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Continuous Coastal Monitoring with an Automated Terrestrial Lidar Scanner

School of Civil & Construction Engineering, Oregon State University, 101 Kearney Hall, Corvallis, OR 97331, USA
Coastal and Hydraulics Laboratory, U.S. Army Engineer Research and Development Center, 1261 Duck Road, Duck, NC 27949, USA
Department of Civil and Environmental Engineering, Geosensing Systems Engineering and Sciences Program, University of Houston, 5000 Gulf Freeway, Houston, TX 77204, USA
Authors to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2019, 7(2), 37;
Received: 3 January 2019 / Revised: 26 January 2019 / Accepted: 29 January 2019 / Published: 7 February 2019
(This article belongs to the Special Issue Application of Remote Sensing Methods to Monitor Coastal Zones)
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This paper details the collection, geo-referencing, and data processing algorithms for a fully-automated, permanently deployed terrestrial lidar system for coastal monitoring. The lidar is fixed on a 4-m structure located on a shore-backing dune in Duck, North Carolina. Each hour, the lidar collects a three-dimensional framescan of the nearshore region along with a 30-min two-dimensional linescan time series oriented directly offshore, with a linescan repetition rate of approximately 7 Hz. The data are geo-referenced each hour using a rigorous co-registration process that fits 11 fixed planes to a baseline scan to account for small platform movements, and the residual errors from the fit are used to assess the accuracy of the rectification. This process decreased the mean error (defined as the magnitude of the offset in three planes) over a two-year period by 24.41 cm relative to using a fixed rectification matrix. The automated data processing algorithm then filters and grids the data to generate a dry-beach digital elevation model (DEM) from the framescan along with hourly wave runup, hydrodynamic, and morphologic statistics from the linescan time series. The lidar has collected data semi-continuously since January 2015 (with gaps occurring while the lidar was malfunctioning or being serviced), resulting in an hourly data set spanning four years as of January 2019. Examples of data products and potential applications spanning a range of spatial and temporal scales relevant to coastal processes are discussed. View Full-Text
Keywords: coastal monitoring; terrestrial lidar; continuous remote sensing; coastal morphodynamics coastal monitoring; terrestrial lidar; continuous remote sensing; coastal morphodynamics

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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O’Dea, A.; Brodie, K.L.; Hartzell, P. Continuous Coastal Monitoring with an Automated Terrestrial Lidar Scanner. J. Mar. Sci. Eng. 2019, 7, 37.

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J. Mar. Sci. Eng. EISSN 2077-1312 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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