Continuous Monitoring of a Nearshore Berm Placement at New Smyrna Beach, Fl via Coastal Imagery

Bruder, Brittany; Brodie, Katherine L.; Spore, Nicholas J.; Renaud, Alexander D.; Hodgens, Kevin C.

doi:10.1142/9789811204487_0209

Cited by 2 publications

(3 citation statements)

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“…Rapidly deployable mini-Argus camera systems can support nearshore nourishment projects if there is a tall building or structure that allows for the installation of cameras. The mini-Argus system that was deployed to monitor the hydrodynamics and shoreline response to the nearshore berm construction and post construction response at New Smyrna, FL (Bruder et al 2019), is shown in Figure 3. The cameras were installed on the rooftop of a nearby building.…”

Section: Hydrodynamic Conditions and Expected Sediment Transport Directionmentioning

confidence: 99%

Metrics of Success for Nearshore Nourishment Projects Constructed with Dredged Sediment

McFall¹,

Krafft²,

McCaw³

et al. 2021

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Section: Hydrodynamic Conditions and Expected Sediment Transport Directionmentioning

confidence: 99%

Metrics of Success for Nearshore Nourishment Projects Constructed with Dredged Sediment

McFall¹,

Krafft²,

McCaw³

et al. 2021

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“…Quantitative coastal imaging has been demonstrated to provide useful, low-cost observations of the evolution of coastal project sites (Bruder et al 2019a;Bruder et al 2019b;Onnink 2020). Using photogrammetry, traditional oblique imagery (i.e., Figure 1a) can be transformed into map coordinates with real-world length scales in georectifications (i.e., Figure 1b) with a suite of camera-calibration parameters.…”

Section: Introductionmentioning

confidence: 99%

“…Coastal imagery can be collected via a variety of modalities, including dedicated high-accuracy coastal imaging stations (e.g., Holman and Stanley 2007;Bruder et al 2019b), drones (e.g., Brodie et al 2019), satellites (Luijendijk et al 2018;Vos et al 2019), and action cameras (Drummond et al 2022). Each collection modality is suited to differentuse cases with different accuracies and product libraries.…”

Section: Introductionmentioning

confidence: 99%

Applicability of CoastSnap, a crowd-sourced coastal monitoring approach for US Army Corps of Engineers district use

Conery,

Bruder,

Geis

et al. 2023

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This US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, technical report details the pilot deployment, accuracy evaluation, and best practices of the citizen-science, coastal-image monitoring program CoastSnap. Despite the need for regular observational data, many coastlines are monitored infrequently due to cost and personnel, and this cell phone-image-based approach represents a new potential data source to districts in addition to providing an outreach opportunity for the public. Requiring minimal hardware and signage, the system is simple to install but requires user-image processing. Analysis shows the CoastSnap-derived shorelines compare well to real-time kinematic and lidar-derived shorelines during low-to-moderate wave conditions (root mean square errors [RMSEs] <10 m). During high-wave conditions, errors are higher (RMSE up to 18 m) but are improved when incorporating wave run-up. Beyond shoreline quantification, images provide other qualitative information such as storm-impact characteristics and timing of the formation of beach scarps. Ultimately, the citizen-science tool is a viable low-cost option to districts for monitoring shorelines and tracking the evolution of coastal projects such as beach nourishments.

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Continuous Monitoring of a Nearshore Berm Placement at New Smyrna Beach, Fl via Coastal Imagery

Cited by 2 publications

References 0 publications

Metrics of Success for Nearshore Nourishment Projects Constructed with Dredged Sediment

Metrics of Success for Nearshore Nourishment Projects Constructed with Dredged Sediment

Applicability of CoastSnap, a crowd-sourced coastal monitoring approach for US Army Corps of Engineers district use

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