[HTML][HTML] Recent developments in artificial intelligence in oceanography

C Dong, G Xu, G Han, BJ Bethel, W ** with a multi-task model
X Chen, M Patel, FJ Pena Cantu, J Park… - The …, 2024 - tc.copernicus.org
The AutoICE challenge, organized by multiple national and international agencies, seeks to
advance the development of near-real-time sea ice products with improved spatial …

Routeview: An intelligent route planning system for ships sailing through Arctic ice zones based on big Earth data

A Wu, T Che, X Li, X Zhu - International Journal of Digital Earth, 2022 - Taylor & Francis
The potential of Arctic routes (ARs) has attracted global attention, and exploiting the Arctic
has become an important strategy for many countries. However, there are still some …

Intercomparison of Arctic sea ice backscatter and ice type classification using Ku-band and C-band scatterometers

Z Zhang, Y Yu, M Shokr, X Li, Y Ye… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
As a result of global warming, multiyear ice (MYI) is being replaced by first-year ice (FYI) in
the Arctic. Microwave scatterometers in the Ku-band and C-band can provide daily …

Si-stsar-7: A large sar images dataset with spatial and temporal information for classification of winter sea ice in hudson bay

W Song, W Gao, Q He, A Liotta, W Guo - Remote Sensing, 2021 - mdpi.com
Remote sensing satellites have been broadly applied to sea ice monitoring. The substantial
increase in satellite imagery provides a large amount of data support for deep learning …

The AutoICE Challenge

A Stokholm, J Buus-Hinkler, T Wulf, A Korosov… - The …, 2024 - tc.copernicus.org
Map** sea ice in the Arctic is essential for maritime navigation, and growing vessel traffic
highlights the necessity of the timeliness and accuracy of sea ice charts. In addition, with the …