Publications
. (2007).
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). Sea ice concentration estimation during freeze-up from SAR imagery using a convolutional neural network. Remote Sensing, 9(5).
. (2017). Improved sea ice concentration estimation through fusing classified SAR imagery and AMSR-E data. Canadian Journal of Remote Sensing, 42(1), 41-52.
. (2016). Sea ice concentration estimation during melt from dual-pol SAR scenes using deep convolutional neural networks: A case study. IEEE Transactions on Geoscience and Remote Sensing, 54(8), 4524-4533. Retrieved from doi:10.1109/TGRS.2016.2543660
. (2016). 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
. (2023). 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
. (2014). 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
. (2022). 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). Arctic marginal ice zone interannual variability and change point detection using two definitions. Environmental Research Letters, 18(12), 124002. Retrieved from https://iopscience.iop.org/article/10.1088/1748-9326/ad0609
. (2023). Passive microwave sea ice edge displacement error over the eastern Canadian Arctic 2013-2021. Canadian Journal of Remote Sensing.
. (2023). Efficient Shallow Network for River Ice Segmentation. Remote Sensing. Retrieved from https://www.mdpi.com/2072-4292/14/10/2378
. (2022). Extended categorical triple collocation for evaluating sea ice/open water datasets. IEEE Geoscience and Remote Sensing Letters. tc_ice_water_dependent.pdf
. (2020). 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
. (2019). 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). Assimilation of ice and water observations from SAR imagery to improve estimates of sea ice concentration. Tellus A, 67. Retrieved from https://doi.org/10.3402/tellusa.v67.27218
. (2015). An assessment of sea-ice thickness along the Labrador coast from AMSR-E and MODIS data for operational data assimilation. IEEE Transactions on Geoscience and Remote Sensing, 52(5), 2726-2737. Retrieved from 10.1109/TGRS.2013.2265091
. (2014). 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
. (2013). 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
. (2012). 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
. (2010).