mdiesing.bsky.social
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
👤 Joined on 21 October 2024
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@mdiesing.bsky.socialWe 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....
Show 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...
Show 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.
Show Post....and we are off. See you in 3 weeks Iceland. Smooth seas are making it easy to set up during the long steam to our first station. #arctic #polarScience #KalaallitNunaat #RESPONSE #climatechange @au.dk @samsocean.bsky.social @univbrest.bsky.social @bas.ac.uk @pomp-eu.bsky.social 🧪🦞🌎
Show PostLands end to John o’groats. 1600km, one bike. All to support women subject to domestic abuse. See my live updates and progress at: ridewithmart.co.uk If you can, please donate what you can afford. Thank you.
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