MODIS Sea ice leads detections using a U-Net

Sea ice leads are long and narrow sea ice fractures. Despite accounting for a small fraction of the Arctic surface area, leads play a critical role in the energy flux between the ocean and atmosphere. As the volume of sea ice in the Arctic has declined over recent decades, it is increasingly important to monitor the corresponding changes in sea ice leads. An approach described in Hoffman et al. 2021 uses artificial intelligence (AI) to detect sea ice leads using satellite thermal infrared window data from the Moderate Resolution Imaging Spectroradiometer (MODIS). The AI used to detect sea ice leads in satellite imagery is a particular kind of convolutional neural network, a U-Net. The originally published dataset included only a small case study of results. Here, the dataset is expanded to include the daily detection of leads since 2002 for the season between November through April.

搜集汇总

背景与挑战

背景概述

该数据集利用U-Net神经网络从MODIS卫星数据中检测北极海冰裂缝，覆盖2002-2022年每年冬季（11月至4月）的每日检测结果，数据以压缩的hdf5格式文件提供。