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Detection method of red tide based on the spectral features from HY-1C/D satellite: Take red Noctiluca scintillans blooms as an example
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Yikan Wang1, 2, Rongjie Liu1, 3, *, Jianqiang Liu4, Jing Ding4, Xiaomin Ye4, Xin Zhao1, 5, Dongmei Song2, Yi Ma1, 3
Haiyang Xuebao | 2023, 45(12) : 166 - 178
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Haiyang Xuebao | 2023, 45(12): 166-178
Article
Detection method of red tide based on the spectral features from HY-1C/D satellite: Take red Noctiluca scintillans blooms as an example
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Yikan Wang1, 2, Rongjie Liu1, 3, *, Jianqiang Liu4, Jing Ding4, Xiaomin Ye4, Xin Zhao1, 5, Dongmei Song2, Yi Ma1, 3
Affiliations
  • 1First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
  • 2College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China
  • 3Technology Innovation Center for Ocean Telemetry, Ministry of Natural Resources, Qingdao 266061, China
  • 4National Satellite Ocean Application Service, Beijing 100081, China
  • 5College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
Published: 2023-12-31 doi: 10.12284/hyxb2023179
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Red Noctiluca scintillans is the main red tide species in China, which often occurs in the Bohai Sea, Yellow Sea, East China Sea and South China Sea. Recently, the red N. scintillans blooms occurred frequently, leading to an urgent need for their monitoring. However, the occurrence of red N. scintillans blooms is characterized by wide distribution range, rapid change and strip distribution. Therefore, the high spatial resolution, large coverage and short revisit period satellites are needed for red N. scintillans blooms monitoring. Although, ocean color satellites have played an important role in red tide detection, they cannot detect the strip distributed red N. scintillans blooms for their low spatial resolution. The Coastal Zone Imager (CZI) onboard HY-1C/D satellite, with high spatial resolution, wide swath and short revisit cycle, has been increasingly used for red tide monitoring. Most existing red N. scintillans blooms detection methods for HY-1C/D CZI are based on deep learning methods, which need a large number of training samples. However, the training samples are difficult to obtain, which affects the accuracy of the models. Therefore, taking red N. scintillans bloom occurred in the Honghai Bay, Guangdong Province in March 2022 as an example, the spectral features of red N. scintillans blooms were analyzed in this paper, the red tide detection method based on the high reflectance features of red N. scintillans blooms in the red and near infrared bands and turbid water in the green band was constructed for HY-1C/D CZI. The experimental results show that based on the method, red N. scintillans blooms can be detected effectively in the turbid water, with precision and F1-Score of 89.72% and 0.90 respectively. Moreover, the method has good applicability, and it is proved to be suitable for the detection of red N. scintillans blooms in different marine environments. Also, it is applicable to different broad band sensors.

red tide  /  red Noctiluca scintillans  /  remote sensing detection  /  HY-1C/D CZI  /  spectral features
Yikan Wang, Rongjie Liu, Jianqiang Liu, Jing Ding, Xiaomin Ye, Xin Zhao, Dongmei Song, Yi Ma. Detection method of red tide based on the spectral features from HY-1C/D satellite: Take red Noctiluca scintillans blooms as an example[J]. Haiyang Xuebao, 2023 , 45 (12) : 166 -178 . DOI: 10.12284/hyxb2023179
Year 2023 volume 45 Issue 12
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doi: 10.12284/hyxb2023179
  • Receive Date:2023-05-12
  • Online Date:2025-12-28
  • Published:2023-12-31
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  • Received:2023-05-12
  • Revised:2023-11-25
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Affiliations
    1First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
    2College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China
    3Technology Innovation Center for Ocean Telemetry, Ministry of Natural Resources, Qingdao 266061, China
    4National Satellite Ocean Application Service, Beijing 100081, China
    5College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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