Harmful algal blooms (HABs) pose a significant threat to coastal ecosystems. In recent years, Phaeocystis globosa (P. globosa) blooms have frequently occurred in China’s coastal waters, becoming a significant concern in the region. The latest bloom, occurred in the winter of 2023 in Xiamen Bay, highlights the urgent need for rapid and efficient remote sensing methods to monitor these events. Due to the unique characteristics of P. globosa, which can produce large cysts up to several centimeters in diameter during bloom periods, simply using red tide indices or chlorophyll concentration methods are often inadequate for capturing its features accurately. This study investigates the ability of various satellite sensors to detect and differentiate P. globosa blooms. By integrating multi-source satellite data from HiSea-2, Sentinel-2, Sentinel-3, GOCI-2, and Landsat-8, we assessed the monitoring efficiency for the distribution and abundance of this species, offering new insights into its bloom dynamics.
 

harmful algal blooms (HABs), remote rensing, Xiamen Bay