A New Algorithm Based on the Phytoplankton Absorption Coefficient for Red Tide Monitoring in the East China Sea via a Geostationary Ocean Color Imager (GOCI)
Rapid and accurate dynamic monitoring and quantitative analysis of red tide disasters are of significant practical importance to national economic development. Remote sensing technology is an effective means for monitoring red tides. This paper utilizes GOCI satellite data and employs a quasi-analyt...
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MDPI AG
2025-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/5/750 |
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| author | Xiaohui Xu Yaqin Huang Jian Chen Zhi Zeng |
| author_facet | Xiaohui Xu Yaqin Huang Jian Chen Zhi Zeng |
| author_sort | Xiaohui Xu |
| collection | DOAJ |
| description | Rapid and accurate dynamic monitoring and quantitative analysis of red tide disasters are of significant practical importance to national economic development. Remote sensing technology is an effective means for monitoring red tides. This paper utilizes GOCI satellite data and employs a quasi-analytical algorithm (QAA) to retrieve the spectral curves of phytoplankton absorption coefficients. On the basis of a detailed analysis of the differences in the spectral curves of the phytoplankton absorption coefficients between red tide and non-red tide waters, we establish a red tide identification algorithm for the East China Sea on the basis of phytoplankton absorption coefficients. The algorithm is applied to multiple red tide events in the East China Sea. The results indicate that this algorithm can effectively determine the occurrence locations of red tides and extract relevant information about them. |
| format | Article |
| id | doaj-art-a90c9ffb59c7444abe882125cf9a0b0a |
| institution | DOAJ |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-a90c9ffb59c7444abe882125cf9a0b0a2025-08-20T02:59:07ZengMDPI AGRemote Sensing2072-42922025-02-0117575010.3390/rs17050750A New Algorithm Based on the Phytoplankton Absorption Coefficient for Red Tide Monitoring in the East China Sea via a Geostationary Ocean Color Imager (GOCI)Xiaohui Xu0Yaqin Huang1Jian Chen2Zhi Zeng3Third Institute of Oceanography, Ministry of Nature Resources, No. 178, Daxue Road, Xiamen 361005, ChinaThird Institute of Oceanography, Ministry of Nature Resources, No. 178, Daxue Road, Xiamen 361005, ChinaThird Institute of Oceanography, Ministry of Nature Resources, No. 178, Daxue Road, Xiamen 361005, ChinaThird Institute of Oceanography, Ministry of Nature Resources, No. 178, Daxue Road, Xiamen 361005, ChinaRapid and accurate dynamic monitoring and quantitative analysis of red tide disasters are of significant practical importance to national economic development. Remote sensing technology is an effective means for monitoring red tides. This paper utilizes GOCI satellite data and employs a quasi-analytical algorithm (QAA) to retrieve the spectral curves of phytoplankton absorption coefficients. On the basis of a detailed analysis of the differences in the spectral curves of the phytoplankton absorption coefficients between red tide and non-red tide waters, we establish a red tide identification algorithm for the East China Sea on the basis of phytoplankton absorption coefficients. The algorithm is applied to multiple red tide events in the East China Sea. The results indicate that this algorithm can effectively determine the occurrence locations of red tides and extract relevant information about them.https://www.mdpi.com/2072-4292/17/5/750red tidephytoplankton absorption coefficientremote sensingEast China SeaGOCI |
| spellingShingle | Xiaohui Xu Yaqin Huang Jian Chen Zhi Zeng A New Algorithm Based on the Phytoplankton Absorption Coefficient for Red Tide Monitoring in the East China Sea via a Geostationary Ocean Color Imager (GOCI) Remote Sensing red tide phytoplankton absorption coefficient remote sensing East China Sea GOCI |
| title | A New Algorithm Based on the Phytoplankton Absorption Coefficient for Red Tide Monitoring in the East China Sea via a Geostationary Ocean Color Imager (GOCI) |
| title_full | A New Algorithm Based on the Phytoplankton Absorption Coefficient for Red Tide Monitoring in the East China Sea via a Geostationary Ocean Color Imager (GOCI) |
| title_fullStr | A New Algorithm Based on the Phytoplankton Absorption Coefficient for Red Tide Monitoring in the East China Sea via a Geostationary Ocean Color Imager (GOCI) |
| title_full_unstemmed | A New Algorithm Based on the Phytoplankton Absorption Coefficient for Red Tide Monitoring in the East China Sea via a Geostationary Ocean Color Imager (GOCI) |
| title_short | A New Algorithm Based on the Phytoplankton Absorption Coefficient for Red Tide Monitoring in the East China Sea via a Geostationary Ocean Color Imager (GOCI) |
| title_sort | new algorithm based on the phytoplankton absorption coefficient for red tide monitoring in the east china sea via a geostationary ocean color imager goci |
| topic | red tide phytoplankton absorption coefficient remote sensing East China Sea GOCI |
| url | https://www.mdpi.com/2072-4292/17/5/750 |
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