Tesi etd-12012025-151154 |
Link copiato negli appunti
Tipo di tesi
Tesi di laurea magistrale
Autore
DEL AGUILA ARCENTALES, PATRICIO
URN
etd-12012025-151154
Titolo
Data Fusion Techniques between LiDAR and MBES Bathymetric Surveys for 3D Seabed Modelling.
Dipartimento
SCIENZE POLITICHE
Corso di studi
SCIENZE MARITTIME E NAVALI
Relatori
relatore C.V. (AN) Dei, Paolo
correlatore C.C. (AN) Carnevale, Luigi
correlatore C.C. (AN) Carnevale, Luigi
Parole chiave
- 3D seabed modelling
- bathymetry
- coastal mapping
- data fusion
- hydrography
- LiDAR
- Multibeam Echo Sounder
- uncertainty analysis
Data inizio appello
09/01/2026
Consultabilità
Non consultabile
Data di rilascio
09/01/2066
Riassunto
Mapping of the seabed accurately and continuously is essential to ensure navigation
safety, coastal planning, environmental monitoring, and management of marine
resources. However, no survey technology can provide seamless, high-resolution
bathymetric data over shallow and deep waters simultaneously.
Airborne LiDAR is an excellent horizontal-resolution sensor and provides rapid
coverage over clear, shallow waters. Multibeam Echo Sounders (MBES) are more
effective in vertical range accuracy and performance in deeper or turbid waters.
In this paper, a thorough and efficient workflow for LiDAR and MBES survey data
fusion is designed to provide high-resolution 3D seabed models according with global
hydrographic standards (IHO S-44) and the Italian Hydrographic Technical Standard
(Disciplinare 3176).
It incorporates sensor calibration, spatial and temporal alignment, uncertainty
modelling, geostatistical interpolation (such as kriging and regression kriging),
smoothing algorithms as well as transition zone blending based on propagated
uncertainty. QGIS® also assumes a crucial role in visual inspection, validation and
quality control. The results show how fused LiDAR–MBES surfaces dramatically
improve spatial continuity and reduce vertical uncertainty in overlapping areas, and how
they generate morphologically coherent digital elevation models that are suitable for
navigation, habitat mapping, coastal engineering, and marine protected areas
management.
In this work, we show that integration of optical (LiDAR) and acoustic (MBES)
datasets substantially enhances the reliability, continuity, and operational value of
bathymetric products. By establishing a rigorous and repeatable fusion workflow, the
study gives an important methodological basis that could be used in coastal and marine
landscapes for safer navigation, better environmental surveillance and more efficient
management of coastlines.
safety, coastal planning, environmental monitoring, and management of marine
resources. However, no survey technology can provide seamless, high-resolution
bathymetric data over shallow and deep waters simultaneously.
Airborne LiDAR is an excellent horizontal-resolution sensor and provides rapid
coverage over clear, shallow waters. Multibeam Echo Sounders (MBES) are more
effective in vertical range accuracy and performance in deeper or turbid waters.
In this paper, a thorough and efficient workflow for LiDAR and MBES survey data
fusion is designed to provide high-resolution 3D seabed models according with global
hydrographic standards (IHO S-44) and the Italian Hydrographic Technical Standard
(Disciplinare 3176).
It incorporates sensor calibration, spatial and temporal alignment, uncertainty
modelling, geostatistical interpolation (such as kriging and regression kriging),
smoothing algorithms as well as transition zone blending based on propagated
uncertainty. QGIS® also assumes a crucial role in visual inspection, validation and
quality control. The results show how fused LiDAR–MBES surfaces dramatically
improve spatial continuity and reduce vertical uncertainty in overlapping areas, and how
they generate morphologically coherent digital elevation models that are suitable for
navigation, habitat mapping, coastal engineering, and marine protected areas
management.
In this work, we show that integration of optical (LiDAR) and acoustic (MBES)
datasets substantially enhances the reliability, continuity, and operational value of
bathymetric products. By establishing a rigorous and repeatable fusion workflow, the
study gives an important methodological basis that could be used in coastal and marine
landscapes for safer navigation, better environmental surveillance and more efficient
management of coastlines.
File
| Nome file | Dimensione |
|---|---|
La tesi non è consultabile. |
|