Detection and Statistics of Offshore Aquaculture Rafts in Coastal Waters
Offshore aquaculture is critical for a marine fishery economy. The spatial distribution of aquaculture that characterizes it plays a vital role in the sustainable development of marine resources and the protection of the marine environment. In recent years, China’s aquaculture has developed rapidly;...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/10/6/781 |
| _version_ | 1797485663251070976 |
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| author | Chen Zhou Kapo Wong Jin Yeu Tsou Yuanzhi Zhang |
| author_facet | Chen Zhou Kapo Wong Jin Yeu Tsou Yuanzhi Zhang |
| author_sort | Chen Zhou |
| collection | DOAJ |
| description | Offshore aquaculture is critical for a marine fishery economy. The spatial distribution of aquaculture that characterizes it plays a vital role in the sustainable development of marine resources and the protection of the marine environment. In recent years, China’s aquaculture has developed rapidly; specifically, the scale of aquaculture has dramatically expanded, and large-scale aquaculture has gradually grown in popularity. Although high-resolution satellite data can accurately extract aquaculture areas, the extraction of a large area of the sea area requires a copious amount of data. In contrast, medium-resolution satellite images allow for the extraction of aquaculture areas from large sea areas with a smaller amount of data, offering significant advantages. Therefore, we used Landsat8 satellite data to extract and count the number of aquaculture rafts based on the Hough transform and Canny edge detection methods. We tested the accuracy of this method by selecting Haizhou Bay as the study area for the experiment and accuracy verification and found that the automatic extraction accuracy for the number of aquaculture rafts was more than 90%. Additionally, we calculated statistics on the number of aquaculture rafts in Haizhou Bay over the past seven years. The findings presented in this paper offer a significant reference value for local marine utilization, marine environment protection, and marine disaster prevention and mitigation. |
| first_indexed | 2024-03-09T23:23:02Z |
| format | Article |
| id | doaj.art-04e6f7966d934f4fb728a65d7337956e |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-09T23:23:02Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-04e6f7966d934f4fb728a65d7337956e2023-11-23T17:22:49ZengMDPI AGJournal of Marine Science and Engineering2077-13122022-06-0110678110.3390/jmse10060781Detection and Statistics of Offshore Aquaculture Rafts in Coastal WatersChen Zhou0Kapo Wong1Jin Yeu Tsou2Yuanzhi Zhang3School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Nursing, The Hong Kong Polytechnic University, Kowloon 999666, Hong KongFaculty of Social Science, Center for Housing Innovations and Institute of Asia-Pacific Studies, Chinese University of Hong Kong, Shatin 999077, Hong KongSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaOffshore aquaculture is critical for a marine fishery economy. The spatial distribution of aquaculture that characterizes it plays a vital role in the sustainable development of marine resources and the protection of the marine environment. In recent years, China’s aquaculture has developed rapidly; specifically, the scale of aquaculture has dramatically expanded, and large-scale aquaculture has gradually grown in popularity. Although high-resolution satellite data can accurately extract aquaculture areas, the extraction of a large area of the sea area requires a copious amount of data. In contrast, medium-resolution satellite images allow for the extraction of aquaculture areas from large sea areas with a smaller amount of data, offering significant advantages. Therefore, we used Landsat8 satellite data to extract and count the number of aquaculture rafts based on the Hough transform and Canny edge detection methods. We tested the accuracy of this method by selecting Haizhou Bay as the study area for the experiment and accuracy verification and found that the automatic extraction accuracy for the number of aquaculture rafts was more than 90%. Additionally, we calculated statistics on the number of aquaculture rafts in Haizhou Bay over the past seven years. The findings presented in this paper offer a significant reference value for local marine utilization, marine environment protection, and marine disaster prevention and mitigation.https://www.mdpi.com/2077-1312/10/6/781satellite remote sensingaquaculture raftmarine environment protectionsustainable development |
| spellingShingle | Chen Zhou Kapo Wong Jin Yeu Tsou Yuanzhi Zhang Detection and Statistics of Offshore Aquaculture Rafts in Coastal Waters Journal of Marine Science and Engineering satellite remote sensing aquaculture raft marine environment protection sustainable development |
| title | Detection and Statistics of Offshore Aquaculture Rafts in Coastal Waters |
| title_full | Detection and Statistics of Offshore Aquaculture Rafts in Coastal Waters |
| title_fullStr | Detection and Statistics of Offshore Aquaculture Rafts in Coastal Waters |
| title_full_unstemmed | Detection and Statistics of Offshore Aquaculture Rafts in Coastal Waters |
| title_short | Detection and Statistics of Offshore Aquaculture Rafts in Coastal Waters |
| title_sort | detection and statistics of offshore aquaculture rafts in coastal waters |
| topic | satellite remote sensing aquaculture raft marine environment protection sustainable development |
| url | https://www.mdpi.com/2077-1312/10/6/781 |
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