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...

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Bibliographic Details
Main Authors: Ivan Sudakow, Vijayan Asari, Ruixu Liu, Denis Demchev
Format: Dataset
Language:English
Published: 2022
Subjects:
melt pond
detection
HOTRAX
climate
machine learning
Arctic
Sea ice
Online Access:https://zenodo.org/record/6602409
https://doi.org/10.5281/zenodo.6602409
Description
Summary: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

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