Reference author: S.G.H. Simis

Carrea, L. ., etaux, J.-F. C., Liu, X. ., Wu, Y. ., Berge-Nguyen, M. ., Calmettes, B. ., Duguay, C. ., Merchant, C. ., Selmes, N. ., Simis, S. ., Warren, M. ., esou, H. Y., Müller, D. ., Jiang, D. ., & Albergel, C. . (2023). Multivariate world-wide lake physical variable timeseries for climate studies. Scientific Data, 10, 1-28. Retrieved from https://doi.org/10.1038/s41597-022-01889-z (Original work published 2023)

Zolfaghari, K. ., Pahlevan, N. ., Binding, C. ., Gurlin, D. ., Simis, S. ., u, R. V., Li, L. ., Crawford, C. ., VanderWoude, A. ., Errera, R. ., Zastepa, A. ., & Duguay, C. . (2022). Impact of spectral resolution on quantifying cyanobacteria in lakes and reservoirs: A machine-learning assessment. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-20. https://doi.org/10.1109/TGRS.2021.3114635 (Original work published 2022)

Zolfaghari, K. ., Pahlevan, N. ., Simis, S. ., O\textquoterightShea, R. ., & Duguay, C. . (2022). Sensitivity of remotely sensed pigment concentration via mixture density networks (MDNs) to uncertainties from atmospheric correction. Journal of Great Lakes Research, 1-16. Retrieved from https://doi.org/10.1016/j.jglr.2022.12.010