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Author [ Title(Asc)] Type Year
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/
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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.
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Atoufi, A. , Scott, K. A. , & Waite, M. . (2021). Kinetic energy cascade in stably stratified open-channel flows. Journal of Fluid Mechanics.
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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
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
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.
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
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).
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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.
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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
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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
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
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
Tan, W. , K Scott, A. , & LeDrew, E. . (2014). Enhanced Arctic Ice Concentration Estimation Merging MODIS Ice Surface Temperature and SSM/I Sea-Ice Concentration. Atmosphere-Ocean, 52(2), 115-124. Retrieved from https://doi.org/10.1080/07055900.2014.883491
Sola, D. , & Scott, K. A. . (2022). Efficient Shallow Network for River Ice Segmentation. Remote Sensing. Retrieved from https://www.mdpi.com/2072-4292/14/10/2378
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K Scott, A. , Buehner, M. , Caya, A. , & Carrieres, T. . (2012). Direct assimilation of AMSR-E brightness temperatures for estimating sea ice concentration. Monthly Weather Review, 140(3), 997-1013. Retrieved from https://doi.org/10.1175/MWR-D-11-00014.1
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
K Scott, A. , & Lien, F. - S. . (2010). A derivation of the NS-α model and preliminary application to plane channel flow. Journal of Turbulence, 11. Retrieved from https://doi.org/10.1080/14685248.2010.498424
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
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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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