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Author Title Type [ Year(Asc)]
Accepted
Adriano, A. , K. Scott, A. , & Azad, N. Lashgarian. (Accepted). Extreme Gradient Boosting and Deep Learning Models for the Classification of Synthetic Space Debris Light Curves. In AMOS Advanced Maui Optical and Space Surveillance Technologies Conference.
de Loë, L. , Xu, L. , & K. Scott, A. . (Accepted). Fusing ice surface temperature with the AI4Arctic dataset for enhanced sea ice concentration estimation: A preliminary assessment. In IEEE Oceans 2024.
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.
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.
Attiah, G. , Pour, H. Kheyrollah, & K Scott, A. . (Accepted). Lake Surface Temperature Dataset in the North Slave Region Retrieved from Landsat Satellite Series - 1984 to 2021. Earth System Science Data.
2024
Chen, X. , Patel, M. , Cantu, F. Pena, Park, J. , Turnes, J. Noa, Xu, L. , K Scott, A. , et al. (2024). MMSeaIce: Multi-task mapping of sea ice parameters from AI4Arctic sea ice challenge dataset. The Cryosphere. Retrieved from
2023
Soleymani, A. , & K Scott, A. . (2023). Arctic marginal ice zone interannual variability and change point detection using two definitions. Environmental Research Letters, 18(12), 124002. Retrieved from
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
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
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
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.
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
Grace, A. P. , Stastna, M. , Lamb, K. G. , & Scott, K. A. . (2023). Gravity currents in the cabbeling regime. Physical Review Fluids, 8, 014502. Retrieved from
2022
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
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
Saberi, N. , Scott, K. A. , & Duguay, C. . (2022). Incorporating aleatoric uncertainties of lake ice mapping in SARimagery using CNNs. Remote Sensing. Retrieved from
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
Tamber, M. , Scott, K. A. , & Pedersen, L. T. . (2022). Accounting for label errors when training a convolutional neural network to estimate sea ice concentration using operational ice charts. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Retrieved from
Sola, D. , & Scott, K. A. . (2022). Efficient Shallow Network for River Ice Segmentation. Remote Sensing. Retrieved from
2021
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

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