Juan Li
Juan
Li
Research professional
Ocean colour modeling

Research Interests
- Ocean color Remote sensing
- Sea ice optics
- Climate change
Education
2018 - 2022
Joint Ph.D. Oceanography
Université Laval, Québec, Canada and Wuhan University, China
Developing a new ocean color algorithm of the Pan-Arctic Ocean : A synthetic approachSupervisor: Marcel Babin and Xiaoping Pang
2013 - 2022
Mphil - Ph.D., Cartography & Geographic Information System
Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan, Hubei, China
Radiometric cross-calibration of Gaofen-1 WFV cameras using Landsat-8 OLI imagesSupervisor: Xiaoping Pang and Lian Feng
2009 - 2013
B.Sc. Cartography & Geographic Information System
School of Resource and Environmental Science, Wuhan University, Wuhan, Hubei, China
Research Experience
Research professional (2024 - present)
Takuvik International Research Laboratory
Université Laval, Canada
Postdoctorate fellowship (2022 - 2024)
Curtin University - Bio-optical properties and relationships of the Southern Ocean
Perth, Western Australia
Publications
2024
Li, J., Antoine, D. & Huot, Y . (2024). Bio-optical variability of particulate matter in the Southern Ocean. Front. Mar. Sci. https://doi.org/10.3389/fmars.2024.1466037
Li, J., Matsuoka, A., Pang, X., Massicotte, P., & Babin, M. (2024). Performance of Algorithms for Retrieving Chlorophyll a Concentrations in the Arctic Ocean: Impact on Primary Production Estimates. Remote Sensing, 16,892. https://doi.org/10.3390/rs16050892
2023
Li, J., Matsuoka, A., Hooker, SB, Maritorena, S., Pang, X. & Babin, M. (2023). A tuned ocean color algorithm for the Arctic Ocean: a solution for waters with high CDM content. Optics Express, Nov 6;31(23):38494-512. https://doi.org/10.1364/OE.500340
2022
Li, J. (2022). Remote sensing of phytoplankton in the Arctic Ocean: development, tuning and evaluation of new algorithms. PhD thesis https://corpus.ulaval.ca/entities/publication/dea5eb57-9a24-4deb-89e8-aeb24eb1c005
2019
Blix, K., Li J., Massicotte, P., & Matsuoka, A. (2019). Developing a New Machine-Learning Algorithm for Estimating Chlorophyll-a Concentration in Optically Complex Waters: A Case Study for High Northern Latitude Waters by Using Sentinel 3 OLCI[J]. Remote Sensing, 11(18): 2076. https://doi.org/10.3390/rs11182076
Feng, L., Liu, J., Ali, T.A., Li, J., Li, J., & Kuang, X. (2019). Impacts of the decreased freeze-up period on primary production in Qinghai Lake[J]. International Journal of Applied Earth Observation and Geoinformation, 2019, 83: 101915. https://doi.org/10.1016/j.jag.2019.101915
2016
Li, J., Feng, L., Pang, X., Gong, W., & Zhao, X. (2016). Radiometric cross calibration of Gaofen-1 WFV cameras using Landsat-8 OLI images: A simple image-based method. Remote Sensing, 8(5), 1–19. https://doi.org/10.3390/rs8050411
Feng, L., Li, J., Gong, W., Zhao, X., Chen, X., & Pang, X. (2016). Radiometric cross-calibration of Gaofen-1 WFV cameras using Landsat-8 OLI images: A solution for large view angle associated problems. Remote Sensing of Environment, 174, 56-68. https://doi.org/10.1016/j.rse.2015.11.031
