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. (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.. (2021).
Beluga whale detection in the Cumberland Sound Bay using convolutional neural networks. Canadian Journal of Remote Sensing.. (2021).
Asymmetries in gravity currents attributed to the non-linear equation of state. Journal of Fluid Mechanics.. (2021).
Kinetic energy cascade in stably stratified open-channel flows. Journal of Fluid Mechanics.. (2021).
Extended categorical triple collocation for evaluating sea ice/open water datasets. IEEE Geoscience and Remote Sensing Letters.. (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.. (2020).
Characteristics of near-wall turbulence subjected to strongly-stable stratification. Physical Review Fluids, 25.. (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.. (2020).
Wall turbulence response to surface cooling and formation of strongly stable stratified boundary layer. Physics of Fluids, 26 pages.. (2020).
Data fusion and data assimilation of ice thickness observations using a regularisation framework. Tellus A. Retrieved from doi.org/10.1080/16000870.2018.1564487. (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. (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. (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. (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. (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. (2019).
The impact of assuming a diagonal obervation error covariance matrix on sea ice analyses: Experiments using a 1D toy model. Tellus A, 70(1).. (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.. (2018).
A hierarchical selective ensemble randomized neural network hybridized with heuristic feature selection for estimation of sea-ice thickness. Applied Intelligence, 46(1), 16-33.. (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.. (2017).