Airborne laser scanning for riverbank erosion assessment

Thoma, David P.; Gupta, Satish C.; Bauer, Marvin E.; Kirchoff, C.E.

doi:10.1016/j.rse.2005.01.012

Cited by 182 publications

(154 citation statements)

References 13 publications

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“…and 8000 m 3 /year. The volume obtained ranges from 11.8% to 21% of the mean yearly siltation in the Campo dam, which is considered a reasonable value according to Thoma et al [12] and De Rose and Basher [14]. Therefore, it is evident that bank erosion cannot be considered a secondary process and deserves deeper studies.…”

Section: Discussionmentioning

confidence: 62%

“…This tool is characterized by a relatively low cost but provides only a punctual estimation of the erosion rate. Even if in literature there is an attempt to relate morphology activity rate (mm/year) through manual monitoring of erosion pins [39], the prediction and measurements of the erosion rate as well as the timing of its occurrence require alternative tools [12]. The increasing use of remote sensing in this field is promising.…”

Section: State Of the Art For Monitoring Bank Erosionmentioning

confidence: 99%

“…Among the aforementioned sediment sources, riverbank erosion is considered a rather significant process in the context of fluvial dynamics as it involves a considerable fraction of the total sediment yield being supplied by riverbanks although its contribution varies between rivers [12][13][14][15]. Riverbank erosion may be caused by different phenomena, occurring with differing magnitudes and frequencies [16,17].…”

Section: Introductionmentioning

confidence: 99%

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Monitoring Riverbank Erosion in Mountain Catchments Using Terrestrial Laser Scanning

et al. 2016

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Sediment yield is a key factor in river basins management due to the various and adverse consequences that erosion and sediment transport in rivers may have on the environment. Although various contributions can be found in the literature about sediment yield modeling and bank erosion monitoring, the link between weather conditions, river flow rate and bank erosion remains scarcely known. Thus, a basin scale assessment of sediment yield due to riverbank erosion is an objective hard to be reached. In order to enhance the current knowledge in this field, a monitoring method based on high resolution 3D model reconstruction of riverbanks, surveyed by multi-temporal terrestrial laser scanning, was applied to four banks in Val Tartano, Northern Italy. Six data acquisitions over one year were taken, with the aim to better understand the erosion processes and their triggering factors by means of more frequent observations compared to usual annual campaigns. The objective of the research is to address three key questions concerning bank erosion: "how" erosion happens, "when" during the year and "how much" sediment is eroded. The method proved to be effective and able to measure both eroded and deposited volume in the surveyed area. Finally an attempt to extrapolate basin scale volume for bank erosion is presented.

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Section: Discussionmentioning

confidence: 62%

Section: State Of the Art For Monitoring Bank Erosionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Monitoring Riverbank Erosion in Mountain Catchments Using Terrestrial Laser Scanning

et al. 2016

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“…After the integration of a scanning mechanism with lidar and an inertial measurements unit with GPS in the early 1990s, it has been possible to use first airborne laser scanning (ALS), then MLS data, in addition to static based terrestrial laser scanning (TLS), to improve the measurement and modeling of fluvial environments (e.g., [2][3][4][5][6][7][8][9][10][11][12]). High-resolution ALS provides detailed information on topographical features of fluvial environments that influence the river hydraulics, giving, therefore, the potential to improve existing hydraulic models (e.g., [13][14][15][16][17]).…”

Section: Introductionmentioning

confidence: 99%

Mapping Topography Changes and Elevation Accuracies Using a Mobile Laser Scanner

et al. 2011

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Laser measurements have been used in a fluvial context since 1984, but the change detection possibilities of mobile laser scanning (MLS) for riverine topography have been lacking. This paper demonstrates the capability of MLS in erosion change mapping on a test site located in a 58 km-long tributary of the River Tenojoki (Tana) in the sub-arctic. We used point bars and river banks as example cases, which were measured with the mobile laser scanner ROAMER mounted on a boat and on a cart. Static terrestrial laser scanner data were used as reference and we exploited a difference elevation model technique for describing erosion and deposition areas. The measurements were based on data acquisitions during the late summer in 2008 and 2009. The coefficient of determination (R 2 ) of 0.93 and a standard deviation of error 3.4 cm were obtained as metrics for change mapping based on MLS. The root mean square error (RMSE) of MLS-based digital elevation models (DEM) for non-vegetated point bars ranged between 2.3 and 7.6 cm after correction of the systematic error. For densely vegetated bank areas, the ground point determination was more difficult resulting in an RMSE between 15.7 and 28.4 cm. OPEN ACCESSRemote Sens. 2011, 3 588

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“…Surface water mapping is also essential in many applications such as monitoring of river corridor for natural hazard management (e.g. French, 2003;Brügelmann and Bollweg, 2004;Hollaus et al, 2005), surveying geomorphological change of floodplains (Thoma et al, 2005, Jones et al, 2007 and to improve understanding of wetland dynamics (Jenkins and Frazier, 2010).…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for Automation of 3d Hydro Break Line Generation From Lidar Data Using Matlab

Toscano

Gopalam

Devarajan

2013

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

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ABSTRACT:Water body detection is necessary to generate hydro break lines, which are in turn useful in creating deliverables such as TINs, contours, DEMs from LiDAR data. Hydro flattening follows the detection and delineation of water bodies (lakes, rivers, ponds, reservoirs, streams etc.) with hydro break lines. Manual hydro break line generation is time consuming and expensive. Accuracy and processing time depend on the number of vertices marked for delineation of break lines. Automation with minimal human intervention is desired for this operation. This paper proposes using a novel histogram analysis of LiDAR elevation data and LiDAR intensity data to automatically detect water bodies. Detection of water bodies using elevation information was verified by checking against LiDAR intensity data since the spectral reflectance of water bodies is very small compared with that of land and vegetation in near infra-red wavelength range. Detection of water bodies using LiDAR intensity data was also verified by checking against LiDAR elevation data. False detections were removed using morphological operations and 3D break lines were generated. Finally, a comparison of automatically generated break lines with their semi-automated/manual counterparts was performed to assess the accuracy of the proposed method and the results were discussed.

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Airborne laser scanning for riverbank erosion assessment

Cited by 182 publications

References 13 publications

Monitoring Riverbank Erosion in Mountain Catchments Using Terrestrial Laser Scanning

Monitoring Riverbank Erosion in Mountain Catchments Using Terrestrial Laser Scanning

Mapping Topography Changes and Elevation Accuracies Using a Mobile Laser Scanner

A Novel Method for Automation of 3d Hydro Break Line Generation From Lidar Data Using Matlab

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