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Author [ Title(Asc)] Type Year
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Chen, X. , Patel, M. , Xu, L. , Chen, Y. , K Scott, A. , & Clausi, D. A. . (2023). Weakly supervised learning for sea ice concentration extraction using AI4Arctic sea ice challenge dataset. IEEE Geoscience and Remote Sensing Letters, 21. Retrieved from https://ieeexplore.ieee.org/document/10335753
Atoufi, A. , Scott, K. A. , & Waite, M. . (2020). Wall turbulence response to surface cooling and formation of strongly stable stratified boundary layer. Physics of Fluids, 26 pages. Retrieved from https://aip.scitation.org/doi/10.1063/1.5109797
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Saberi, N. , Kelly, R. , Pan, J. , Durand, M. , Goh, J. , & Scott, K. A. . (2020). The use of a Monte Carlo Markov Chain method for snow water equivalent retrievals: A case study based on airborne microwave observations and emission modeling experiments of tundra snow. IEEE Transactions on Geoscience and Remote Sensing, 14. Retrieved from https://ieeexplore.ieee.org/document/9138727
Chen, X. , K Scott, A. , Xu, L. , Jiang, M. , & Clausi, D. A. . (2022). Uncertainty-Incorporated Ice and Open WaterDetection on Dual-Polarized SAR Sea Ice Imagery. IEEE Transactions on Geoscience and Remote Sensing. uncertainty-incorporated_ice_and_open_water_detection_on_dual-polarized_sar_sea_ice_imagery.pdf
Nagi, A. S. , Kumar, D. , Sola, D. , & Scott, K. A. . (2021). UF: Effective Sea Ice Floe Segmentation Using End-to-End RES-UNET-CRF. Remote Sensing. Retrieved from https://www.mdpi.com/2072-4292/13/13/2460
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Sea ice surface temperature estimation using MODIS and AMSR-E data within a guided variational model along the Labrador Coast. (2014). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(9), 3685-3694.
Radhakrishnan, K. , Scott, K. A. , & Clausi, D. A. . (2021). Sea Ice Concentration Estimation: Using PassiveMicrowave and SAR Data with a U-net and Curriculum Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 5339 - 5351. Retrieved from https://ieeexplore.ieee.org/document/9416884
Wang, L. , K Scott, A. , Xu, L. , & Clausi, D. A. . (2016). Sea ice concentration estimation during melt from dual-pol SAR scenes using deep convolutional neural networks: A case study. IEEE Transactions on Geoscience and Remote Sensing, 54(8), 4524-4533. Retrieved from doi:10.1109/TGRS.2016.2543660
Wang, L. , K Scott, A. , & Clausi, D. A. . (2017). Sea ice concentration estimation during freeze-up from SAR imagery using a convolutional neural network. Remote Sensing, 9(5).
Chen, X. , K Scott, A. , Jiang, M. , Fang, Y. , Xu, L. , & Clausi, D. A. . (2023). Sea ice classification with dual-polarized SAR imagery: a hierarchical pipeline. In First Workshop on Maritime Computer Vision (MaCVi). The Computer Vision Foundation. chen_sea_ice_classification_with_dual-polarized_sar_imagery_a_hierarchical_pipeline_wacvw_2023_paper.pdf
Kazemi, S. , Azad, N. L. , K Scott, A. , Oqab, H. B. , & Dietrich, G. B. . (Accepted). Satellite Collision Avoidance Maneuver Planning in Low Earth Orbit using Proximal Policy Optimization. In IEEE World Congress on Computational Intelligence. IEEE.
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Rusin, J. , Lavergne, T. , Doulgeris, A. Paul, & Scott, K. A. . (2023). Resolution enhanced sea ice concentration: A new algorithm applied to AMSR2 microwave radiometry data. Annals of Glaciology. Retrieved from https://www.cambridge.org/core/journals/annals-of-glaciology/article/resolution-enhanced-sea-ice-concentration-a-new-algorithm-applied-to-amsr2-microwave-radiometry-data/3F83D752D15933B4BE23E442CA5B9CEE
Patel, M. , Xu, L. , Chen, X. , Scott, A. , & Chen, Y. . (Accepted). Region-level labels in ice charts can produce pixel-level segmentation for sea ice types. In International Conference on Learning Representations (ICLR). May 2024.
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Asadi, N. , Lamontagne, P. , King, M. , Richard, M. , & Scott, K. A. . (2022). Probabilistic Spatio-temporal Seasonal Sea Ice Presence Forecastingusing Sequence-to-Sequence Learning and ERA5 data in the Hudson Bay region. The Cryosphere. probabilistic_sea_ice_forecasting_nrc.pdf
K Scott, A. , Buehner, M. , Caya, A. , & Carrieres, T. . (2013). A preliminary evaluation of the impact of assimilating AVHRR data on sea ice concentration analyses. Remote Sensing of Environment, 128, 212-223. Retrieved from https://doi.org/10.1016/j.rse.2012.10.003
Valencia, R. , Chen, X. , & K. Scott, A. . (2023). Predicting Sea Ice Concentration with Calibrated Uncertainty Quantification using Passive Microwave and Reanalysis Data: A Case Study in Baffin Bay. IEEE Transcations on Geoscience and Remote Sensing. sic_uncertainty_tgrs_paper_revision.pdf
Soleymani, A. , & K. Scott, A. . (2023). Passive microwave sea ice edge displacement error over the eastern Canadian Arctic 2013-2021. Canadian Journal of Remote Sensing.
Marshall, S. , K Scott, A. , & Scharien, R. . (2019). Passive microwave melt onset retrieval with a variable threshold: Assessment in the Canadian Arctic Archipelago. Remote Sensing. Retrieved from doi.org/10.3390/rs11111304
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Grace, A. , Stastna, M. , Lamb, K. G. , & Scott, K. A. . (2022). Numerical simulations of the three-dimensionalization of a shear flow in radiatively forced cold water below the density maximum. Physical Review Fluids. Retrieved from https://journals.aps.org/prfluids/accepted/1807eS60X0a11a02314214a6e1b4b7f1ad2cdd686
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Mozaffari, A. , K Scott, A. , Chenouri, S. , & Azad, N. L. . (2017). A modular ridge randomized neural network with differential evolutionary distributor applied to the estimation of sea ice thickness. Soft Computing, 21(16), 4635-4659.

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