 2021; Shumack et al., 2022). Seemingly uniquely, our study classifies to species‐level groupings rather than functional groups for some important Australian rangeland species.…”

Section: Discussionmentioning

confidence: 99%

Tracking landscape scale vegetation change in the arid zone by integrating ground, drone and satellite data

Francis,

Kingsford,

Moseby

et al. 2023

Remote Sens Ecol Conserv

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A combined multiscale approach using ground, drone and satellite surveys can provide accurate landscape scale spatial mapping and monitoring. We used field observations with drone collected imagery covering 70 ha annually for a 5‐year period to estimate changes in living and dead vegetation of four widespread and abundant arid zone woody shrub species. Random forest classifiers delivered high accuracy (> 95%) using object‐based detection methods, with fast repeatable and transferrable processing using Google Earth Engine. Our classifiers performed well in both dominant arid zone landscape types: dune and swale, and at extremes of dry and wet years with minimal alterations. This highlighted the flexibility of the approach, potentially delivering insights into changes in highly variable environments. We also linked this classified drone vegetation to available temporally and spatially explicit Landsat satellite imagery, training a new, more accurate fractional vegetation cover model, allowing for accurate tracking of vegetation responses at large scales in the arid zone. Our method promises considerable opportunity to track vegetation dynamics including responses to management interventions, at large geographic scales, extending inference well beyond ground surveys.

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“…In recent years, an increase in employment of Unmanned Aerial Vehicles (UAVs) in environmental research has been observed (Xiang et al, 2019;Xing et al, 2019). Relevant examples include: hydrological research (Vélez-Nicolás et al, 2021) and transport of aeolian sediments (Shumack et al, 2022). UAVs and remote sens-ing techniques allow for the collection of more data in less time than in-situ techniques (Luo et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Selected methods for determining inconclusively identifiable shorelines of watercourses and lakes

Borkowski,

Młynarczyk,

Plichta

et al. 2024

Reports on Geodesy and Geoinformatics

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The determination of a lake or natural watercourse shoreline is the subject of various administrative proceedings relating to, among others, the engineering of riverbeds, construction of hydro-technical facilities, remediation work, land division, or delimitation of parcels. The provisions of law, while laying out the rules for determining shorelines, do not explicitly specify the measurement method to follow. All the more so, as many shores of lakes and watercourses are among terrain details that are difficult to measure due to their varied accessibility, which depends on the terrain, vegetation, and water conditions. The purpose of this paper is to compare selected methods for determining the shoreline of watercourses and lakes in terms of their applicability under different environmental conditions under current legislation. This study comprises an assessment of the suitability of the applied methods of shoreline measurement under varying field conditions and their applicability in surveying work on shoreline determination. Surveys were conducted on 3 reservoirs and one watercourse using geodetic, photogrammetric, and remote sensing techniques, and the suitability of the various methods was evaluated with respect to the field conditions of the measurements.

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Quantifying vegetation and its effect on aeolian sediment transport: A UAS investigation on longitudinal dunes

Cited by 7 publications

References 78 publications

Exploring Ecological, Morphological, and Environmental Controls on Coastal Foredune Evolution at Annual Scales Using a Process-Based Model

Exploring Ecological, Morphological, and Environmental Controls on Coastal Foredune Evolution at Annual Scales Using a Process-Based Model

Tracking landscape scale vegetation change in the arid zone by integrating ground, drone and satellite data

Selected methods for determining inconclusively identifiable shorelines of watercourses and lakes

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