Melt pond from aerial photographs of the Healy–Oden Trans Arctic Expedition (HOTRAX)

The dataset contains mapped melt pond zones from aerial photographs which were obtained during helicopter photography flights as part of the Healy–Oden Trans Arctic Expedition (HOTRAX) between 5 August and 30 September 2005. The detection has been done using an original detection algorithm based on machine learning (U-Net). The areas in the images were divided into four classes: sea ice/snow, melt ponds, sub-merged ice and open water. The filenames contain IDs from the original dataset [Perovich et al 2008].

This work was supported by the Division of Physics at the U.S. National Science Foundation (NSF) through Grant PHY-2102906

Related Organizations

University of Dayton
United States
Chalmers University of Technology
Sweden

Keywords

melt pond, detection, HOTRAX, climate, machine learning

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average