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      • SAF08 - Mapping of regional/global distributions of blue carbon resources

          • SAF08 - Mapping of regional/global distributions of blue carbon resources
            • Curioso Photography on Unsplash
          • San Francisco

          • Individual
          • Department of Marine & Coastal Sciences
            Rutgers University
            71 Dudley Road, New Brunswick, NJ, 08901
          • Problem:
            Blue carbon – mangroves, marshes, and seagrasses – provide important ecosystem services and are extremely carbon-dense, storing 2 to 4x as much carbon as terrestrial forests. All emission scenarios for keeping atmospheric CO2 levels below the threshold needed to achieve <1.5°C global warming rely on a significant amount of carbon removal and storage. Such scenarios often include preservation and reforestation of terrestrial forests, but carbon sequestration through conservation and restoration of blue carbon ecosystems is often overlooked. Despite this carbon storage opportunity, the global extent of blue carbon ecosystems has declined over the past century.

            Situation & Idea:
            Many nations have significant blue carbon wealth and storage potential along their coastlines. However, our knowledge of the extent of current ecosystems is coarse, how climate change affects carbon storage in mature and restored blue carbon ecosystems is poorly understood, and our ability to monitor blue carbon ecosystems through remote sensing data is limited. Such remote sensing capability would enable nations to better gauge and monitor their own blue carbon resources, continuously monitor ongoing restoration projects, and enable international bodies to objectively evaluate the blue carbon wealth of nations. While image recognition using transfer learning from deeply learned pretrained models holds great promise for satellite imagery, very few applications targeting blue carbon have been explored.
          • What the challenge owner would like to develop over 48h
          • In this challenge, you will train a deep learning model to classify different blue carbon ecosystem classes from NASA satellite data and enable more detailed global maps of the extent of blue carbon ecosystems and their changes over time.
          • Which skills the challenge owner is looking for
          • Computer science
            Deep learning
            Transfer learning
            Image recognition
            Marine Scientist
Campus mondial de la mer
Technopôle Brest-Iroise
525, Avenue Alexis de Rochon
29280 Plouzané
  • Brest Métropole
  • Région Bretagne
  • https://www.tech-brest-iroise.fr/
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