Use of a three‐dimensional laser scanner to digitally capture the topography of sand dunes in high spatial resolution

Nagihara, S.; Mulligan, Kevin; Xiong, Wei

doi:10.1002/esp.1026

Cited by 64 publications

(37 citation statements)

References 8 publications

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“…Recently, techniques such as digital photogrammetry and laser scanning (e.g., Lane et al, 1994;Barker et al, 1997;Nagihara et al, 2004) can provide the opportunity to define river bank topography at unprecedented spatial resolution (surveys with point densities of ca. 10 7 points across a bank face are readily obtainable using terrestrial laser scanning) and accuracy (72 mm).…”

Section: Erosion Ratementioning

confidence: 99%

9 Modelling river-bank-erosion processes and mass failure mechanisms: progress towards fully coupled simulations

Rinaldi¹,

Darby²

2007

Developments in Earth Surface Processes

127

118

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This paper reviews recent developments in modelling the two main sets of bankerosion processes and mechanisms, namely fluvial erosion and mass failure, before suggesting an avenue for research to make further progress in the future. Our review of mass failure mechanisms reveals that the traditional use of limit equilibrium methods to analyse bank stability has in recent years been supplemented by research that has made progress in understanding and modelling the role of positive and negative pore water pressures, confining river pressures, and hydrograph characteristics. While understanding of both fluvial erosion and mass failure processes has improved in recent years, we identify a key limitation in that few studies have examined the nature of the interaction between these processes. We argue that such interactions are likely to be important in gravel-bed rivers and present new simulations in which fluvial erosion, pore water pressure, and limit equilibrium stability models are combined into a fully coupled analysis. The results suggest that existing conceptual models, which describe how bank materials are delivered to the fluvial sediment transfer system, may need to be revised to account for the unforeseen effects introduced by feedback between the interacting processes.

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Section: Erosion Ratementioning

confidence: 99%

9 Modelling river-bank-erosion processes and mass failure mechanisms: progress towards fully coupled simulations

Rinaldi¹,

Darby²

2007

Developments in Earth Surface Processes

127

118

View full text Add to dashboard Cite

show abstract

“…These difficulties are a limiting factor for ground-based survey methods whenever a high spatial resolution and high quality DSM is required. Among the methods of suitable quality, devoted to the reconstruction of shore regions or dunes morphometry, those based on Global Navigation Satellite Systems (GNSS), total station and Terrestrial Laser Scanning (TLS) have to be mentioned [3][4][5]. GNSS positioning (based on Network or traditional Real Time Kinematic) is fast and accurate, but limited in the number of measurable points.…”

Section: Introductionmentioning

confidence: 99%

Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments

et al. 2013

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Abstract:The availability of high-resolution Digital Surface Models of coastal environments is of increasing interest for scientists involved in the study of the coastal system processes. Among the range of terrestrial and aerial methods available to produce such a dataset, this study tests the utility of the Structure from Motion (SfM) approach to low-altitude aerial imageries collected by Unmanned Aerial Vehicle (UAV). The SfM image-based approach was selected whilst searching for a rapid, inexpensive, and highly automated method, able to produce 3D information from unstructured aerial images. In particular, it was used to generate a dense point cloud and successively a high-resolution Digital Surface Models (DSM) of a beach dune system in Marina di Ravenna (Italy). The quality of the elevation dataset produced by the UAV-SfM was initially evaluated by comparison with point cloud generated by a Terrestrial Laser Scanning (TLS) surveys. Such a comparison served to highlight an average difference in the vertical values of 0.05 m (RMS = 0.19 m). However, although the points cloud comparison is the best approach to investigate the absolute or relative correspondence between UAV and TLS OPEN ACCESSRemote Sens. 2013, 5 6881 methods, the assessment of geomorphic features is usually based on multi-temporal surfaces analysis, where an interpolation process is required. DSMs were therefore generated from UAV and TLS points clouds and vertical absolute accuracies assessed by comparison with a Global Navigation Satellite System (GNSS) survey. The vertical comparison of UAV and TLS DSMs with respect to GNSS measurements pointed out an average distance at cm-level (RMS = 0.011 m). The successive point by point direct comparison between UAV and TLS elevations show a very small average distance, 0.015 m, with RMS = 0.220 m. Larger values are encountered in areas where sudden changes in topography are present. The UAV-based approach was demonstrated to be a straightforward one and accuracy of the vertical dataset was comparable with results obtained by TLS technology.

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“…Applications of remote sensing have proved particularly effective in the delineation of coastal configuration, coastal landforms, and landform changes (Ryu et al, 2002;Maiti and Bhattacharya, 2009) but temporal frequency of images acquisition and/or spatial resolution of images can be limiting. Other techniques like Light Detection And Ranging (LiDAR) or Terrestrial Laser Scanning (TLS) can provide very high resolution and accurate data but are typically expensive (White and Wang, 2003;Nagihara et al, 2004;Letortu et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Accuracy Assessment of Coastal Topography Derived From Uav Images

Long

Millescamps

Pouget

et al. 2016

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

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To monitor coastal environments, Unmanned Aerial Vehicle (UAV) is a low-cost and easy to use solution to enable data acquisition with high temporal frequency and spatial resolution. Compared to Light Detection And Ranging (LiDAR) or Terrestrial Laser Scanning (TLS), this solution produces Digital Surface Model (DSM) with a similar accuracy. To evaluate the DSM accuracy on a coastal environment, a campaign was carried out with a flying wing (eBee) combined with a digital camera. Using the Photoscan software and the photogrammetry process (Structure From Motion algorithm), a DSM and an orthomosaic were produced. Compared to GNSS surveys, the DSM accuracy is estimated. Two parameters are tested: the influence of the methodology (number and distribution of Ground Control Points, GCPs) and the influence of spatial image resolution (4.6 cm vs 2 cm). The results show that this solution is able to reproduce the topography of a coastal area with a high vertical accuracy (< 10 cm). The georeferencing of the DSM require a homogeneous distribution and a large number of GCPs. The accuracy is correlated with the number of GCPs (use 19 GCPs instead of 10 allows to reduce the difference of 4 cm); the required accuracy should be dependant of the research problematic. Last, in this particular environment, the presence of very small water surfaces on the sand bank does not allow to improve the accuracy when the spatial resolution of images is decreased.

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Use of a three‐dimensional laser scanner to digitally capture the topography of sand dunes in high spatial resolution

Cited by 64 publications

References 8 publications

9 Modelling river-bank-erosion processes and mass failure mechanisms: progress towards fully coupled simulations

9 Modelling river-bank-erosion processes and mass failure mechanisms: progress towards fully coupled simulations

Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments

Accuracy Assessment of Coastal Topography Derived From Uav Images

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