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) é um usuário do Bluesky desde 21 outubro 2024. Tem 123 seguidores, segue 162 contas e publicou 53 posts.
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Wie stark belastet #Grundschleppnetzfischerei den #Ostsee #Meeresgrund? Mit hochauflösenden #Echolotmessungen & #KI machten Forschende @ostseeforschung.bsky.social bislang unzureichend erfasste Eingriffe sichtbar und fanden sogar #Fischereiverstöße in einem #Meeresschutzgebiet.👉 tinyurl.com/bp7ms6sh
Ver postBesonders 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...
Ver postWe wrote a paper, really close to my heart about how #politics need to do more to #protect vital and unique #ecosystems in the #poles. Not just because of #ClimateChange but also for future generations. 🧪🌎🦞 @pomp-eu.bsky.social doi.org/10.1111/gcb....
Ver post«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...
Ver postGreetings 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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