Unmanned Aerial Vehicle (UAV) Images for Coastal Erosion Monitoring.

Unmanned aerial vehicles (UAVs) are increasingly utilized for various measurements and surveys, including coastal areas assessment studies.Key applications include coastal monitoring, mapping, geohazard identification, and forecasting.This paper examines the effectiveness of UAV imagery for monitoring coastal erosion at Regency Beach, Port Dickson, using Pix4DCapture, Pix4DMapper, and ArcGIS 10.3.The UAV imagery revealed visible improvements in the shoreline, potentially impacting the coastal region significantly.Accuracy was assessed using Root Mean Square Error (RMSE) computations, which confirmed that the data met the 7.95 cm RMSEx/RMSEy Horizontal Accuracy Class of the ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014).The results showed an RMSEx of 4.26 cm and an RMSEy of 1.57 cm.Given the successful outcome of this study, UAVs are recommended as an effective tool for monitoring coastal changes.

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Publication Details

Journal
Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES)
Published
2024-10-17
DOI
https://doi.org/10.5109/7323421
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
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article

Unmanned Aerial Vehicle (UAV) Images for Coastal Erosion Monitoring.

Syed Muzzamil Hussain Shah, I B Isha, Ebrahim Hamid Hussein Al‐Qadami, M.A. Zaidi et al.
Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES)
Remote Sensing and LiDAR Applications
article

Unmanned Aerial Vehicle (UAV) Images for Coastal Erosion Monitoring.

Syed Muzzamil Hussain Shah, I B Isha, Ebrahim Hamid Hussein Al‐Qadami, M.A. Zaidi, M R M Adib
article en

Abstract

Unmanned aerial vehicles (UAVs) are increasingly utilized for various measurements and surveys, including coastal areas assessment studies.Key applications include coastal monitoring, mapping, geohazard identification, and forecasting.This paper examines the effectiveness of UAV imagery for monitoring coastal erosion at Regency Beach, Port Dickson, using Pix4DCapture, Pix4DMapper, and ArcGIS 10.3.The UAV imagery revealed visible improvements in the shoreline, potentially impacting the coastal region significantly.Accuracy was assessed using Root Mean Square Error (RMSE) computations, which confirmed that the data met the 7.95 cm RMSEx/RMSEy Horizontal Accuracy Class of the ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014).The results showed an RMSEx of 4.26 cm and an RMSEy of 1.57 cm.Given the successful outcome of this study, UAVs are recommended as an effective tool for monitoring coastal changes.

Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES)Vol. 10
Ministry of Higher Education (MY), King Fahd University of Petroleum and Minerals (SA), Tun Hussein Onn University of Malaysia (MY)
Life below water
Openalex Percentile: Top 63%
Remote Sensing and LiDAR Applications
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