Marine Biodiversity and Ecosystem Functioning
EU Network of Excellence

 
Main Menu

· Home
· Contacts
· Data Systems
· Documents
· FAQ
· Links
· MarBEF Open Archive
· Network Description
· Outreach
· Photo Gallery
· Quality Assurance
· Register of Resources
· Research Projects
· Rules and Guidelines
· Training
· Wiki
· Worldconference

 

Register of Resources (RoR)

 People  |  Datasets  |  Literature  |  Institutes  |  Projects 

[ report an error in this record ]basket (1): add | show Print this page

one publication added to basket [383285]
Towards a toolbox for automating the AUV Barabas data flow embracing FAIR principles
Cruz Novo, R.; Ponsoni, L.; Fourie, F.-W.; Develter, R.; Langedock, K.; Boone, W. (2024). Towards a toolbox for automating the AUV Barabas data flow embracing FAIR principles, in: Mees, J. et al. Book of abstracts – VLIZ Marine Science Day, 6 March 2024, Oostende. VLIZ Special Publication, 91: pp. 61
In: Mees, J.; Seys, J. (Ed.) (2024). Book of abstracts – VLIZ Marine Science Day, 6 March 2024, Oostende. VLIZ Special Publication, 91. Flanders Marine Institute (VLIZ): Oostende. vii + 130 pp. https://dx.doi.org/10.48470/71
In: VLIZ Special Publication. Vlaams Instituut voor de Zee (VLIZ): Oostende. ISSN 1377-0950

Available in  Authors 
Document type: Summary

Keyword
    Marine/Coastal
Author keywords
    Autonomous Underwater Vehicle (AUV); Marine Robotics; FAIR; Data Processing; NetCDF

Authors  Top 
  • Cruz Novo, R.
  • Ponsoni, L.
  • Fourie, F.-W.
  • Develter, R.
  • Langedock, K.
  • Boone, W.

Abstract
    Marine Autonomous Systems have been developing at a fast pace over the last few years, boosting our ocean observing capabilities in different sectors (e.g., ocean science, offshore energy, and defense) and directions (e.g., improved data quality, better spatial coverage, and new solutions for near-real-time data transfer) [1]. Particularly, Robotics Systems are playing a key role in rapidly feeding a new generation of datasets due to their autonomy, adaptative nature, and ability to explore harsh and remote regions [2]. At the same time, new strategies for data management, including data processing and data flow, must be implemented to fully embrace FAIR (Findability, Accessibility, Interoperability, and Reusability) principles [3,4]. Only by doing so, this new generation of datasets will be fully usable by end-users and, therefore, contribute to major initiatives such as Operational Forecast Systems [5, 6] and the Global Ocean Observing System (GOOS) [7].As part of the Flanders Marine Institute’s robotic fleet, the Autonomous Underwater Vehicle (AUV) Barabas (a vehicle from Teledyne Gavia) has already contributed to different research projects, gathering a broad range of datasets, from side scan sonar imagery and optical measurements (backscattering and fluorescence) to key environmental parameters (temperature, conductivity, and currents). However, the journey into the ocean's depths is not without challenges, particularly in the field of AUV data processing. The intricate nature of file formats and the disparity between scientific and navigation time stamps present challenges. To address these challenges, this work explores solutions towards a toolbox for automating the AUV Barabas data processing and data flow.Inspired by already suggested frameworks for FAIR robotic datasets [1], and established tools that have been broadly used by the marine robotics community (e.g., PyGlider) [8], we are developing a Python toolbox to streamline the generation of standardized NetCDF files, serving as a cohesive repository of information from various AUV modules and sensors. The NetCDF format provides users with a unified, broadly used format for accessing comprehensive AUV-measured variables alongside essential metadata. The toolbox also categorizes data into processing levels, distinguishing between Level A1 (unaltered data) and Level A2 which features processed AUV data enriched with derived parameters calculated from measured data. This automated approach ensures systematic data manipulation, fostering efficiency and precision. The toolbox is structured in a way that it can be improved by external contributors, as an open-source development, and extended to other robotic devices in the future.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors 


If any information here appears to be incorrect, please contact us
Back to Register of Resources
 
Quick links

MarBEF WIKI

Erasmus Mundus Master of Science in Marine Biodiversity and Conservation (EMBC)
Outreach

Science
Responsive Mode Programme (RMP) - Marie Nordstrom, copyright Aspden Rebecca

WoRMS
part of WoRMS logo

ERMS 2.0
Epinephelus marginatus Picture: JG Harmelin

EurOBIS

Geographic System

Datasets

 


Web site hosted and maintained by Flanders Marine Institute (VLIZ) - Contact data-at-marbef.org