Enhancing Arctic Resilience through Citizen Science and AI-based Mapping for Marine Pollution Control
Apostolos Papakonstantinou
Civil Engineering & Geomatics Dpt., Cyprus University of Technology, Cyprus
SciDrones PC Spin-Off, Greece
Victor Lion
Kiel University, Department of Geography, Germany,
Arnab Muhuri
Kiel University, Department of Geography, Germany,
Élise Lépy
University of Oulu, Faculty of Humanities, Finland
Thora Herrmann
University of Oulu, Faculty of Humanities, Finland
Natascha Oppelt
Kiel University, Department of Geography, Germany,
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Short summary
Short summary
Melt ponds are key components of the Arctic sea ice system, yet methods to derive comprehensive pond depth data are missing. We present a shallow-water bathymetry retrieval to derive this elementary pond property at high spatial resolution from aerial images. The retrieval method is presented in a user-friendly way to facilitate replication. Furthermore, we provide pond properties on the MOSAiC expedition floe, giving insights into the three-dimensional pond evolution before and after drainage.
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