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  • 2020-2024  (11)
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  • 1
  • 2
    Publication Date: 2024-02-07
    Description: Ocean science and hydroacoustic seafloor mapping rely on accurate navigation underwater. By exploiting terrain information provided by a multibeam echosounder system, it is possible to significantly improve map quality. This article presents an algorithm capable of improving map quality and accuracy by aligning consecutive pings to tiles that are matched pairwise. A globally consistent solution is calculated from these matches. The proposed method has the potential to be used online in addition to other navigation solutions, but is mainly targeted for post processing. The algorithm was tested using different parameter settings on an AUV and a ship-based dataset. The ship-based dataset is publicly available as a benchmark. The original accurate navigation serving as a ground truth, alongside trajectories that include an artificial drift, are available. This allows quantitative comparisons between algorithms and parameter settings.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 3
    Publication Date: 2024-02-07
    Description: Highlights • The Digital Earth Viewer is an open-source (EUPL-licensed) hybrid application (desktop and server use) for the realtime visualisation and exploration of 4D geoscientific data. • Splitting the viewer into a natively compiled server-component optimized for maximum throughput and a web-technology-based client component geared towards maximum compatibility allows to harness the strengths of both platforms. • Desktop builds are release for Windows, Linux, and MacOS. • The Digital Earth Viewer has been used productively on expedition cruises to plan underwater exploration missions as all as a presentation and data validation tool by the GLODA-project. Abstract A comprehensive study of the Earth System and its different environments requires understanding of multi-dimensional data acquired with a multitude of different sensors or produced by various models. Here we present a component-wise scalable web-based framework for simultaneous visualisation of multiple data sources. It helps contextualise mixed observation and simulation data in time and space. This work is an extended version of the conference paper (Buck et al., 2021).
    Type: Article , PeerReviewed
    Format: text
    Format: text
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  • 4
    Publication Date: 2024-01-26
    Description: Upper-ocean velocities along the cruise track of Maria S. Merian cruise MSM96 were continuously collected by a vessel-mounted Teledyne RD Instruments 38 kHz Ocean Surveyor ADCP. The transducer was located at 6.5 m below the water line. The instrument was operated in narrowband mode with 32 m bins and a blanking distance of 16.0 m, while 50 bins were recorded using a pulse of 2.87 s. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Heading, pitch and roll data from the ship's gyro platforms and the navigation data were used by the data acquisition software VmDas internally to convert ADCP velocities into earth coordinates. Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. The average interval was set to 60 s. Data post-processing included water track calibration of the misalignment angle (0.44° +/- 0.8536°) and scale factor (1.0015 +/- 0.0180) of the Ocean Surveyor signal.
    Keywords: Acoustic Doppler Current Profiler; ADCP; Calculated; Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; GPF 20‐3_088; LATITUDE; LONGITUDE; Maria S. Merian; MSM96; MSM96_0_Underway-4; Pings, averaged to a double ensemble value; Quality flag, current velocity; South Atlantic Ocean; Vessel mounted Acoustic Doppler Current Profiler [38 kHz]; VMADCP-38
    Type: Dataset
    Format: text/tab-separated-values, 8074600 data points
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  • 5
    Publication Date: 2024-01-26
    Description: Upper-ocean velocities along the cruise track of Maria S. Merian cruise MSM96 were continuously collected by a vessel-mounted Teledyne RD Instruments 75 kHz Ocean Surveyor ADCP. The transducer was located at 6.5 m below the water line. The instrument was operated in narrowband mode with 8 m bins and a blanking distance of 4.0 m, while 100 bins were recorded using a pulse of 1.43 s. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Heading, pitch and roll data from the ship's gyro platforms and the navigation data were used by the data acquisition software VmDas internally to convert ADCP velocities into earth coordinates. Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. The average interval was set to 60 s. Data post-processing included water track calibration of the misalignment angle (-47.18° +/- 0.7276°) and scale factor (1.0064 +/- 0.0121) of the Ocean Surveyor signal.
