Seafloor litter field off the French Mediterranean coast (43.078°N;6.458°E): 3D scene and imagery

Litter site at the seafloor, off the southern French Mediterranean coast (43.078°N;6.458°E), at a water depth of ~600 m This litter field was surveyed using the HROV Arianne in 2017, deployed from N/O L’Europe, and equipped with a vertical electronic still camera. Two datasets are provided. First, the survey imagery, under a folder named carthorov_dump, that consists of 303 images (jpeg format) and an associated navigation file in dim2 format. Second, 2 folders with 3D textured models of the site (obj format), each with a kml file for georeferencing, and an geotiff orthomosaic. A first model is the result of processing imagery without data correction (folder WithoutAnyCorrection). A second model is processed with image colour correction (folder WithColorAndIlluminationCorrection). This dataset is one of several released with a paper by Arnaubec et al. (submitted March 2021, Computer and Geosciences) presenting the Matisse image processing software and the 3DMetrics Visualization and analysis software and released as open source (ref Github to come).

Ref: Arnaubec, A., J. Escartín, J. Opderbecke, M. Matabos, N. Gracias, submitted, Underwater 3D terrain reconstruction from video or still imagery: Processing and exploitation software (MATISSE \& 3DMETRICS), in prep., Computers and Geosciences.

 
Citation proposal
ARNAUBEC Aurelien (IFREMER, Ctr Mediterranee, Unité Systemes Marins,La Seyne sur mer, France) - RAUGEL Ewen (IFREMER, Ctr Mediterranee, Unité Systemes Marins,La Seyne sur mer, France) (2017) . Seafloor litter field off the French Mediterranean coast (43.078°N;6.458°E): 3D scene and imagery. https://services.mspdata.eu:/geonetwork/srv/api/records/seanoe:79024

Simple

Date ( Publication )
2017
Date ( Revision )
2023-05-12
Other citation details

Arnaubec Aurelien, Raugel Ewen (2017). Seafloor litter field off the French Mediterranean coast (43.078°N;6.458°E): 3D scene and imagery. SEANOE. https://doi.org/10.17882/79024


In addition to properly cite this dataset, it would be appreciated that the following work(s) be cited too, when using this dataset in a publication :


Arnaubec Aurelien, Ferrera Maxime, Escartín Javier, Matabos Marjolaine, Gracias Nuno, Opderbecke Jan (2023). Underwater 3D Reconstruction from Video or Still Imagery: Matisse and 3DMetrics Processing and Exploitation Software. Journal Of Marine Science And Engineering, 11(5), 985 (18p.). https://doi.org/10.3390/jmse1105098 5

Credit

This cruise was funded by the French National Oceanographic Fleet.

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Keywords ( Theme )

  • Seafloor litter

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    photomosaic

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    3D textured model

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    Environmental impact

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    Cross-discipline

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    Marine geology

ODATIS aggregation parameters and Essential Variable names ( Theme )
  • Bathymetry
SeaDataNet Parameter Disciplines ( parameter )
  • Cross-discipline , Marine geology
Type de jeux de donnée ODATIS ( Theme )
  • /Observational data/in-situ
Use constraints
Other restrictions
Other constraints
Date ( Publication )
2023

  Publisher

  Author

  Author

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Association Type
Cross reference
Initiative Type
Study
Association Type
Cross reference
Initiative Type
Platform
Metadata language
English
Topic category
  • Oceans
N
S
E
W


Distribution format

  • OBJ

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  • IMAGE

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OnLine resource
Processed data  

3D textured model of litter site (Mediterranean) - color and illumination correction. - 321 MB

OnLine resource
Raw data  

Still images acquired with HROV Arianne during survey of seafloor with litter (303, JPEG format) and associated navigation file (dim2) - 4 GB

OnLine resource
Processed data  

3D textured model of litter site (Mediterranean) - no colour or illumination correction - 195 MB

OnLine resource
DOI of the product  
OnLine resource
Seanoe  
Hierarchy level
Dataset
Statement

HROV Arianne electronic still camera

Metadata

File identifier
seanoe:79024   XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2023-05-12
Metadata standard name

ISO 19115:2003/19139

Metadata standard version

1.0

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