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Zolfaghari, K, Pahlevan, N, Simis, SGH, O'Shea, RE and Duguay, CR 2022 Sensitivity of remotely sensed pigment concentration via Mixture Density Networks (MDNs) to uncertainties from atmospheric correction. Journal of Great Lakes Research. https://doi.org/10.1016/j.jglr.2022.12.010
Zolfaghari, K, Pahlevan, N, Simis, SGH, O'Shea, RE and Duguay, CR 2022 Sensitivity of remotely sensed pigment concentration via Mixture Density Networks (MDNs) to uncertainties from atmospheric correction. Journal of Great Lakes Research. https://doi.org/10.1016/j.jglr.2022.12.010
Zolfaghari, K, Pahlevan, N, Simis, SGH, O'Shea, RE and Duguay, CR 2022 Sensitivity of remotely sensed pigment concentration via Mixture Density Networks (MDNs) to uncertainties from atmospheric correction. Journal of Great Lakes Research. https://doi.org/10.1016/j.jglr.2022.12.010
Mandryk, RR, Capelle, DW, Manning, CCM, Tortell, P, McCulloch, RD and Papakyriakou, T 2021 First estimation of the diffusive methane flux and concentrations from Lake Winnipeg, a large, shallow and eutrophic lake. Journal of Great Lakes Research, 47 (3). 741-750. https://doi.org/10.1016/j.jglr.2021.03.011
Zolfaghari, K, Pahlevan, N, Simis, SGH, O'Shea, RE and Duguay, CR 2022 Sensitivity of remotely sensed pigment concentration via Mixture Density Networks (MDNs) to uncertainties from atmospheric correction. Journal of Great Lakes Research. https://doi.org/10.1016/j.jglr.2022.12.010
Zolfaghari, K, Pahlevan, N, Simis, SGH, O'Shea, RE and Duguay, CR 2022 Sensitivity of remotely sensed pigment concentration via Mixture Density Networks (MDNs) to uncertainties from atmospheric correction. Journal of Great Lakes Research. https://doi.org/10.1016/j.jglr.2022.12.010
Zolfaghari, K, Pahlevan, N, Simis, SGH, O'Shea, RE and Duguay, CR 2022 Sensitivity of remotely sensed pigment concentration via Mixture Density Networks (MDNs) to uncertainties from atmospheric correction. Journal of Great Lakes Research. https://doi.org/10.1016/j.jglr.2022.12.010