Comparison of Selected Reduction Methods of Bathymetric Data Obtained by Multibeam Echosounder

2016 ◽  
Author(s):  
Marta Wlodarczyk-Sielicka ◽  
Andrzej Stateczny
Keyword(s):  
Multibeam Echosounder ◽  
Bathymetric Data ◽  
Reduction Methods

scholarly journals A comparison of bathymetry mapped with the Simrad ME70 multibeam echosounder operated in bathymetric and fisheries modes

2010 ◽  
Vol 67 (6) ◽  
pp. 1301-1309 ◽  
Author(s):  
George R. Cutter ◽  
Laurent Berger ◽  
David A. Demer
Keyword(s):  
Software Development ◽  
Data Processing ◽  
Bay Of Biscay ◽  
Marine Science ◽  
Dual Use ◽  
Detection Range ◽  
Multibeam Echosounder ◽  
Acoustic Backscattering ◽  
Bathymetric Data ◽  
Phase Data

Abstract Cutter, G. R. Jr, Berger, L., and Demer, D. A. 2010. A comparison of bathymetry mapped with the Simrad ME70 multibeam echosounder operated in bathymetric and fisheries modes. – ICES Journal of Marine Science, 67: 1301–1309. The Simrad ME70 multibeam echosounder was designed for quantitative fisheries research and is currently installed on Ifremer's fishery survey vessel (FSV) “Thalassa” and each of the new, quiet, NOAA FSVs. The ME70 has configurable beams and transmits in the range 70–120 kHz to provide calibrated, acoustic-backscattering data throughout the detection range (fisheries mode, FM). With optional hardware and software, the ME70 can also collect soundings that potentially meet International Hydrographic Organization's S–44 Order 1 standards (bathymetric mode, BM). Furthermore, with custom algorithms and software, bathymetric data can be obtained from the ME70 operating in FM, and volume backscatter can be sampled from the ME70 operating in BM. This flexibility allows data to be concurrently collected on fish and their seabed habitat. A method is described for processing the echo amplitude and phase data from multiple split-beams formed in FM to estimate seabed range, slope, and roughness. The resulting bathymetry is compared with that collected with the ME70 operating in BM in the same area of the Bay of Biscay. A proposal is made for software development to facilitate dual-use data processing.

scholarly journals The Reduction Method of Bathymetric Datasets that Preserves True Geodata

2019 ◽  
Vol 11 (13) ◽  
pp. 1610 ◽  
Author(s):  
Marta Wlodarczyk-Sielicka ◽  
Andrzej Stateczny ◽  
Jacek Lubczonek
Keyword(s):  
Data Reduction ◽  
Reduction Method ◽  
Large Data ◽  
Water Area ◽  
Bathymetric Data ◽  
Remote Sensors ◽  
Depth Data ◽  
Coastal Modelling ◽  
Reduction Methods ◽  
Quality And Reliability

Water areas occupy over 70 percent of the Earth’s surface and are constantly subject to research and analysis. Often, hydrographic remote sensors are used for such research, which allow for the collection of information on the shape of the water area bottom and the objects located on it. Information about the quality and reliability of the depth data is important, especially during coastal modelling. In-shore areas are liable to continuous transformations and they must be monitored and analyzed. Presently, bathymetric geodata are usually collected via modern hydrographic systems and comprise very large data point sequences that must then be connected using long and laborious processing sequences including reduction. As existing bathymetric data reduction methods utilize interpolated values, there is a clear requirement to search for new solutions. Considering the accuracy of bathymetric maps, a new method is presented here that allows real geodata to be maintained, specifically position and depth. This study presents a description of a developed method for reducing geodata while maintaining true survey values.

scholarly journals UAV-Derived Multispectral Bathymetry

2020 ◽  
Vol 12 (23) ◽  
pp. 3897
Author(s):  
Lorenzo Rossi ◽  
Irene Mammi ◽  
Filippo Pelliccia
Keyword(s):  
Shallow Waters ◽  
Multibeam Echosounder ◽  
Bathymetric Data ◽  
Spectral Bands ◽  
Sea Bottom ◽  
Digital Elevation ◽  
Multispectral Satellite Imagery ◽  
Aerial Vehicle ◽  
Marine Applications ◽  
Band Combinations

Bathymetry is considered an important component in marine applications as several coastal erosion monitoring and engineering projects are carried out in this field. It is traditionally acquired via shipboard echo sounding, but nowadays, multispectral satellite imagery is also commonly applied using different remote sensing-based algorithms. Satellite-Derived Bathymetry (SDB) relates the surface reflectance of shallow coastal waters to the depth of the water column. The present study shows the results of the application of Stumpf and Lyzenga algorithms to derive the bathymetry for a small area using an Unmanned Aerial Vehicle (UAV), also known as a drone, equipped with a multispectral camera acquiring images in the same WorldView-2 satellite sensor spectral bands. A hydrographic Multibeam Echosounder survey was performed in the same period in order to validate the method’s results and accuracy. The study area was approximately 0.5 km2 and located in Tuscany (Italy). Because of the high percentage of water in the images, a new methodology was also implemented for producing a georeferenced orthophoto mosaic. UAV multispectral images were processed to retrieve bathymetric data for testing different band combinations and evaluating the accuracy as a function of the density and quantity of sea bottom control points. Our results indicate that UAV-Derived Bathymetry (UDB) permits an accuracy of about 20 cm to be obtained in bathymetric mapping in shallow waters, minimizing operative expenses and giving the possibility to program a coastal monitoring surveying activity. The full sea bottom coverage obtained using this methodology permits detailed Digital Elevation Models (DEMs) comparable to a Multibeam Echosounder survey, and can also be applied in very shallow waters, where the traditional hydrographic approach requires hard fieldwork and presents operational limits.

