Téthys: automating a data workflow compiling over 300 years of bathymetric information

Julian Le Deunf (1, 2, 3) , Ronan Jarno (1) , Yann Keramoal (1) , Thierry Schmitt (1) , Morvan Fally (1) , Laurie Biscara (1) , Joseph Dubuis (1)

1 SHOM - Service Hydrographique et Océanographique de la Marine
2 Lab-STICC_DECIDE - Equipe DECIDE
3 IMT Atlantique - LUSSI - Département Logique des Usages, Sciences sociales et Sciences de l'Information

With more than 300 years of existence, the Shom is the oldest active hydrographic service in the world. Compiling and deconflicting that much history is a real challenge. This article will feature the different steps of the workflow allowing Shom to compile over 300 years of bathymetric knowledge. The data access web portal will also be introduced to show the type of user experience built to access this information.

Keywords: ETL; bathymetric data; quality analysis; data fusion and management

Domains: Databases [cs.DB]; Oceanography; Machine Learning [stat.ML]; Computer Science [cs]; Artificial Intelligence [cs.AI]; Environmental Sciences

Julian Le Deunf, Ronan Jarno, Yann Keramoal, Thierry Schmitt, Morvan Fally, et al.. Téthys: automating a data workflow compiling over 300 years of bathymetric information. OCEANS 2021: San Diego – Porto, Sep 2021, San Diego, United States. pp.1-6, ⟨10.23919/OCEANS44145.2021.9705727⟩. ⟨hal-03583756⟩