    Keywords: Acoustic Doppler Current Profiler; ADCP; Calculated; Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; GPF 20‐3_088; LATITUDE; LONGITUDE; Maria S. Merian; MSM96; MSM96_0_Underway-4; Pings, averaged to a double ensemble value; Quality flag, current velocity; South Atlantic Ocean; Vessel mounted Acoustic Doppler Current Profiler, RDI Ocean Surveyor, 75 kHz
    Type: Dataset
    Format: text/tab-separated-values, 17331215 data points
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  • 6
    Publication Date: 2024-04-20
    Description: Multibeam bathymetry processed data (Kongsberg EM 122 multibeam echosounder) of RV MARIA S. MERIAN during cruise MSM96 in the North-East Atlantic (2020-10-120 - 2020-11-9). The raw data (Kongsberg .all format) were processed using QPS Qimera software (v 1.7), based on the following workflow: 0.Raw data -〉 1.Apply correct Sound Velocity Profiles -〉 2.Create CUBE surface (Deep Mode) -〉 3.Apply Spline Filter (Medium/Weak)- 〉 4. Finalize with manual 2D and 3D editing, -〉 5.Export in GeoTIFF format and projected in the UTM28N coordinate system (EPSG:32628). The produced rasters are named MS96_WA1_PAP_100m and MSM96_WA2_IAP_100m (WA=Working Area, PAP=Porcupine Abyssal Plain, IAP=Iberian Abyssal Plain, and 100m is the cell size). The data products were created in the context of the DAM (German Marine Research Alliance), MareHub (Helmholtz) & iAtlantic (EU) research projects.
    Keywords: Bathymetry; Binary Object; DAM_Underway; DAM Underway Research Data; File content; GEOMAR; Geotiff; GPF 20‐3_088; Helmholtz Centre for Ocean Research Kiel; Horizontal datum; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; KEM122; KONGSBERG EM122; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; MareHub; MareHub der marinen Zentren AWI, GEOMAR und HZG als Teil des DataHub des Forschungsbereichs Erde und Umwelt der HGF; Maria S. Merian; MSM96; MSM96_0_Underway-5; Raster cell size; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator; Vertical datum
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 7
    Publication Date: 2024-04-20
    Description: Multibeam bathymetry raw and processed data (RESON Seabat T50Extended Range) of Research Vessel Littorina at Fehmarn Belt in the western part of the Baltic Sea. The raw data (.db format) were processed using QPS Qimera software (v 1.7), based on the following workflow: 0.Raw data -〉 1.Apply correct Sound Velocity Profiles -〉 2. correct lever arm offsets -〉 3. Finalize with manual 2D and 3D point editing. The corrected soundings were used to create a GeoTIFF (EPSG Code:4326) .gsf data and GeoTIFF are provided.
    Keywords: BASTA; Bathymetry; benchmark; Binary Object; Binary Object (File Size); Binary Object (Media Type); Boost Applied munition detection through Smart data inTegration and AI workflows; Fehmarn Belt; File content; Geotiff; Horizontal datum; L13-20; L13-20_Underway-1; Latitude, northbound; Latitude, southbound; Littorina; Longitude, eastbound; Longitude, westbound; navigation correction; Raster cell size; software; T50-P; Teledyne Reson SeaBat T50-P multibeam echosounder; Vertical datum
    Type: Dataset
    Format: text/tab-separated-values, 26 data points
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  • 8
    Publication Date: 2024-04-20
    Description: Multibeam bathymetry raw and processed data (RESON Seabat T50Extended Range) of Research Vessel Littorina at Fehmarn Belt in the western part of the Baltic Sea. The raw data (.db format) were processed using QPS Qimera software (v 1.7), based on the following workflow: 0.Raw data -〉 1.Apply correct Sound Velocity Profiles -〉 2. correct lever arm offsets -〉 3. Finalize with manual 2D and 3D point editing. The corrected soundings were used to create a GeoTIFF (EPSG Code:4326) .gsf data and GeoTIFF are provided. In addition software is provided with the aim of establishing a benchmark for terrain based navigation correction software using mutlibeam data. A) A script that allows to alter navigation solutions B) A script that allows to compare navigation solutions By altering the original and correct navigation and using the product as a basis for a terrain based navigation correction algorithm, the quality of such an algorithm can be measured by comparing its output to the original navigation. This in turn allows quantitative comparisons between different algorithms or settings. In addition to the original navigation some altered navigation files are provided (in .csv file format).
