Carrea, L., etaux, J.-F. C., Liu, X., Wu, Y., Berge-Nguyen, M., Calmettes, B., … 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)
Reference author: C.R. Duguay
First name
C.R.
Last name
Duguay
Antonova, S., Duguay, C., Kaab, A., Heim, B., Langer, M., Westermann, S., & Boike, J. (2016). Monitoring ice phenology and bedfast ice in lakes of the Lena River Delta using TerraSAR-X backscatter and coherence time series Remote Sensing, 8. Retrieved from http://www.mdpi.com/2072-4292/8/11/903
Zolfaghari, K., Pahlevan, N., Binding, C., Gurlin, D., Simis, S., u, R. V., … 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)
Chegoonian, A., Zolfaghari, K., Leavitt, P., Baulch, H., & Duguay, C. (2022). Improvement of field fluorometry estimates of chlorophyll-a concentration in a cyanobacteria-rich eutrophic lake Limnology and Oceanography: Methods, 1-17. Retrieved from https://doi.org/10.1002/lom3.10480 (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
Ghiasi, Y., Farzaneh, S., Parvazi, K., & Duguay, C. (2021). Amplitude estimation of dominant tidal constituents using GNSS interferometric reflectometry technique Brussels, Belgium: IEEE. https://doi.org/10.1109/IGARSS47720.2021.9554876 (Original work published 2021)
Chegoonian, A., Zolfaghari, K., Baulch, H., & Duguay, C. (2021). Support vector regression for chlorophyll-a estimation using Sentinel-2 images in small waterbodies IEEE. https://doi.org/10.1109/IGARSS47720.2021.9554110 (Original work published 2021)
Murfitt, J., & Duguay, C. (2020). Assessing the performance of methods for monitoring ice phenology of the world\textquoterights largest high arctic lake using high density time series analysis of Sentinel-1 data Remote Sensing, 12. https://doi.org/doi:10.3390/rs12030382 (Original work published 2020)
Glass, B., Rudolph, D., Duguay, C., & Wicke, A. (2020). Identifying groundwater discharge zones in Northern Canada using remotely sensed optical and thermal imagery Canadian Journal of Earth Sciences. https://doi.org/10.1139/cjes-2019-0169 (Original work published 2020)
Bergstedt, H., Bartsch, A., Duguay, C., & Jones, B. (2020). Influence of surface water on coarse resolution C-band backscatter: Implications for freeze/thaw retrieval from scatterometer data Remote Sensing of Environment, 247. Retrieved from https://doi.org/10.1016/j.rse.2020.111911 (Original work published 2020)