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Author Title Type Year(Asc)
2021
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.
2020
K. Scott, A.. (2020). Extended categorical triple collocation for evaluating sea ice/open water datasets. IEEE Geoscience and Remote Sensing Letters. tc_ice_water_dependent.pdf
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
Atoufi, A., Waite, M., & Scott, K. A.. (2020). Characteristics of near-wall turbulence subjected to strongly-stable stratification. Physical Review Fluids, 25. asw20.pdf
Asadi, N., K Scott, A., Komarov, A. S., Buehner, M., & Clausi, D. A.. (2020). Evaluation of a neural network for detection of ice and water in SAR imagery and the role of uncertainty information. IEEE Transactions on Geoscience and Remote Sensing. Retrieved from https://ieeexplore.ieee.org/document/9112220
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
2019
Asadi, N., K Scott, A., & Clausi, D. A.. (2019). Data fusion and data assimilation of ice thickness observations using a regularisation framework. Tellus A. Retrieved from doi.org/10.1080/16000870.2018.1564487
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
2018
Stonebridge, G., K Scott, A., & Buehner, M.. (2018). The impact of assuming a diagonal obervation error covariance matrix on sea ice analyses: Experiments using a 1D toy model. Tellus A, 70(1).
K Scott, A., Chen, C., & Myers, P. G.. (2018). Assimilation of Argo temperature and salinity profile using a bias-aware EnOI scheme for the Labrador Sea. Journal of Atmospheric and Oceanic Technology, 35(9), 1819-1834.
2017
Mozaffari, A., K Scott, A., & Azad, N. L.. (2017). A hierarchical selective ensemble randomized neural network hybridized with heuristic feature selection for estimation of sea-ice thickness. Applied Intelligence, 46(1), 16-33.
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.
Pogson, L., Geldsetzer, T., Buehner, M., Carrieres, T., Ross, M., & K Scott, A.. (2017). Collecting Empirically Derived SAR Characteristic Values over One Year of Sea Ice Environments for Use in Data Assimilation. Monthly Weather Review, 145(1), 323-334. Retrieved from https://doi.org/10.1175/MWR-D-16-0110.1

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