| | Expertise |
Thesaurus term: Marine ecology
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| Projects (2) |
Top | Institute | Projects | Datasets |
- From sky to seafloor observation: Achieving eXcellence in Oceanic surveiLlance and cOnservation Through deep Learning
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- Imaging data and services for aquatic science, more
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| Datasets (13) |
Top | Institute | Projects | Datasets |
| Data products [show] |
- Decrop, W., & Lagaisse, R. (2025). Pre-trained Phytoplankton species classifier Model. Zenodo., more
- Decrop, W., Lagaisse, R., Mortelmans, J., Muyle, J., Amadei Martínez, L., & Deneudt, K. (2025). LifeWatch observatory data: phytoplankton annotated trainingset by FlowCam imaging in the Belgian Part of the North Sea [Data set]. Zenodo., more
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| Data [show] |
- Decrop, W., Lagaisse, R., Jonas, M., Muyle, J., Amadei Martínez, L., & Deneudt, K. (2024). LifeWatch observatory data: phytoplankton annotated trainingset by FlowCam imaging in the Belgian Part of the North Sea (Versie v1). Zenodo., more
- Decrop, W.; Deneudt, K.; Parcerisas, C.; Schall, E.; Debusschere, E.; Flanders Marine Institute; Alfred Wegener Institute for Polar and Marine Research Bremerhaven, Ocean Acoustics Group; (2025): AIS-annotated Hydrophone Recordings for Vessel Classification. Marine Data Archive., more
- Decrop, W.; Parcerisas, C.; Debusschere, E.; Flanders Marine Institute: Belgium; (2025): LifeWatch Broadband acoustic network in the Belgian Part of the North Sea: Dataset annotated with AIS 2022. Marine Data Archive., more
- Decrop, W.; Parcerisas, C.; Debusschere, E.; Flanders Marine Institute: Belgium; (2025): Subset of acoustic data with AIS labels deployment from Grafton station in the Belgian Part of the North Sea, recorded in fall 2022. Marine Data Archive., more
- Lagaisse, Rune, R.; Amadei Martinez, Luz, L.; Decrop, Wout, W.; Deneudt, Klaas, K.; Muyle, Julie, J.; Mortelmans, Jonas, J.; Flanders Marine Institute (VLIZ): Belgium; (2024): LifeWatch observatory data: phytoplankton annotated image library by FlowCam imaging for the Belgian part of the North Sea. Marine Data Archive., more
- phdBerra: PhD thesis Berra, G.: Composition and morpho-functional traits of zooplankton collected by "Mooring Dirigibile Italia" sediment trap: zooplankton observations from sediment traps (2010-2023) in Svalbard Islands (ZooScan), more
- VLIZ observatory data: shipboard underway plankton biodiversity observations by flow-through imaging (Plankton Imager, Pi-10) in the Southern North Sea, more
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| Software/models/scripts [show] |
- Mortelmans, J.; Decrop, W.; Muñiz, C.; Deneudt, K.; Flanders Marine Institute (VLIZ): Belgium; (2026): Pre-trained model and learning set for classification of Southern North Sea plankton images collected by the Plankton Imager (Pi-10): Anasimyia. Marine Data Archive., more
- Mortelmans, J.; Decrop, W.; Muñiz, C.; Deneudt, K.; Flanders Marine Institute (VLIZ): Belgium; (2026): Pre-trained model and learning set for classification of Southern North Sea plankton images collected by the Plankton Imager (Pi-10): Dasysyrphus. Marine Data Archive., more
- Pre-trained model for classification of zooplankton collected by "Mooring Dirigibile Italia" sediment trap collected by the ZooScan, more
- Pre-trained models and learning sets for classification of Southern North Sea plankton images collected by the Plankton Imager (Pi-10), more
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| Publications (6) |
Top | Institute | Projects | Datasets |
| A1 Publications (4) [show] |
 Azmi, E.; Alibabaei, K.; Kozlov, V.; Krijger, T.; Accarino, G.; Ayata, S.-D.; Calatrava, A.; De Carlo, M.M.; Decrop, W.; Elia, D.; Fiore, L.; Francescangeli, M.; Irisson, J.-O.; Lagaisse, R.; Laviale, M.; Lebeaud, A.; Leluschko, C.; Martínez, E.; Moltó, G.; Atake, I.R.; Antonio Augusto, S.N.; Damian, S.; Jesus, S.-G.; Tayyab, M.A.; Tosello, V.; López García, A.; Schaap, D.; Sipos, G. (2025). Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study. Ecological Informatics 91: 103306. https://dx.doi.org/10.1016/j.ecoinf.2025.103306, more- Decrop, W.; Deneudt, D.; Parcerisas, C.; Schall, E.; Debusschere, E. (2025). Transfer learning for distance classification of marine vessels using underwater sound. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 18: 19710-19726. https://dx.doi.org/10.1109/jstars.2025.3593779, more
- Decrop, W.; Lagaisse, R.; Mortelmans, J.; Muñiz, C.; Heredia, I.; Calatrava, A.; Deneudt, K. (2025). Automated image classification workflow for phytoplankton monitoring. Front. Mar. Sci. 12: 1699781. https://dx.doi.org/10.3389/fmars.2025.1699781, more
- Lagaisse, R.; Dillen, N.; Bakeev, D.; Decrop, W.; Focke, P.; Mortelmans, J.; Muyle, J.; Deneudt, K. (2025). Advancing long-term phytoplankton biodiversity assessment in the North Sea using an imaging approach. Scientific Data 12: 1989. https://dx.doi.org/10.1038/s41597-025-06278-w, more
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| Abstracts (2) [show] |
- Decrop, W.; Parcerisas, C.; Schall, E.; Debusschere, E. (2024). AI in marine sciences: detection and classification of marine vessels with underwater acoustic data, in: Mees, J. et al. Book of abstracts – VLIZ Marine Science Day, 6 March 2024, Oostende. VLIZ Special Publication, 91: pp. 26, more
- Lagaisse, R.; Decrop, W.; Deneudt, K. (2024). AI in marine sciences: an open-access integrated environment for automated classification of phytoplankton images, in: Mees, J. et al. Book of abstracts – VLIZ Marine Science Day, 6 March 2024, Oostende. VLIZ Special Publication, 91: pp. 82, more
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