Publications
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). . (2017). . (2021).
Region-level labels in ice charts can produce pixel-level segmentation for sea ice types. In International Conference on Learning Representations (ICLR). May 2024.
. (Accepted). 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
. (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
. (2017). 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
. (2021). Resolution enhanced sea ice concentration: A new algorithm applied to AMSR2 microwave radiometry data. Annals of Glaciology. Retrieved from https://www.cambridge.org/core/journals/annals-of-glaciology/article/resolution-enhanced-sea-ice-concentration-a-new-algorithm-applied-to-amsr2-microwave-radiometry-data/3F83D752D15933B4BE23E442CA5B9CEE
. (2023). Incorporating aleatoric uncertainties of lake ice mapping in SARimagery using CNNs. Remote Sensing. Retrieved from https://www.mdpi.com/2072-4292/14/3/644
. (2022). 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
. (2020). 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). Application of the NS-α Model to a Recirculating Flow. Flow, Turbulence and Combustion, 84(2), 167-192.
. (2010). Efficient Shallow Network for River Ice Segmentation. Remote Sensing. Retrieved from https://www.mdpi.com/2072-4292/14/10/2378
. (2022).