Journal of Engineering, Project, and Production Management, 2024, 14(3), 0027
Remote Sensing Synergies for Port Infrastructure Monitoring and Condition Assessment
1PhD Candidate, Laboratory of
Harbour Works, Department of Water Resources and Environmental
Engineering, School of Civil Engineering, National Technical University
of Athens (NTUA), Zografou 15780, Greece, E-mail: ctsaimou@gmail.com
(corresponding author).
2Research Associate, Laboratory of Harbour Works, Department
of Water Resources and Environmental Engineering, School of Civil
Engineering, National Technical University of Athens (NTUA), Zografou
15780, Greece, E-mail: giorgos.kagkelis@gmail.com
3Associate Professor, Remote Sensing Laboratory, School of
Rural, Surveying and Geo-Informatics Engineering, National Technical
University of Athens (NTUA), Zografou 15780, Greece, E-mail: karank@central.ntua.gr
4Rural and Survey Engineer, NIREAS Engineering, 1-3 Skra Str.,
Athens, 17673, Greece, E-mail: sartabakos@yahoo.gr
5Professor, Laboratory of Harbour Works, Department of Water
Resources and Environmental Engineering, School of Civil Engineering,
National Technical University of Athens (NTUA), Zografou 15780, Greece,
E-mail: tsoukala@mail.ntua.gr
Project Management
Received May 23, 2023; received revision June 26, 2023; accepted November 8, 2023
Available online September 27, 2024
Abstract: There is an urgent need for the development of cutting-edge port infrastructure monitoring solutions that exploit different multimodal data towards timely optimal port management strategies and decision-making. Advanced monitoring applications allow for optimising maintenance, rehabilitation, and upgrade actions by assessing the structural integrity of port structures that is affected by a vast variety of stressors such as aging, imposed loads, inadequate maintenance treatments, human-induced factors, natural hazards, and the ever-changing climate. The purpose of this research is to enhance Remote Sensing (RS) port monitoring practices by investigating the potential of combining different types of RS methods to record and assess infrastructure condition. Two RS types of data, a) satellite imagery and b) aerial imagery from Unmanned Aerial Vehicle (UAV), were considered for structural monitoring at Lavrio port, located in northeastern Attica, Greece. In particular, the applied monitoring program was focused on its windward rubble mound structure where temporal changes in the armour layer were detected. Significant parameters regarding spatial resolution and UAV flight characteristics were further investigated aiming at ensuring high-quality data. The overall research indicated that RS synergies proved to be a promising practice for acquiring advanced spatial and temporal information on port infrastructure condition.
Keywords: Monitoring, port infrastructure, remote sensing, satellite imagery, unmanned aerial vehicles
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Citation: Tsaimou, C. N., Kagkelis, D. G. N., Karantzalos, K., Sartampakos, P., and Tsoukala, V. K. (2024). Remote Sensing Synergies for Port Infrastructure Monitoring and Condition Assessment. Journal of Engineering, Project, and Production Management, 14(3), 0027.
DOI:
10.32738/JEPPM-2024-0027
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