STARDUST II - Spatial and Temporal Assessment of high Resolution Depth profiles Using novel Sampling Technologies
The fate of pollutants in fluvial and marine sediments in cross-border zones
Introduction Objectives News Downloads Data System Pictures Partners

Data System

People |  Institutes |  Publications |  Datasets |  Data (login)

[ meld een fout in dit record ]mandje (0): toevoegen | toon Print deze pagina
Assessing East African coral reef associated fish diversity using underwater video census (UVC) and machine learning
Gerard, J.; Branger, L.; Di Bella, L.; Huyghe, F.; Rumisha, C.; Mung, C.; Otwoma, L.M.; Kochzius, M. (2025). Assessing East African coral reef associated fish diversity using underwater video census (UVC) and machine learning, in: Mees, J. et al. Book of abstracts – VLIZ Marine Science Day, 5 March 2025, Brugge. VLIZ Special Publication, 94: pp. 72
In: Mees, J.; Seys, J. (Ed.) (2025). Book of abstracts – VLIZ Marine Science Day, 5 March 2025, Brugge. VLIZ Special Publication, 94. Flanders Marine Institute (VLIZ): Oostende. vii + 151 pp. https://dx.doi.org/10.48470/114
In: VLIZ Special Publication. Vlaams Instituut voor de Zee (VLIZ): Oostende. ISSN 1377-0950
Beschikbaar in  Auteurs 
Documenttype: Samenvatting
Auteurs  Top 
  • Gerard, J.
  • Branger, L.
  • Di Bella, L.
  • Huyghe, F.
  • Rumisha, C.
  • Mung, C.
  • Otwoma, L.M.
  • Kochzius, M.
Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid Top | Auteurs 
STARDUST II is a project funded by the INTERREG III A programme (France/Walloon Region/Flanders French-Flemish subprogramme) of the European Community's Regional Development Fund.
Hosted by the Flanders Marine Institute (VLIZ)