Paper
22 October 2004 Coastal monitoring with LiDAR: challenges, problems, and pitfalls
David B. Kidner, Malcolm C. Thomas, Charlotte Leigh, J. Robert Oliver, Christopher G. Morgan
Author Affiliations +
Abstract
The National Assembly for Wales (NAW) is responsible for monitoring the effects of dredging for fine aggregate from sandbanks off the coast of South Wales. A key monitoring objective is the analysis of changes to the sandbank bathymetry and the adjacent coastline. This paper reviews the monitoring strategy, with a particular emphasis on the use of laserscanning with LiDAR over the last six years for large-scale topographic beach mapping and analysis. The focus is on the methodologies that were implemented in order to make the data compatible, consistent and usable within a geographical information system (GIS). The issues that are addressed include data handling strategies; automatic error/blunder detection of spurious data; identifying sources of errors; projection and datum transformations; LiDAR artefacts; quality control; choice of digital terrain model and spatial resolution; choice of interpolation algorithm; the calibration of LiDAR surveys to ensure consistency; and LiDAR accuracy compared with land surveys. Some of these issues have proved problematic, which if not correctly resolved, can produce significant application errors, thus reducing confidence in this technology. The paper concludes with some examples of the analyses undertaken to date.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David B. Kidner, Malcolm C. Thomas, Charlotte Leigh, J. Robert Oliver, and Christopher G. Morgan "Coastal monitoring with LiDAR: challenges, problems, and pitfalls", Proc. SPIE 5574, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IV, (22 October 2004); https://doi.org/10.1117/12.565648
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Cited by 7 scholarly publications.
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KEYWORDS
LIDAR

Global Positioning System

Geographic information systems

Data modeling

Mirrors

Profiling

Sensors

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