    Keywords: BASTA; Bathymetry; benchmark; Binary Object; Binary Object (File Size); Binary Object (Media Type); Boost Applied munition detection through Smart data inTegration and AI workflows; Fehmarn Belt; File content; Geotiff; L13-20; L13-20_Underway-1; Littorina; navigation correction; software; T50-P; Teledyne Reson SeaBat T50-P multibeam echosounder
    Type: Dataset
    Format: text/tab-separated-values, 40 data points
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  • 9
    Publication Date: 2024-04-20
    Description: This dataset contains sediment profiling hydroacoustic data from RV MARIA S. MERIAN's Atlas PARASOUND P70 echosounder system. The data was recorded almost continuously during cruise MSM96 in the North-East Atlantic (2020-10-12 - 2020-11-09). This dataset contains the raw data files as created by the system along the cruise with Atlas PARASTORE software (.asd, .sgy, .ps3) and ancillary data. No data processing or quality control was conducted. The dataset additionally contains screenshots of selected parts of the recordings for visualization and data selection purposes. The PARASOUND data was recorded to complement the extensive multibeam data recordings of the cruise and to select sampling sites for the multicorer deployments. Data was recorded during multibeam stations and the vessel speed rarely reduced below 7 knots. Vessel speed varies throughout the dataset. This dataset does not contain any dedicated, slow-speed PARASOUND profiles. This publication is conducted within the efforts of the German Marine Research Alliance in the core area "Data management and Digitalization" (Deutsche Allianz Meeresforschung, DAM), MareHub (Helmholtz) & iAtlantic (EU) research projects.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); Category; DAM_Underway; DAM Underway Research Data; echosounder; Event label; File content; File format; GPF 20‐3_088; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; MareHub; MareHub der marinen Zentren AWI, GEOMAR und HZG als Teil des DataHub des Forschungsbereichs Erde und Umwelt der HGF; Maria S. Merian; marine sediment; MSM96; MSM96_0_Underway-3; Other event; ParaSound; PARASOUND; PS; sediment echosounder; South Atlantic Ocean; subbottom echosounder
    Type: Dataset
    Format: text/tab-separated-values, 200667 data points
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  • 10
    Publication Date: 2024-04-20
    Description: Multibeam bathymetry raw and processed data (RESON Seabat T50Extended Range) of Research Vessel Littorina at Fehmarn Belt in the western part of the Baltic Sea. The raw data (.db format) were processed using QPS Qimera software (v 1.7), based on the following workflow: 0.Raw data -〉 1.Apply correct Sound Velocity Profiles -〉 2. correct lever arm offsets -〉 3. Finalize with manual 2D and 3D point editing. The corrected soundings were used to create a GeoTIFF (EPSG Code:4326) .gsf data and GeoTIFF are provided. In addition software is provided with the aim of establishing a benchmark for terrain based navigation correction software using mutlibeam data. A) A script that allows to alter navigation solutions B) A script that allows to compare navigation solutions By altering the original and correct navigation and using the product as a basis for a terrain based navigation correction algorithm, the quality of such an algorithm can be measured by comparing its output to the original navigation. This in turn allows quantitative comparisons between different algorithms or settings. In addition to the original navigation some altered navigation files are provided (in .csv file format).
    Keywords: BASTA; Bathymetry; benchmark; Boost Applied munition detection through Smart data inTegration and AI workflows; Geotiff; navigation correction; software
    Type: Dataset
    Format: application/zip, 2 datasets
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