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Author Title Type Year(Desc)
2019
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
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
2021
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
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.
2022
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
Chen, X., K Scott, A., Xu, L., Jiang, M., & Clausi, D. A.. (2022). Uncertainty-Incorporated Ice and Open WaterDetection on Dual-Polarized SAR Sea Ice Imagery. IEEE Transactions on Geoscience and Remote Sensing. uncertainty-incorporated_ice_and_open_water_detection_on_dual-polarized_sar_sea_ice_imagery.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
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
Tamber, M., Scott, K. A., & Pedersen, L. T.. (2022). Accounting for label errors when training a convolutional neural network to estimate sea ice concentration using operational ice charts. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Retrieved from https://ieeexplore.ieee.org/document/9674865

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