Publications

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Author Title Type [ Year(Desc)]
2019
Liu, J. , K Scott, A. , & Fieguth, P. . (2019). Detection of marginal ice zone in Synthetic Aperture Radar imagery using curvelet-based features: A case study on the Canadian East Coast. Journal of Applied Remote Sensing, 13(1). Retrieved from doi:10.1117/1.JRS.13.014505 jars_revised.pdf
Xu, Y. , & K Scott, A. . (2019). Impact of intermediate ice concentration training data on sea ice concentration estimates from convolutional neural networks. International Journal of Remote Sensing, 40(15). Retrieved from doi:10.1080/01431161.2019.1582113
Cooke, C. , & K Scott, A. . (2019). Estimating Sea Ice Concentration: Training Convolutional Neural Networks with passive microwave data. IEEE Transactions on Geoscience and Remote Sensing, 57(7), 4735-4747. Retrieved from doi.org/10.1109/TGRS.2019.2892723 cnn_sar_noisy.pdf
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
Scott, K. A. . (2019). Assessment of categorical triple collocation for sea ice/open water observations: Application to the Gulf of Saint Lawrence. IEEE Transactions on Geoscience and Remote Sensing, 57(12), 9659-9673. Retrieved from doi.org/10.1109/TGRS.2019.2928452 tc_ice_water_final_submit.pdf
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 https://www.mdpi.com/2072-4292/13/13/2460
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
Lee, P. , Radhakrishnan, K. , Clausi, D. A. , K Scott, A. , & Xu, L. . (2021). Beluga whale detection in the Cumberland Sound Bay using convolutional neural networks. Canadian Journal of Remote Sensing. Retrieved from https://www.tandfonline.com/doi/abs/10.1080/07038992.2021.1901221?journalCode=ujrs20
Grace, A. , Stastna, M. , Lamb, K. G. , & K Scott, A. . (2021). Asymmetries in gravity currents attributed to the non-linear equation of state. Journal of Fluid Mechanics.
Atoufi, A. , Scott, K. A. , & Waite, M. . (2021). Kinetic energy cascade in stably stratified open-channel flows. Journal of Fluid Mechanics.
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 https://www.mdpi.com/2072-4292/14/3/644
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
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 https://ieeexplore.ieee.org/document/9674865

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