Effective LiDAR-based modelling and visualisation of managed retreat scenarios for coastal planning: An example from the southern UK

Krolik-Root, Charles; Stansbury, David L.; Burnside, Niall

doi:10.1016/j.ocecoaman.2015.06.013

Cited by 15 publications

(8 citation statements)

References 41 publications

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“…Furthermore, the ability to combine point cloud data, revealing the complex spatial patterns of sand redistribution (both on beaches and in the near-shore environment), is recognised as essential in attempts to represent adequately the evolution of coastal processes (Mitasova, 2015;Mitasova et al, 2002). Traditional techniques relying on manual interpretation and digitisation (Seker et al, 2003), can prove efficient in summarising change rates on a larger scale, yet can omit important site-specific details (Earlie et al, 2015;Krolik-Root et al, 2015). A number of common GIS-based analysis techniques such as the Digital Shoreline Analysis System (DSAS) (Appeaning Addo et al, 2008;Thieler et al, 2009) and AMBUR (Jackson et al, 2012), also involve manual shoreline digitisation.…”

Section: Monitoring the Coast Beaches And Cliffsmentioning

confidence: 99%

“…TIN models incorporate the original data points, limiting interpolation to areas between these (Aragonés et al, 2016;Dawson and Smithers, 2010). This method encompasses 'modelling the surface as a collection of small (triangular) planes' (Cantrill and Kruimel, 2013) and can account for irregular and complex geometries, and micro-topographical irregularities (Krolik-Root et al, 2015), for which a regular gridded surface proves inadequate. TIN models can also prove beneficial in allowing complex topographic surfaces with varying levels of spatial variability to be described (Gorman et al, 1998).…”

Section: Surface Creationmentioning

confidence: 99%

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The application of data innovations to geomorphological impact analyses in coastal areas: An East Anglia, UK, case study

Rumson

Hallett

Brewer

2019

Ocean & Coastal Management

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Rapidly advancing surveying technologies, capable of generating high resolution bathymetric and topographic data, allow precise measurements of geomorphological change and deformation. This permits great accuracy in the characterisation of volumetric change, sediment and debris flows, accumulations and erosion rates. However, such data can be utilised inadequately by coastal practitioners in their assessments of coastal change, due to a lack of awareness of the appropriate analytical techniques and the potential benefits offered by such data-driven approaches. This was found to be the case for the region of East Anglia, UK, which was analysed in this study. This paper evaluates the application of innovative geomorphological change detection (GCD) techniques for analysis of coastal change. The first half of the paper contains an extensive review of GCD methods and data sources used in previous studies. This leads to the selection and recommendation of an appropriate methodology for calculation of volumetric GCD, which has been subsequently applied and evaluated for 14 case study sites in East Anglia. This has involved combining open source point cloud datasets for broad spatial scales, covering an extended temporal period. The results comprise quantitative estimates of volumetric change for selected locations. This allows estimation of the sediment budgets for each stretch of coastline focused upon, revealing fluctuations in their rates of change. These quantitative results were combined with qualitative outputs, such as visual representations of change and we reveal how combining such methods assists identification of patterns and impacts linked to specific events. The study demonstrates how high-resolution point cloud data, which is now readily available, can be used to better inform coastal management practices, revealing trends, impacts and vulnerability in dynamic coastal regions. The results also indicate heterogeneous impacts of events, such as the 2013 East Coast Storm Surge, across the study area of East Anglia.

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Section: Monitoring the Coast Beaches And Cliffsmentioning

confidence: 99%

Section: Surface Creationmentioning

confidence: 99%

The application of data innovations to geomorphological impact analyses in coastal areas: An East Anglia, UK, case study

Rumson

Hallett

Brewer

2019

Ocean & Coastal Management

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“…Furthermore, through the use of separate control points in model construction and as an independent check, the quality of the model can be assessed; an option not available using just dGPS measurements. The DSM produced is also at a higher, more suitable, resolution than standard remote sensing techniques, such as LiDAR, which have previously been used in the design and prediction of ecological response to MR schemes (e.g., Blott and Pye 2004;Millard et al 2013;Krolik-Root et al 2015), increasing the likelihood that small (but important) changes in elevation will be captured. This technique could, therefore, be utilised to provide a more detailed understanding of how creek features develop within intertidal wetland environments.…”