scholarly journals Processing of Bathymetric Data: The Fusion of New Reduction Methods for Spatial Big Data

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6207
Author(s):  
Marta Wlodarczyk-Sielicka ◽  
Wioleta Blaszczak-Bak
Keyword(s):  
Data Reduction ◽  
Spatial Data ◽  
Autonomous Vehicles ◽  
Numerical Models ◽  
Mesh Size ◽  
Bathymetric Data ◽  
Large Sets ◽  
Reliable Source ◽  
Reduction Methods ◽  
Data Reduction Method

Floating autonomous vehicles are very often equipped with modern systems that collect information about the situation under the water surface, e.g., the depth or type of bottom and obstructions on the seafloor. One such system is the multibeam echosounder (MBES), which collects very large sets of bathymetric data. The development and analysis of such large sets are laborious and expensive. Reduction of the spatial data obtained from bathymetric and other systems collecting spatial data is currently widely used. In commercial programs used in the development of data from hydrographic systems, methods of interpolation to a specific mesh size are very frequently used. The authors of this article previously proposed original the true bathymetric data reduction method (TBDRed) and Optimum Dataset (OptD) reduction methods, which maintain the actual position and depth for each of the measured points, without their interpolation. The effectiveness of the proposed methods has already been presented in previous articles. This article proposes the fusion of original reduction methods, which is a new and innovative approach to the problem of bathymetric data reduction. The article contains a description of the methods used and the methodology of developing bathymetric data. The proposed fusion of reduction methods allows the generation of numerical models that can be a safe, reliable source of information, and a basis for design. Numerical models can also be used in comparative navigation, during the creation of electronic navigation maps and other hydrographic products.

scholarly journals A Review of Data Cleaning Approaches in a Hydrographic Framework with a Focus on Bathymetric Multibeam Echosounder Datasets

Geosciences ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 254
Author(s):  
Julian Le Deunf ◽  
Nathalie Debese ◽  
Thierry Schmitt ◽  
Romain Billot
Keyword(s):  
Data Processing ◽  
Data Cleaning ◽  
Critical Issue ◽  
Challenging Problem ◽  
Multibeam Echosounder ◽  
Detailed Review ◽  
Bathymetric Data ◽  
Future Developments ◽  
Automatic Methods

Automatic cleaning of MultiBeam EchoSounder (MBES) bathymetric datasets is a critical issue in data processing especially with the objective of nautical charting. A number of approaches have already been investigated in order to provide solution in views of operationally reaching this still challenging problem. This paper aims at providing a comprehensive and structured overview of existing contributions in the literature. For this purpose, a taxonomy is proposed to categorize the whole set of automatic and semi-automatic methods addressing MBES data cleaning. The non-supervised algorithms that compose the majority of the methods developed in the hydrographic field, are mainly described according to both the features of the bathymetric data and the type of outliers to detect. Based on this detailed review, past and future developments are discussed in light of both implementation and test on datasets and metrics used for performances assessment.

scholarly journals Detection of Small Bottom Objects From Multibeam Echosounder Data

2018 ◽  
Vol 25 (1) ◽  
pp. 219-232
Author(s):  
Dominik Iwen ◽  
Mariusz Wąż
Keyword(s):  
Shallow Water ◽  
Post Processing ◽  
Data Format ◽  
Multibeam Echosounder ◽  
Bathymetric Data ◽  
Detection Of Objects ◽  
Processing Techniques ◽  
Echo Sounder

AbstractMultibeam Echo Sounder Systems (MBES) shallow water surveys provide capability not only acquiring bathymetric data useful for determining isobaths and mapping features on the seafloor which may be a hazard to navigation. They also allow detection of objects smaller or deeper than those required for the safety of seafaring and International Hydrography Organization (IHO) standards. In this article some of issues related to of efficient MBES shallow water surveys are stressed. Additionally a draft of post-processing techniques and result data format together with tools allowing extraction of bottom object from bathymetric data are presented.

scholarly journals Testing Side-Scan Sonar and Multibeam Echosounder to Study Black Coral Gardens: A Case Study from Macaronesia

2020 ◽  
Vol 12 (19) ◽  
pp. 3244
Author(s):  
Karolina Czechowska ◽  
Peter Feldens ◽  
Fernando Tuya ◽  
Marcial Cosme de Esteban ◽  
Fernando Espino ◽  
...  
Keyword(s):  
Habitat Characteristics ◽  
Side Scan Sonar ◽  
Multibeam Echosounder ◽  
Marine Communities ◽  
Bathymetric Data ◽  
Black Coral ◽  
Black Corals ◽  
Distribution And Ecology ◽  
Ground Truthing

Black corals (order Antipatharia) are important components of mesophotic and deep-water marine communities, but due to their inaccessibility, there is limited knowledge about the basic aspects of their distribution and ecology. The aim of this study was to test methodologies to map and study colonies of a branched antipatharian species, Antipathella wollastoni, in the Canary Islands (Spain). Acoustic tools, side-scan sonar (SSS), and a multibeam echosounder (MBES), coupled with ground-truthing video surveys, were used to determine the habitat characteristics of Antipathella wollastoni. Below 40 m depth, colonies of increasing height (up to 1.3 m) and abundance (up to 10 colonies/m2) were observed, particularly on steep and current-facing slopes on rocky substrates. However, coral presence was not directly imaged on backscatter mosaics and bathymetric data. To improve this situation, promising initial attempts of detecting Antipathella wollastoni by utilizing the MBES water column scatter in an interval for 0.75 m to 1 m above the seafloor are reported.

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