Autonomous Lidar-Based Monitoring of Coastal Lagoon Entrances

Intermittently closed and open lakes or Lagoons (ICOLLs) are characterised by entrance barriers that form or break down due to the action of wind, waves and currents until the ocean-lagoon exchange becomes discontinuous. Entrance closure raises a variety of management issues that are regulated by mo...

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Main Authors: Bilal Arshad, Johan Barthelemy, Pascal Perez
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/7/1320
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author Bilal Arshad
Johan Barthelemy
Pascal Perez
author_facet Bilal Arshad
Johan Barthelemy
Pascal Perez
author_sort Bilal Arshad
collection DOAJ
description Intermittently closed and open lakes or Lagoons (ICOLLs) are characterised by entrance barriers that form or break down due to the action of wind, waves and currents until the ocean-lagoon exchange becomes discontinuous. Entrance closure raises a variety of management issues that are regulated by monitoring. In this paper, those issues are investigated, and an automated sensor solution is proposed. Based upon a static Lidar paired with an edge computing device. This solar-powered remote sensing device provides an efficient way to automatically survey the lagoon entrance and estimate the berm profile. Additionally, it estimates the dry notch location and its height, critical factors in the management of the lagoon entrances. Generated data provide valuable insights into landscape evolution and berm behaviour during natural and mechanical breach events.
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spelling doaj.art-dcd00cde156343efbb0c84765efb7ddc2023-11-21T13:28:40ZengMDPI AGRemote Sensing2072-42922021-03-01137132010.3390/rs13071320Autonomous Lidar-Based Monitoring of Coastal Lagoon EntrancesBilal Arshad0Johan Barthelemy1Pascal Perez2SMART Infrastructure Facility, University of Wollongong, Wollongong, NSW 2522, AustraliaSMART Infrastructure Facility, University of Wollongong, Wollongong, NSW 2522, AustraliaSMART Infrastructure Facility, University of Wollongong, Wollongong, NSW 2522, AustraliaIntermittently closed and open lakes or Lagoons (ICOLLs) are characterised by entrance barriers that form or break down due to the action of wind, waves and currents until the ocean-lagoon exchange becomes discontinuous. Entrance closure raises a variety of management issues that are regulated by monitoring. In this paper, those issues are investigated, and an automated sensor solution is proposed. Based upon a static Lidar paired with an edge computing device. This solar-powered remote sensing device provides an efficient way to automatically survey the lagoon entrance and estimate the berm profile. Additionally, it estimates the dry notch location and its height, critical factors in the management of the lagoon entrances. Generated data provide valuable insights into landscape evolution and berm behaviour during natural and mechanical breach events.https://www.mdpi.com/2072-4292/13/7/1320coastal monitoringestuariesIoTlidarremote sensing
spellingShingle Bilal Arshad
Johan Barthelemy
Pascal Perez
Autonomous Lidar-Based Monitoring of Coastal Lagoon Entrances
Remote Sensing
coastal monitoring
estuaries
IoT
lidar
remote sensing
title Autonomous Lidar-Based Monitoring of Coastal Lagoon Entrances
title_full Autonomous Lidar-Based Monitoring of Coastal Lagoon Entrances
title_fullStr Autonomous Lidar-Based Monitoring of Coastal Lagoon Entrances
title_full_unstemmed Autonomous Lidar-Based Monitoring of Coastal Lagoon Entrances
title_short Autonomous Lidar-Based Monitoring of Coastal Lagoon Entrances
title_sort autonomous lidar based monitoring of coastal lagoon entrances
topic coastal monitoring
estuaries
IoT
lidar
remote sensing
url https://www.mdpi.com/2072-4292/13/7/1320
work_keys_str_mv AT bilalarshad autonomouslidarbasedmonitoringofcoastallagoonentrances
AT johanbarthelemy autonomouslidarbasedmonitoringofcoastallagoonentrances
AT pascalperez autonomouslidarbasedmonitoringofcoastallagoonentrances