Development of UAV-based LiDAR and multispectral measurement techniques for monitoring sediment intrusion in coastal wetlands

Paweł Tysiąc; Damian Moskalewicz; Łukasz Janowski

doi:10.1016/j.measurement.2025.117459

Development of UAV-based LiDAR and multispectral measurement techniques for monitoring sediment intrusion in coastal wetlands

Abstrakt

This study presents an innovative measurement method utilizing Uncrewed Aerial Vehicle (UAV)-based Light Detection and Ranging (LiDAR) sensor and multispectral imaging to precisely monitor sand deposition in coastal wetlands. The classification scheme developed in this research distinguishes four key coastal land cover classes: New Sand (recently deposited sediments), Old Sand (previously deposited and partially stabilized sediments), Vegetation (coastal flora covering stabilized areas), and Water (including freshwater and brackish zones). These classes were identified based on spectral and elevation characteristics, enabling a high-resolution analysis of sediment transport and deposition processes. An initial classification using only LiDAR data achieved an accuracy of 83 %. By incorporating multispectral imaging and analysing the spectral signatures for each defined class (from multispectral measurements), we improved the classification accuracy to approximately 90 %. The spectral information from multispectral imaging proved crucial for differentiating sediment types, and refining the measurement process through better model tuning. Data aggregation was conducted using Google Earth Engine, enabling robust repetition of measurements, efficient handling of large datasets, and consistent data processing workflows. Our approach demonstrates significant advancements in measurement science by reducing time and costs associated with post-event environmental monitoring while improving data precision and accuracy. The combination of spectral data with LiDAR and leveraging spectral signatures for model tuning enhanced measurement outcomes by effectively propagating and minimizing uncertainties. The measurement framework developed offers a reliable and precise tool for tracking coastal sediment deposition, ensuring the reliability of results.

Cytowania

0

CrossRef
0

Web of Science
0

Scopus

Autorzy (3)

Cytuj jako

Pełna treść

pełna treść publikacji nie jest dostępna w portalu

pełna treść artykułu zobacz w serwisie zewnętrznym otwiera się w nowej karcie

Słowa kluczowe

Informacje szczegółowe

Kategoria:

Publikacja w czasopiśmie

Typ:

artykuły w czasopismach

Opublikowano w:

MEASUREMENT nr 253,
ISSN: 0263-2241

Język:

angielski

Rok wydania:

2025

Opis bibliograficzny:

Tysiąc P., Moskalewicz D., Janowski Ł.: Development of UAV-based LiDAR and multispectral measurement techniques for monitoring sediment intrusion in coastal wetlands// MEASUREMENT -,iss. 117459 (2025),

DOI: