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- 46796 type ConferencePaper assertion.
- 46796 type Resource assertion.
- 46796 type MediaObject assertion.
- 46796 description "Geo-referenced data plays a crucial role in understanding and conserving natural resources, particularly in studying biolog- ical processes such as fish migration. Biologging, which in- volves attaching small devices to animals to track their behav- ior and gather environmental data, is a valuable tool in this regard. However, tracking fish directly underwater remains challenging. To address this, models have been developed to geolocate fish by utilizing temperature and pressure data from biologging devices and comparing them with ocean tempera- ture and bathymetry models as reference data. When applying these models, the accuracy and resolution of the reference data has a significant impact on the quality of reconstructed fish trajectories. With recent advancements in earth observation technology and modeling techniques like digital twins, huge amounts of earth science datasets are avail- able. However, the large size and limited accessibility of these datasets, as well as the computational requirements for anal- ysis, present technical obstacles. The Pangeo ecosystem was created by a community of engineers and geoscientists specifically to address these challenges. Making use of these new tools and to leverage the advancements in biodiversity research, a software called pangeo-fish has been developed. This paper focuses on its development for studying the movement of the European sea bass (Dicentrarchus labrax)." assertion.
- 46796 dateCreated "2024-09-04 07:21:23.603772+00:00" assertion.
- 46796 name "Pangeo For Studying Fish Movement Using Bio-logging And Earth Science Data" assertion.
- 46796 contentUrl "https://doi.org/10.2760/46796" assertion.
- 46796 creator 0000-0002-1784-2920 assertion.
- 46796 dateModified "2024-09-04 07:21:38.806226+00:00" assertion.
- 46796 license no-permission assertion.
- 46796 sdDatePublished "2024-09-04 07:21:23.603772+00:00" assertion.
- 46796 author 0000-0002-1784-2920 assertion.