Citation:

PANGAEA.996935 (dataset in review)

Name: Multibeam bathymetry processed data (Kongsberg EM2040 entire dataset, Generic sensor format) of SV DVOCEAN, Rhine River, Germany
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Bathymetry; Multibeam Echosounder; River Rhine

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Abstract:

GSF ABSTRACT

This dataset comprises high-resolution multibeam echosounder (MBES) bathymetry and backscatter data collected in a 7.5 km segment of the River Rhine (km 747.0–754.5, Düsseldorf, Germany) between July 24th and 31st, 2024. The survey, conducted with a Kongsberg EM2040P MKII multibeam echosounder operated at a frequency of 300 kHz, achieved a point density of ≥ 160 points/m² and met the IHO Special Order standards (horizontal uncertainty ≤ 15 cm, vertical uncertainty ≤ 3 cm). Furthermore, the dataset includes 8,654 manually annotated quartzite blocks (mean area: 1.90 m², mean height above riverbed: 0.28 m), which were used to train a U-Net convolutional neural network (CNN) for an automated detection. The dataset comprises the raw (.db) bathymetric data, the applied sound velocity profiles (.csv), the pre-processed and filtered bathymetric data (0.25 m grid as .xyz and .tif) with their uncertainty metrics (.xyz, .tif), the computed and cleaned backscatter mosaics (available as 0.20 m and 0.25 m pixel size mosaics in .xyz and .tif format) and the manually digitized polygon annotations (.shp). The data are suited for hazard mapping, geomorphological studies, AI/ML model training (e.g., semantic segmentation) as well as the validation of automated boulder detection methods.

Keyword(s):

Bathymetry; Multibeam Echosounder; River Rhine

Related to:

Idun, Eric (2025): AI-Driven Detection of Quartzite Blocks in the River Rhine Using CNN U-Net with Backscatter and Bathymetric Data. Journal of Applied Hydrography, HN134, https://dhyg.de/images/hn_ausgaben/HN134.pdf

Kraft, Markus; Hollmann, Nils; Torres, Kelly; Idun, Eric; Heffner, Ellen; Walter, Annika L.; Sternberg, Harald (2025): Detection of quartzite blocks in the River Rhine. Journal of Applied Hydrography, HN130, https://doi.org/10.23784/HN130-04

Walter, Annika L.; Fickrie, Muhammad; Heffner, Ellen; Sternberg, Harald: Annotated boulder occurrence dataset using quartzite block detection derived from multibeam bathymetry processed data of SV DVOCEAN, Rhine River, Germany [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.997228

Walter, Annika L.; Fickrie, Muhammad; Heffner, Ellen; Sternberg, Harald: Multibeam bathymetry processed data (Kongsberg EM2040 entire dataset) of SV DVOCEAN, Rhine River, Germany [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.997223

Walter, Annika L.; Fickrie, Muhammad; Heffner, Ellen; Sternberg, Harald: Sound velocity profiles of multibeam bathymetry processed data (Kongsberg EM2040 entire dataset) of SV DVOCEAN, Rhine River, Germany [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.997235

Walter, Annika L.; Muhammad, F.; Sternberg, Harald (in prep.): High-resolution annotated multibeam bathymetry and backscatter dataset for quartzite block detection. Data Descirptor. Scientific Data

Coverage:

Median Latitude: 51.266358 * Median Longitude: 6.719583 * South-bound Latitude: 51.247766 * West-bound Longitude: 6.700651 * North-bound Latitude: 51.295544 * East-bound Longitude: 6.757064

Date/Time Start: 2024-07-20T13:56:45 * Date/Time End: 2024-07-30T11:24:35

Minimum ELEVATION: -23.8460 m a.s.l. * Maximum ELEVATION: -0.0000 m a.s.l.

Event(s):

dvocean1_0_Underway-1 * Latitude Start: 51.251200 * Longitude Start: 6.752190 * Latitude End: 51.250400 * Longitude End: 6.749830 * Date/Time Start: 2024-07-20T13:56:45 * Date/Time End: 2024-07-30T11:25:45 * Campaign: * Basis: DVocean * Method/Device: (EM2040) * Comment: Event shows start/end point (date/time & coordinates) of first/last data record using Kongsberg EM 2040 multibeam echosounder

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	Event label	Event		Walter, Annika L.
2	Binary Object	Binary		Walter, Annika L.
3	Binary Object (Media Type)	Binary (Type)		Walter, Annika L.
4	Binary Object (File Size)	Binary (Size)	Bytes	Walter, Annika L.
5	Binary Object (MD5 Hash)	Binary (Hash)		Walter, Annika L.
6	File content	Content		Walter, Annika L.
7	Data file recording duration	Data record duration	min	Walter, Annika L.	Extracted with MB-System
8	Data file recording distance	Data record distance	m	Walter, Annika L.	Extracted with MB-System
9	Ship speed	Ship sp	kn	Walter, Annika L.	Extracted with MB-System
10	Number of pings	Pings		Walter, Annika L.	Extracted with MB-System
11	Start of data file recording, date/time	File start date/time		Walter, Annika L.	Extracted with MB-System
12	Start of data file recording, latitude	File start latitude		Walter, Annika L.	Extracted with MB-System
13	Start of data file recording, longitude	File start longitude		Walter, Annika L.	Extracted with MB-System
14	Start of data file, heading	File start heading	deg	Walter, Annika L.	Extracted with MB-System
15	Start of data file, depth	File start depth	m	Walter, Annika L.	Extracted with MB-System
16	Stop of data file recording, date/time	File stop date/time		Walter, Annika L.	Extracted with MB-System
17	Stop of data file recording, latitude	File stop latitude		Walter, Annika L.	Extracted with MB-System
18	Stop of data file recording, longitude	File stop longitude		Walter, Annika L.	Extracted with MB-System
19	Stop of data file, heading	File stop heading	deg	Walter, Annika L.	Extracted with MB-System
20	Stop of data file, depth	File stop depth	m	Walter, Annika L.	Extracted with MB-System
21	DATE/TIME	Date/Time		Walter, Annika L.		Geocode
22	LATITUDE	Latitude		Walter, Annika L.		Geocode
23	LONGITUDE	Longitude		Walter, Annika L.		Geocode
24	ELEVATION	Elevation	m a.s.l.	Walter, Annika L.		Geocode
25	Comment	Comment		Walter, Annika L.

License:

Creative Commons Attribution 4.0 International (CC-BY-4.0) (License comes into effect after moratorium ends)

Status:

Curation Level: Enhanced curation (CurationLevelC) * Processing Level: PANGAEA data processing level 2 (ProcLevel2)

Size:

12648 data points

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