Validation of Unmanned Surface Vehicle-Based Multibeam Echosounder Bathymetric Surveys: Comparison with Manned Platforms in Harbor and Island Areas

The demand for hydrographic surveys is increasing amid growing needs for environmental monitoring, climate response, and maritime safety, while traditional manned vessel surveys face operational limits related to cost, safety, and accessibility.Recent advances in autonomous navigation, remote communication, and multisensor integration technologies have accelerated the adoption of unmanned surface vehicles (USVs) for marine surveying.However, establishing the reliability of USV-based bathymetric surveys requires rigorous accuracy verification against conventional manned-vessel measurements.This study quantitatively evaluates the performance of multibeam echosounder (MBES) surveys conducted by USV in both harbor environments and complex island terrains by comparing them with manned vessel data collected over the same areas.Accuracy assessment was performed using three complementary approaches.First, crossline quality control analysis based on the International Hydrographic Organization (IHO) S-44 total vertical uncertainty (TVU) standards.Second, shallow water area analysis using statistical indicators.Third, raster-based depth difference analysis using a digital terrain model (DTM).As a result, both manned vessel and USV surveys satisfied 99.6-100% of the special order, order 1a/1b, and order two standards across all survey areas and years.In the shallow water analysis, the root mean square error (RMSE) was 0.07 m in Yongho Harbor and an average of 0.16 m in Dokdo, indicating excellent agreement between the two platforms.The raster-based depth difference analysis also demonstrated high spatial consistency, with a mean absolute error (MAE) of 0.08 m and a standard deviation (STD) of 0.12 m in the harbor area, while depth deviations in the Dokdo region remained within the IHO allowable limits for corresponding depths.Although localized deviations were observed due to the absence of confirmation surveys and the limitations of global navigation satellite system (GNSS) based positioning, the overall results show that USV-based MBES bathymetry achieves accuracy comparable to manned surveys while offering superior accessibility, safety, and operational efficiency in shallow or hazardous environments.These findings suggest that USVs have strong potential to serve as an alternative or complementary platform to traditional manned vessel hydrographic surveys.

Authors

Institutions

Publication Details

Journal
Korean Journal of Remote Sensing
Published
2025-12-31
DOI
https://doi.org/10.7780/kjrs.2025.41.6.2
Primary Topic
Underwater Acoustics Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validation of Unmanned Surface Vehicle-Based Multibeam Echosounder Bathymetric Surveys: Comparison with Manned Platforms in Harbor and Island Areas

Jaegu Bae, Jungsik Yang, Jinsoo Kim, Donggyun Sin et al.
Korean Journal of Remote Sensing
Underwater Acoustics Research
article

Validation of Unmanned Surface Vehicle-Based Multibeam Echosounder Bathymetric Surveys: Comparison with Manned Platforms in Harbor and Island Areas

Jaegu Bae, Jungsik Yang, Jinsoo Kim, Donggyun Sin, Eokdong Kim, Seonghyuk Lee
article en

Abstract

The demand for hydrographic surveys is increasing amid growing needs for environmental monitoring, climate response, and maritime safety, while traditional manned vessel surveys face operational limits related to cost, safety, and accessibility.Recent advances in autonomous navigation, remote communication, and multisensor integration technologies have accelerated the adoption of unmanned surface vehicles (USVs) for marine surveying.However, establishing the reliability of USV-based bathymetric surveys requires rigorous accuracy verification against conventional manned-vessel measurements.This study quantitatively evaluates the performance of multibeam echosounder (MBES) surveys conducted by USV in both harbor environments and complex island terrains by comparing them with manned vessel data collected over the same areas.Accuracy assessment was performed using three complementary approaches.First, crossline quality control analysis based on the International Hydrographic Organization (IHO) S-44 total vertical uncertainty (TVU) standards.Second, shallow water area analysis using statistical indicators.Third, raster-based depth difference analysis using a digital terrain model (DTM).As a result, both manned vessel and USV surveys satisfied 99.6-100% of the special order, order 1a/1b, and order two standards across all survey areas and years.In the shallow water analysis, the root mean square error (RMSE) was 0.07 m in Yongho Harbor and an average of 0.16 m in Dokdo, indicating excellent agreement between the two platforms.The raster-based depth difference analysis also demonstrated high spatial consistency, with a mean absolute error (MAE) of 0.08 m and a standard deviation (STD) of 0.12 m in the harbor area, while depth deviations in the Dokdo region remained within the IHO allowable limits for corresponding depths.Although localized deviations were observed due to the absence of confirmation surveys and the limitations of global navigation satellite system (GNSS) based positioning, the overall results show that USV-based MBES bathymetry achieves accuracy comparable to manned surveys while offering superior accessibility, safety, and operational efficiency in shallow or hazardous environments.These findings suggest that USVs have strong potential to serve as an alternative or complementary platform to traditional manned vessel hydrographic surveys.

Korean Journal of Remote SensingVol. 41(6)
Service Hydrographique et Océanographique de la Marine (FR), Daewoo Shipbuilding and Marine Engineering (South Korea) (KR), Korea Institute of Science and Technology (KR), Pukyong National University (KR)
Korea Hydrographic and Oceanographic Agency
Life below water
Openalex Percentile: Top 27%
Underwater Acoustics Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.