Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study
2016 · IEEE Transactions on Geoscience and Remote Sensing · 214 citations
https://doi.org/10.1109/tgrs.2016.2543660
K
K. Andrea Scott
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K. Andrea Scott is an academic researcher from University of Waterloo. The author has contributed to research in topics: Arctic and Antarctic ice dynamics & Cryospheric studies and observations & Climate change and permafrost. The author has an h-index of 20, co-authored 94 publications.
ORCID: 0000-0003-3922-8777Papers by this author
worksA comparative study of data input selection for deep learning-based automated sea ice mapping
2024 · International Journal of Applied Earth Observation and Geoinformation · 9 citations
https://doi.org/10.1016/j.jag.2024.103920
High Resolution Sea Ice Concentration Using a Sentinel-1 U-Net Ice-Water Classifier
2025 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 3 citations
https://doi.org/10.1109/jstars.2025.3553623
On the definition of the marginal ice zone: a case study with SAR and passive microwave data
2024 · Environmental Research Communications · 1 citations
https://doi.org/10.1088/2515-7620/ad82b4
Deep graph neural networks for spatiotemporal forecasting of sub-seasonal sea ice: A case study in Hudson Bay
2025 · Applied Ocean Research · 1 citations
https://doi.org/10.1016/j.apor.2025.104793
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