the takuvik
Team

contact takuvik

Département de Biologie /
Pavillon Alexandre-Vachon
1045, av. de la Médecine, local 2064
Université Laval
Québec (Québec) G1V 0A6
Canada
Phone : +1 418 656 2131 ext. 404880

00

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