DEPLOYMENT OF UAVs WITH SPECTRAL SENSORS FOR REAL-TIME COASTAL MONITORING

The complex coastal environment poses many logistical challenges for the deployment of Unmanned Aerial Vehicles (UAV) for real-time monitoring of marine operations, such as land reclamation. One of the challenges is the difficulty during calibration in synchronizing the images acquired by UAV spectral sensors and ground-truth measurements due to a time delay factor. In particular, these discrepancies generate significant outliers in the correlation between water leaving reflectance and turbidity, resulting in inaccuracies in model prediction of turbidity distribution (Kieu et al., 2023). This study focuses on streamlining the logistics during calibration to minimize this time delay factor, thereby enhancing data calibration accuracy.

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Publication Details

Journal
Coastal Engineering Proceedings
Published
2025-05-29
DOI
https://doi.org/10.9753/icce.v38.management.148
Primary Topic
Environmental and Sediment Control
Type
article
Field-Weighted Citation Impact
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article

DEPLOYMENT OF UAVs WITH SPECTRAL SENSORS FOR REAL-TIME COASTAL MONITORING

Hui Ying Pak, Ha Linh Trinh, Hieu Trung Kieu, James Kim Min Wong et al.
Coastal Engineering Proceedings
Environmental and Sediment Control
article

DEPLOYMENT OF UAVs WITH SPECTRAL SENSORS FOR REAL-TIME COASTAL MONITORING

Hui Ying Pak, Ha Linh Trinh, Hieu Trung Kieu, James Kim Min Wong, Adrian Wing‐Keung Law, Dawn Sok Cheng Pang, Eugene Khoo, Tham Wai Wah
article en

Abstract

The complex coastal environment poses many logistical challenges for the deployment of Unmanned Aerial Vehicles (UAV) for real-time monitoring of marine operations, such as land reclamation. One of the challenges is the difficulty during calibration in synchronizing the images acquired by UAV spectral sensors and ground-truth measurements due to a time delay factor. In particular, these discrepancies generate significant outliers in the correlation between water leaving reflectance and turbidity, resulting in inaccuracies in model prediction of turbidity distribution (Kieu et al., 2023). This study focuses on streamlining the logistics during calibration to minimize this time delay factor, thereby enhancing data calibration accuracy.

Coastal Engineering Proceedings(38)
Openalex Percentile: Top 67%
Environmental and Sediment Control
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