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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Format: | Article |
Language: | English |
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MDPI AG
2021-03-01
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Series: | Remote Sensing |
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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. |
first_indexed | 2024-03-10T12:46:56Z |
format | Article |
id | doaj.art-dcd00cde156343efbb0c84765efb7ddc |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-10T12:46:56Z |
publishDate | 2021-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
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 |