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.
eISSN:2083-5906
ISSN:1230-1485
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