Short-Term Shoreline Evolution Mapping by using UAV

Authors

  • Masiri Bin Kaamin Neo Environment Technology (NET), Department of Civil Engineering, Centre for Diploma Studies, Universiti Tun Hussein Onn Malaysia, Pagoh, Johor
  • Mohammad Ikhmal Siddiq Bin Jefri Din Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor
  • Mohd Effendi Bin Daud Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor
  • Mardiha Binti Mokhtar Neo Environment Technology (NET), Department of Civil Engineering, Centre for Diploma Studies, Universiti Tun Hussein Onn Malaysia, Pagoh, Johor
  • Muhamad Syamil Bin Sabri Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor
  • Effi Helmy Bin Ariffin Faculty of Science & Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu

DOI:

https://doi.org/10.37934/araset.41.1.113

Keywords:

Shoreline, UAV Photogrammetry, Unmanned Aerial Vehicle

Abstract

The boundary separating land from the beachside is known as the coastline. Monitoring and analysing shorelines are crucial because it gives us a better understanding of shoreline changes and identifies beach conditions. Unmanned aerial vehicle (UAV) or drone usage has emerged as a beneficial technology in coastal engineering, notably in the study of shoreline evolutions, because it is more credible and more straightforward to use than the prior technologies. This study aims to gather coastal data, evaluate Pantai Punggur shorelines, and track shoreline changes using processed imagery. The "Pix4D Capture" application has been programmed with the flight planning route, and the drone takes pictures along the entire grid line provided. The data on shoreline evolutions were processed using the Pix4d Mapper and Global Mapper tools. Shoreline changes were tracked continuously from August 4th, 2020, through August 10th, 2021. According to the results, Pantai Punggur is undergoing erosion, as evidenced by the alterations in the shoreline that were apparent in less than a year.

Author Biographies

Masiri Bin Kaamin, Neo Environment Technology (NET), Department of Civil Engineering, Centre for Diploma Studies, Universiti Tun Hussein Onn Malaysia, Pagoh, Johor

masiri@uthm.edu.my

Mohammad Ikhmal Siddiq Bin Jefri Din, Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor

ikhmalsiddiq96@gmail.com

Mohd Effendi Bin Daud, Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor

effendi@uthm.edu.my

Mardiha Binti Mokhtar, Neo Environment Technology (NET), Department of Civil Engineering, Centre for Diploma Studies, Universiti Tun Hussein Onn Malaysia, Pagoh, Johor

mardiha@uthm.edu.my

Muhamad Syamil Bin Sabri, Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor

syamilsabri81@gmail.com

Effi Helmy Bin Ariffin, Faculty of Science & Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu

effihelmy@umt.edu.my

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Published

2024-03-04

How to Cite

Masiri Bin Kaamin, Mohammad Ikhmal Siddiq Bin Jefri Din, Mohd Effendi Bin Daud, Mardiha Binti Mokhtar, Muhamad Syamil Bin Sabri, & Effi Helmy Bin Ariffin. (2024). Short-Term Shoreline Evolution Mapping by using UAV. Journal of Advanced Research in Applied Sciences and Engineering Technology, 41(1), 1–13. https://doi.org/10.37934/araset.41.1.113

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