Research on Long-Term Time Series Chlorophyll Concentration Inversion Method Based on Multisensor Consistency Transformation
文献类型：期刊论文
| 作者 | Qin, Yina2; Cui, Jianyong2; Guo, Jie1; Liu, Shanwei2; Wang, Xiaoqing3; Ji, Diansheng3; Hou, Chawei3; Tang, Haitian3; Yasir, Muhammad2 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2025 |
| 卷号 | 18页码:28409-28421 |
| 关键词 | Sensors Remote sensing Monitoring Sea measurements Reflectivity Spatiotemporal phenomena Spatial resolution Oceans Biological system modeling Water quality Consistency transformation geostationary ocean color imager (GOCI)-I and GOCI-II satellite inversion of chlorophyll-a (Chl-a) long time series physics-informed neural network (PINN) |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2025.3625368 |
| 通讯作者 | Cui, Jianyong(cui_jianyong@upc.edu.cn) ; Guo, Jie(jguo@yic.ac.cn) |
| 英文摘要 | Recurrent algal blooms in coastal regions have become a pressing environmental concern, significantly impacting the ecological integrity of the Bohai Sea due to their sudden occurrence and rapid development. Addressing this issue necessitates high-resolution and continuous remote sensing methods for dynamic monitoring. This study confronts two challenges: the inconsistency in band configurations and spectral widths across multisource satellite sensors when generating long-term observation datasets, and the limited applicability and low accuracy of traditional empirical models for chlorophyll-a (Chl-a) retrieval under complex optical conditions. To overcome these limitations, a harmonized long-term dataset was developed using the consistent spectral response characteristics of geostationary ocean color imager (GOCI)-I and GOCI-II sensors. In addition, a Chl-a inversion framework was proposed by integrating a quasianalytical algorithm version 6-optimized physics-informed neural network (QPINN) with a spatiotemporal attention mechanism. A weighted transformation approach was employed to standardize reflectance data from both sensors, enabling a unified dataset with consistent spectral and spatial parameters. Spatiotemporal features were extracted using a transformer architecture and combined with QPINN to suppress anomalies, enforce physical constraints, and improve model generalization. The resulting QPINN-transformer model achieved a high inversion accuracy, with a coefficient of determination R-2= 0.91$, MAE = 0.3750. Long-term application of the model from 2014 to 2020 revealed a strong spatial association between Chl-a concentrations and the central hypoxic zone in the Bohai Sea. These findings offer methodological advancements for the dynamic evaluation of eutrophication, inform land-based pollution mitigation strategies, and support assessments of marine carbon sequestration potential. |
| WOS关键词 | CENTRAL BOHAI SEA ; NEURAL-NETWORKS ; COLOR ; PRODUCTS |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001618689100010 |
| 资助机构 | National Foundation of China ; NSFC Shiptime Sharing |
| 源URL | [http://ir.yic.ac.cn/handle/133337/41655]  |
| 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 | Cui, Jianyong; Guo, Jie |
| 作者单位 | 1.Chinese Acad Sci, Shandong Key Lab Coastal Environm Proc, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China 2.China Univ Petr East China, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China 3.Minist Nat Resources, Yantai Marine Ctr, Yantai 264006, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qin, Yina,Cui, Jianyong,Guo, Jie,et al. Research on Long-Term Time Series Chlorophyll Concentration Inversion Method Based on Multisensor Consistency Transformation[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2025,18:28409-28421. |
| APA | Qin, Yina.,Cui, Jianyong.,Guo, Jie.,Liu, Shanwei.,Wang, Xiaoqing.,...&Yasir, Muhammad.(2025).Research on Long-Term Time Series Chlorophyll Concentration Inversion Method Based on Multisensor Consistency Transformation.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,18,28409-28421. |
| MLA | Qin, Yina,et al."Research on Long-Term Time Series Chlorophyll Concentration Inversion Method Based on Multisensor Consistency Transformation".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 18(2025):28409-28421. |
入库方式： OAI收割
来源：烟台海岸带研究所
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