Characterizing distribution patterns of small algae patches across the northern and southern sides of the Yellow Sea front using synchronous CZI-MODIS images
文献类型：期刊论文
| 作者 | Yin, Ziyao1,7; Tang, Jun1; Lu, Yingcheng1; Liu, Yuru1; Duan, Haimei1; Jiao, Junnan1; Xing, Qianguo4; Li, Junsheng3,5,6; Liu, Yongxue2 |
| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 2025-05-19 |
| 卷号 | 46期号:10页码:3831-3850 |
| 关键词 | optical remote sensing Green tide Small algae patches Yellow Sea |
| ISSN号 | 0143-1161 |
| DOI | 10.1080/01431161.2025.2492410 |
| 通讯作者 | Lu, Yingcheng(luyc@nju.edu.cn) |
| 英文摘要 | The uneven distribution of floating macroalgae often leads to missed detections of small, sparsely aggregated patches in medium-low resolution satellite images. This study evaluates the effectiveness of quasi-synchronous MODIS Terra/Aqua and HY-1 C/D CZI imagery from 2019 to 2022 for green tide detection in the Yellow Sea, revealing previously overlooked regional differences in detection capability between high-resolution and medium-low-resolution sensors. The results indicate significant discrepancies in biomass estimation across different spatial resolutions, with MODIS persistently underestimating algae biomass and failing to detect small algae patches. South of the Yellow Sea turbidity front, MODIS exhibits a higher missed detection rate, but the biomass estimation deviation between CZI and MODIS is smaller due to lower biomass per area (BPA). In contrast, north of the front, undetected small patches exhibit higher BPA, leading to greater biomass estimation deviation. The small algae patches missed by MODIS display distinct spatial distribution patterns, particularly forming narrow, long bands in the radial sand ridge area south of the front, likely influenced by topography, wind, and currents. These findings highlight the importance of high-resolution studies on small algae patches in different regions of the Yellow Sea for early detection and effective green tide management. |
| WOS关键词 | SEAWEED AQUACULTURE ; GREEN-ALGAE ; EXPANSION ; BIOMASS |
| WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001466427600001 |
| 资助机构 | Open Fund of State Key Laboratory of Remote Sensing Science ; National Satellite Ocean Application Service (NSOAS) ; General Bathymetric Chart of the Oceans (GEBCO) |
| 源URL | [http://ir.yic.ac.cn/handle/133337/40870]  |
| 专题 | 烟台海岸带研究所_海岸带信息集成与综合管理实验室 |
| 通讯作者 | Lu, Yingcheng |
| 作者单位 | 1.Nanjing Univ, Int Inst Earth Syst Sci, 163 Xianlin Rd, Nanjing 210046, Jiangsu Provinc, Peoples R China 2.Nanjing Univ, Sch Geog & Ocean Sci, Nanjing, Peoples R China 3.Univ Chinese Acad Sci, Sch Elect Elect & Commun Engn, Beijing, Peoples R China 4.Chinese Acad Sci, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Peoples R China 5.Int Res Ctr Big Data Sustainable Dev Goals, Beijing, Peoples R China 6.Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing, Peoples R China 7.Nanjing Univ, Collaborat Innovat Ctr South Sea Studies, Nanjing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yin, Ziyao,Tang, Jun,Lu, Yingcheng,et al. Characterizing distribution patterns of small algae patches across the northern and southern sides of the Yellow Sea front using synchronous CZI-MODIS images[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2025,46(10):3831-3850. |
| APA | Yin, Ziyao.,Tang, Jun.,Lu, Yingcheng.,Liu, Yuru.,Duan, Haimei.,...&Liu, Yongxue.(2025).Characterizing distribution patterns of small algae patches across the northern and southern sides of the Yellow Sea front using synchronous CZI-MODIS images.INTERNATIONAL JOURNAL OF REMOTE SENSING,46(10),3831-3850. |
| MLA | Yin, Ziyao,et al."Characterizing distribution patterns of small algae patches across the northern and southern sides of the Yellow Sea front using synchronous CZI-MODIS images".INTERNATIONAL JOURNAL OF REMOTE SENSING 46.10(2025):3831-3850. |
入库方式： OAI收割
来源：烟台海岸带研究所
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