Use of GOCI-II images for detection of harmful algal blooms in the East China Sea
Abstract The East China Sea (ECS) has experienced severe harmful algal blooms (HABs) that have deleterious ecological effects on marine organisms. Recent studies indicated that deploying of a second geostationary ocean color imager (GOCI-II) can significantly improve ocean monitoring. This study sys...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-01-01
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| Series: | Geoscience Letters |
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| Online Access: | https://doi.org/10.1186/s40562-023-00317-3 |
| _version_ | 1797349859584376832 |
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| author | Yutao Jing Chi Feng Taisheng Chen Yuanli Zhu Changpeng Li Bangyi Tao Qingjun Song |
| author_facet | Yutao Jing Chi Feng Taisheng Chen Yuanli Zhu Changpeng Li Bangyi Tao Qingjun Song |
| author_sort | Yutao Jing |
| collection | DOAJ |
| description | Abstract The East China Sea (ECS) has experienced severe harmful algal blooms (HABs) that have deleterious ecological effects on marine organisms. Recent studies indicated that deploying of a second geostationary ocean color imager (GOCI-II) can significantly improve ocean monitoring. This study systematically assessed GOCI-II and its ability to detect HABs and distinguish between dinoflagellates and diatoms in the ECS. First, the remote-sensing reflectance ( $${R}_{rs}\left(\lambda \right),$$ R rs λ , $$\lambda$$ λ represents the wavelength) obtained from GOCI-II was compared to the local measurement data. Compared to the bands at 412 and 443 nm, the bands at 490, 510, and 620 nm exhibited excellent consistency, which is important for HAB detection. Second, four different methods were employed to extract bloom areas in the ECS: red tide index (RI), spectral shape (SS), red band line height ratio (LHR), and algal bloom ratio ( $${R}_{AB}$$ R AB ). The SS (510) algorithm was the most applicable for detecting blooms from GOCI-II imagery. Finally, the classification capability of GOCI-II for dinoflagellates and diatoms was evaluated using three existing algorithms: the bloom index (BI), combined $$Prorocentrum donghaiens$$ Prorocentrumdonghaiens index (PDI) and diatom index (DI), and the spectral slope ( $${R}_{\_slope}$$ R _ s l o p e ). The BI algorithm yielded more satisfactory results than the other algorithms. |
| first_indexed | 2024-03-08T12:37:29Z |
| format | Article |
| id | doaj.art-6b3139dcd49247f7993932fa3c522bd7 |
| institution | Directory Open Access Journal |
| issn | 2196-4092 |
| language | English |
| last_indexed | 2024-03-08T12:37:29Z |
| publishDate | 2024-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Geoscience Letters |
| spelling | doaj.art-6b3139dcd49247f7993932fa3c522bd72024-01-21T12:24:03ZengSpringerOpenGeoscience Letters2196-40922024-01-0111111210.1186/s40562-023-00317-3Use of GOCI-II images for detection of harmful algal blooms in the East China SeaYutao Jing0Chi Feng1Taisheng Chen2Yuanli Zhu3Changpeng Li4Bangyi Tao5Qingjun Song6School of Spatial Information and Mapping Engineering, Anhui University of Science and TechnologySchool of Geography Science and Geomatics Engineering, Suzhou University of Science and TechnologySchool of Geographic Information and Tourism, Chuzhou UniversityKey Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Re-SourcesState Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural ResourcesState Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural ResourcesNational Satellite Ocean Application Service, Ministry of Natural Resources of the People’s Re-Public of ChinaAbstract The East China Sea (ECS) has experienced severe harmful algal blooms (HABs) that have deleterious ecological effects on marine organisms. Recent studies indicated that deploying of a second geostationary ocean color imager (GOCI-II) can significantly improve ocean monitoring. This study systematically assessed GOCI-II and its ability to detect HABs and distinguish between dinoflagellates and diatoms in the ECS. First, the remote-sensing reflectance ( $${R}_{rs}\left(\lambda \right),$$ R rs λ , $$\lambda$$ λ represents the wavelength) obtained from GOCI-II was compared to the local measurement data. Compared to the bands at 412 and 443 nm, the bands at 490, 510, and 620 nm exhibited excellent consistency, which is important for HAB detection. Second, four different methods were employed to extract bloom areas in the ECS: red tide index (RI), spectral shape (SS), red band line height ratio (LHR), and algal bloom ratio ( $${R}_{AB}$$ R AB ). The SS (510) algorithm was the most applicable for detecting blooms from GOCI-II imagery. Finally, the classification capability of GOCI-II for dinoflagellates and diatoms was evaluated using three existing algorithms: the bloom index (BI), combined $$Prorocentrum donghaiens$$ Prorocentrumdonghaiens index (PDI) and diatom index (DI), and the spectral slope ( $${R}_{\_slope}$$ R _ s l o p e ). The BI algorithm yielded more satisfactory results than the other algorithms.https://doi.org/10.1186/s40562-023-00317-3Bloom detectionGOCI-IIHarmful algal bloomsRemote sensing reflectanceEast China Sea |
| spellingShingle | Yutao Jing Chi Feng Taisheng Chen Yuanli Zhu Changpeng Li Bangyi Tao Qingjun Song Use of GOCI-II images for detection of harmful algal blooms in the East China Sea Geoscience Letters Bloom detection GOCI-II Harmful algal blooms Remote sensing reflectance East China Sea |
| title | Use of GOCI-II images for detection of harmful algal blooms in the East China Sea |
| title_full | Use of GOCI-II images for detection of harmful algal blooms in the East China Sea |
| title_fullStr | Use of GOCI-II images for detection of harmful algal blooms in the East China Sea |
| title_full_unstemmed | Use of GOCI-II images for detection of harmful algal blooms in the East China Sea |
| title_short | Use of GOCI-II images for detection of harmful algal blooms in the East China Sea |
| title_sort | use of goci ii images for detection of harmful algal blooms in the east china sea |
| topic | Bloom detection GOCI-II Harmful algal blooms Remote sensing reflectance East China Sea |
| url | https://doi.org/10.1186/s40562-023-00317-3 |
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