Author Title Type [ Year(Asc)]
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
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 (submitted). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
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.
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.
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.
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. nn_ice_water_revised.pdf
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.
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
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 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
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 tc_ice_water_final_submit.pdf
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.
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.