Preliminary Analysis of the Impact of Sea Surface Chlorophyll Concentration on GNSS-R Data

Chlorophyll concentration is a crucial indicator of marine primary productivity and the health of ocean ecosystems. Traditional optical sensor-based monitoring methods face challenges such as cloud cover and varying light conditions. In contrast, global navigation satellite system reflectometry (GNSSR) offers a promising alternative for ocean remote sensing, but its application for chlorophyll concentration estimation remains largely unexplored. This study investigates the impact of chlorophyll concentration on GNSS-R data using a two-stage framework, where the first stage investigates the relationship between mean square slope (MSS) and significant wave height (SWH) under varying chlorophyll conditions and the second stage evaluates the variations of MSS with chlorophyll concentration across distinct wave conditions. Through various fitting models, this preliminary analysis explores the impact of chlorophyll concentration on GNSS-R data, highlighting its potential for chlorophyll estimation.