Section: The Suitability Of Suas Technology For Measuring Embryonic Cmentioning

confidence: 99%

The evolution of embryonic creek systems in a recently inundated large open coast managed realignment site

Dale

Burgess

Burnside

et al. 2018

Anthropocene Coasts

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Managed realignment (MR) schemes are being implemented to compensate for the degradation of coastal habitats. However, evidence suggests that MR sites have lower biodiversity than anticipated, which has been linked to poor drainage. Despite creek networks playing an important role in enhancing site drainage in natural intertidal environments, there remains a shortage of data on the formation and evolution of creeks within MR sites. This study evaluates creek development at the Medmerry Managed Realignment Site, UK. Creek development is investigated using differential global positioning system (dGPS) data, supported by sedimentological analyses and a high-resolution digital surface model (DSM) derived from images taken using a small unmanned aerial vehicle. Measurements indicated that creeks will develop relatively quickly, but are influenced by differences in the sub-surface sedimentological conditions. A suitable level of agreement was found between the DSM and dGPS measurements, demonstrating the appropriateness of this method to study creek development within intertidal environments at a higher resolution than traditional surveying techniques. These results are used to propose the collapse of sub-surface piping as the primary creek formation mechanism. Findings are discussed in terms of increasing the success of MR schemes and enhancing site design to maximise the ecosystem services provided.

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“…LiDAR technology is very useful for the characterisation, quantification and monitoring of coastal environments (Chust et al 2008;Krolik-root et al 2015;Mitasova et al 2010) particularly for saltmarshes, where subtle variations in micro-topography can be crucial for determining spatial patterns in vegetation distribution and edaphic factors (e.g., oxygen and moisture). LiDAR data has been employed in saltmarsh research for purposes such as wetland characterisation (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Under the physical limitations mentioned previously, LiDAR-derived DTMs covering saltmarshes are generally not accurate enough to distinguish topographic structure at the resolution that is used to determine tidal flooding or vegetation patterns (Hladik and Alber 2012;Krolik-root et al 2015). Thus, a corrected DTM becomes essential for certain applications (e.g.…”

Section: Introductionmentioning

confidence: 99%

Improving accuracy of LiDAR-derived digital terrain models for saltmarsh management

2017

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Accurate digital elevation models of saltmarshes are crucial for both conservation and management goals. Light detection and ranging (LiDAR) is increasingly used for topographic surveys due to the ability to acquire high resolution data over spatially-extensive areas. This capability is ideally suited to saltmarsh environments, which are often vast, inaccessible systems where topographic variations can be very subtle. Derivation of surface (DSMs) (ground elevation plus vegetation) versus terrain (bare ground elevation) models (DTMs) relies on the ability of the LiDAR sensor to accurately record multiple returns. In saltmarshes however, the dense stands of low (< 1 m) vegetation commonly found precludes the acquisition of more than one return, and the resulting DTM is not different to the DSM. Establishing the offset between ground and vegetation surface in order to correct the LiDAR-derived DTM can be challenging due to the spatial variability in saltmarsh habitats. Here we show the development and application of a habitat-specific correction factor (HSCF) for the Odiel Saltmarshes using a combination of habitat object-based classification (82% overall accuracy) and ground control surveys that reduces the DTM error to within that associated with the LiDAR sensor (average error 0.1 m). We also show that the true accuracy of supplied (unmodified) DTMs can be >0.5 m in saltmarshes dominated by dense vegetation such as Spartina densiflora. In particular, global projections of sea-level rise across the next 80 years (0.18-0.59 m) significantly overlaps this accuracy margin, implying that assessments and modelling of sea-level impacts in saltmarsh systems will likely be erroneous if based on Lidar-derived DTMs. Erroneous assumptions and conclusions can result if the real accuracy of DTMs (bare ground) on vegetated saltmarshes is not considered, and the consequences of the propagation of this misinformation through to management decisions should not be overlooked .

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Effective LiDAR-based modelling and visualisation of managed retreat scenarios for coastal planning: An example from the southern UK

Cited by 15 publications

References 41 publications

The application of data innovations to geomorphological impact analyses in coastal areas: An East Anglia, UK, case study

The application of data innovations to geomorphological impact analyses in coastal areas: An East Anglia, UK, case study

The evolution of embryonic creek systems in a recently inundated large open coast managed realignment site

Improving accuracy of LiDAR-derived digital terrain models for saltmarsh management

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