ORIGINAL RESEARCH
Monitoring Macroalgae Blooms in the Yellow Sea
during 2022 Based on Huanjingjianzai-2
A/2B Satellite Imagery
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School of Mathematics and Information Science (School of Data Science), Shandong Technology
and Business University, No. 191, Binhai Middle Road, Laishan District, Yantai City 264005, China
Submission date: 2025-05-28
Final revision date: 2025-07-10
Acceptance date: 2025-08-10
Online publication date: 2025-09-29
Corresponding author
Deyu An
School of Mathematics and Information Science (School of Data Science), Shandong Technology
and Business University, No. 191, Binhai Middle Road, Laishan District, Yantai City 264005, China
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ABSTRACT
The differences in spatial resolution between multi-source images can result in noticeable variations
in estimations of the area covered by macroalgae. Even methods like pixel un-mixing and relational
models cannot eliminate this issue entirely. The Huanjingjianzai-2A/2B (HJ-2) satellite’s wide-view
charge-coupled device (CCD) camera provides fine spatial resolution (16 m) and high temporal resolution
(2 days), effectively resolving the problems associated with using images of different resolutions.
This paper evaluated the macroalgae detection capability of HJ-2 CCD and analyzed the spatiotemporal
variations of macroalgae blooms (MABs) in 2022 based on HJ-2 imagery. The results indicated that
the macroalgae detection capability of HJ-2 CCD was on par with that of GF-1 WFV. The spatiotemporal
variation of MABs in 2022 was similar to the variation of previous years. The annual distribution
density level (representing the degree to which MABs were affecting the Yellow Sea) offshore of
Rizhao and Lianyungang during the dissipation phase in 2022 was higher than in the previous years.
These results support the potential of utilizing high-resolution remote sensing for the dynamic
monitoring of MABs in terms of both spatial and temporal aspects.