Publications

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[ Author(Asc)] Title Type Year
S
K Scott, A. , & San Lien, F. -. (2010). Application of the NS-α Model to a Recirculating Flow. Flow, Turbulence and Combustion, 84(2), 167-192.
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
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
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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
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
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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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
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Kazemi, S. , Azad, N. L. , K Scott, A. , Oqab, H. B. , & Dietrich, G. B. . (Accepted). Satellite Collision Avoidance Maneuver Planning in Low Earth Orbit using Proximal Policy Optimization. In IEEE World Congress on Computational Intelligence. IEEE.
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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

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