Markus Diesing
@mdiesing.bsky.social did:plc:a3a3nt5h2muwtyzh7gixnnnu
Leveraging machine learning to map seabed sediments and their properties. Views are my own. Based at the Geological Survey of Norway: https://www.ngu.no/en Google Scholar: https://scholar.google.co.uk/citations?user=4CjgdJAAAAAJ&hl=en
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Markus Diesing (@mdiesing.bsky.social), 21 Ekim 2024 tarihinde katılan bir Bluesky kullanıcısı. 123 takipçisi var, 162 hesabı takip ediyor ve 52 post paylaştı.
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Besonders wertvoll und schön - der Austausch mit Lise Klaveness, die "nebenbei" noch Interviews in norwegischen Medien gibt und dabei wie selbstverständlich einen St. Pauli-Hoodie trägt...
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Postu göster«All models are wrong, but are useful». Our 🌊WAVE EXPOSURE MODEL🌊 is now available. So everyone can use it. Not for navigation and safety at sea, but to find e.g. areas most likely to have eelgrass (sheltered) or L. hyperborea kelp (exposed). dataleveranser.miljodirektoratet.no/nedlasting/4...
Postu gösterGreetings from the Midwest of Norway (the Trondheim fjord), where we these days survey seagrass meadows as part of the natural monitoring under the Norwegian implementations of the EU Water Framwork Directive.
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