Abstract
By inverting the changes in chlorophyll-a (chl-a) concentration values, seawater’s pollution level and phytoplankton’s growth can be effectively assessed. In this paper, based on Sentinel-3 OLCI remote sensing image data and actual measured chl-a concentration data, the Gaussian Process Regression (GPR) model was used to invert the surface chl-a concentration in Hong Kong waters in 2018, and the average R2 of GPR model inversion was 0.68. The results show a clear vertical decreasing variation feature based on the GPR model to invert the chl-a concentrations in the surface, middle, and bottom layers of Hong Kong waters month by month in 2018.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Earth and Environmental Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
