Zolfaghari, K. ., Hoekstra, M. ., Duguay, C. ., Rudolph, D. ., & D\textquoterightSouza, I. . (2019). Canadian water microsatellite mission - concept design. Yokohama, Japan: IEEE. (Original work published 2019)
Reference author: K. Zolfaghari
First name
K.
Last name
Zolfaghari
Kang, K.-K. ., Hoekstra, M. ., Foroutan, M. ., Chegoonian, A. ., Zolfaghari, K. ., & Duguay, C. . (2019). Operating procedures and calibration of a hyperspectral sensor onboard a remotely piloted aircraft system for water and agriculture monitoring. Yokohama, Japan: IEEE. (Original work published 2019)
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)
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
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)