Using LIDAR to Monitor a Beach Nourishment Project at Wrightsville Beach, North Carolina, USA

Garès, Paul A.; Yong, Wang; White, Stephen

doi:10.2112/06a-0003.1

Cited by 54 publications

(42 citation statements)

References 8 publications

(9 reference statements)

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“…They prefer to use the isohypse at the highest tidal position (datum-based shoreline) as it would be more reliable for beach profile changes. This 3D information is normally obtained by GNSS mapping (Global Navigation Satellite System) [9,10], LiDAR [11][12][13][14] or TLS [15] (Terrestrial Laser Scanner). These 3D resources may offer high accuracy data: up to 5 cm (horizontal and vertical) on differential GNSS surveys; and up to 10 cm (horizontal) and 20 cm (vertical) depending on each of the LiDAR flight demands.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Accuracy of Automatically Extracted Shorelines on Microtidal Beaches from Landsat 7, Landsat 8 and Sentinel-2 Imagery

et al. 2018

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This paper evaluates the accuracy of shoreline positions obtained from the infrared (IR) bands of Landsat 7, Landsat 8, and Sentinel-2 imagery on natural beaches. A workflow for sub-pixel shoreline extraction, already tested on seawalls, is used. The present work analyzes the behavior of that workflow and resultant shorelines on a micro-tidal (<20 cm) sandy beach and makes a comparison with other more accurate sets of shorelines. These other sets were obtained using differential GNSS surveys and terrestrial photogrammetry techniques through the C-Pro monitoring system. 21 sub-pixel shorelines and their respective high-precision lines served for the evaluation. The results prove that NIR bands can easily confuse the shoreline with whitewater, whereas SWIR bands are more reliable in this respect. Moreover, it verifies that shorelines obtained from bands 11 and 12 of Sentinel-2 are very similar to those obtained with bands 6 and 7 of Landsat 8 (−0.75 ± 2.5 m; negative sign indicates landward bias). The variability of the brightness in the terrestrial zone influences shoreline detection: brighter zones cause a small landward bias. A relation between the swell and shoreline accuracy is found, mainly identified in images obtained from Landsat 8 and Sentinel-2. On natural beaches, the mean shoreline error varies with the type of image used. After analyzing the whole set of shorelines detected from Landsat 7, we conclude that the mean horizontal error is 4.63 m (±6.55 m) and 5.50 m (±4.86 m), respectively, for high and low gain images. For the Landsat 8 and Sentinel-2 shorelines, the mean error reaches 3.06 m (±5.79 m).

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Section: Introductionmentioning

confidence: 99%

Assessing the Accuracy of Automatically Extracted Shorelines on Microtidal Beaches from Landsat 7, Landsat 8 and Sentinel-2 Imagery

et al. 2018

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“…While this approach can provide accurate and tide-controlled (i.e., collected at a certain tide level) shorelines, it is time consuming, requires user expertise, and is restricted in availability. More recently, airborne laser scanning has also been applied to monitor coastal dynamics [11][12][13] and delineate water areas [14]. When employed at low tide, airborne laser scanning allows for development of a high-resolution digital elevation model of the entire beach at the time of acquisition, from which shorelines can be derived.…”

Section: Introductionmentioning

confidence: 99%

Semi-Automated Monitoring of a Mega-Scale Beach Nourishment Using High-Resolution TerraSAR-X Satellite Data

et al. 2017

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This paper presents a semi-automated approach to detecting coastal shoreline change with high spatial-and temporal-resolution using X-band synthetic aperture radar (SAR) data. The method was applied at the Sand Motor, a "mega-scale" beach nourishment project in the Netherlands. Natural processes, like waves, wind, and tides, gradually distribute the highly concentrated sand to adjacent beaches. Currently, various in-situ techniques are used to monitor the Sand Motor on a monthly basis. Meanwhile, the TerraSAR-X satellite collects two high-resolution (3 × 3 m), cloud-penetrating SAR images every 11 days. This study investigates whether shorelines detected in TerraSAR-X imagery are accurate enough to monitor the shoreline dynamics of a project like the Sand Motor. The study proposes and implements a semi-automated workflow to extract shorelines from all 182 available TerraSAR-X images acquired between 2011 and 2014. The shorelines are validated using bi-monthly RTK-GPS topographic surveys and nearby wave and tide measurements. A valid shoreline could be extracted from 54% of the images. The horizontal accuracy of these shorelines is approximately 50 m, which is sufficient to assess the larger scale shoreline dynamics of the Sand Motor. The accuracy is affected strongly by sea state and partly by acquisition geometry. We conclude that using frequent, high-resolution TerraSAR-X imagery is a valid option for assessing coastal dynamics on the order of tens of meters at approximately monthly intervals.

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“…He asserts that we are premature in our statement that LIDAR is a superior method to beach profiles; however, results from our study expand upon the findings of many other workers who have examined the utility of LIDAR in measuring beach changes (Gares, Wang, and White, 2006;Mitasova et al, 2004;Sallenger et al, 2003;White and Wang, 2003). Airborne LIDAR, terrestrial laser scanning, and multibeam bathymetry are superior tools over two-dimensional beach profiles spaced .1 km apart on which to base calculations of volume change, especially when volume change needs to be quantified over a short time period.…”

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confidence: 48%

Reply to: Rudolph, G.L., 2012. Discussion of: Theuerkauf, E.J. and Rodriguez, A.B., 2012. Impacts of Transect Location and Variations in Along-Beach Morphology on Measuring Volume Change.Journal of Coastal Research, 28(3), 707–718;Journal of Coastal Research, 28(6), 1654–1656

Theuerkauf¹,

Rodriguez²

2012

Journal of Coastal Research

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Using LIDAR to Monitor a Beach Nourishment Project at Wrightsville Beach, North Carolina, USA

Cited by 54 publications

References 8 publications

Assessing the Accuracy of Automatically Extracted Shorelines on Microtidal Beaches from Landsat 7, Landsat 8 and Sentinel-2 Imagery

Assessing the Accuracy of Automatically Extracted Shorelines on Microtidal Beaches from Landsat 7, Landsat 8 and Sentinel-2 Imagery

Semi-Automated Monitoring of a Mega-Scale Beach Nourishment Using High-Resolution TerraSAR-X Satellite Data

Reply to: Rudolph, G.L., 2012. Discussion of: Theuerkauf, E.J. and Rodriguez, A.B., 2012. Impacts of Transect Location and Variations in Along-Beach Morphology on Measuring Volume Change.Journal of Coastal Research, 28(3), 707–718;Journal of Coastal Research, 28(6), 1654–1656

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