Monitoring Intertidal Bars and 3D Coastal Mapping Using an Automatic Algorithm on a Lidar Dataset

Sandy beaches play an important role for economic and recreational activities as well as for coastal protection. Storm impact and recovery involve complex dynamic processes from short to longer-term. These result in a broad range of morphological change which can be assessed from remote sensing such...

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Bibliographic Details
Published in:	2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS pp. 8604 - 8607
Main Authors:	Montreuil, A-L., Chen, M., Moelans, R., Dierckx, W., Houthuys, R., Klein, A. Pintor, Bogaert, P.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 11-07-2021
Subjects:	Belgian coast Biological system modeling Coastal morphology digital surface model Hazards Laser radar Predictive models Python program Sea measurements storm Storms Surface morphology
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Summary:	Sandy beaches play an important role for economic and recreational activities as well as for coastal protection. Storm impact and recovery involve complex dynamic processes from short to longer-term. These result in a broad range of morphological change which can be assessed from remote sensing such as airborne LiDAR (Light Detecting and Ranging) system. This study monitors the response and recovery of a sandy multi-barred beach after a severe storm. A new algorithm for automated bar extraction developed in Python is applied to the digital surface models of pre-, immediately after storm and 2 months after the event. The severe storm from 8-12/02/2020 caused erosion of the backshore and dunefoot as well as a significant re-arrangement of the intertidal bar-through system. The findings are of critical importance in improving our knowledge as well as forecasting coastal evolution and future hazards.
ISSN:	2153-7003
DOI:	10.1109/IGARSS47720.2021.9553919