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Author [ Title(Desc)] Type Year
E
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
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
G
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 https://journals.aps.org/prfluids/abstract/10.1103/PhysRevFluids.8.014502?ft=1
H
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.
I
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).
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
Wang, L. , K Scott, A. , & Clausi, D. A. . (2016). Improved sea ice concentration estimation through fusing classified SAR imagery and AMSR-E data. Canadian Journal of Remote Sensing, 42(1), 41-52.
Pour, H. Kheyrollah, Duguay, C. R. , K Scott, A. , & Kang, K. - K. . (2017). Improvement of Lake Ice Thickness Retrieval From MODIS Satellite Data Using a Thermodynamic Model. IEEE Transaction on Geoscience and Remote Sensing, 55(10), 5956-5965. manuscript_kheyrollahpour_et_al.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
K
Atoufi, A. , Scott, K. A. , & Waite, M. . (2021). Kinetic energy cascade in stably stratified open-channel flows. Journal of Fluid Mechanics.
L
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.
M
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 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1297/
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.
N
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
P
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
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
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
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
R
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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