High-Resolution Mapping of Seaweed Aquaculture along the Jiangsu Coast of China Using Google Earth Engine (2016–2022)
Seaweed aquaculture produces enormous economic and ecological service benefits, making significant contributions to achieving global Sustainable Development Goals (SDGs). However, large-scale development of seaweed aquaculture and the unreasonable use of aquaculture rafts may trigger green tide, bri...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/24/6202 |
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| author | Jie Cheng Nan Jia Ruishan Chen Xiaona Guo Jianzhong Ge Fucang Zhou |
| author_facet | Jie Cheng Nan Jia Ruishan Chen Xiaona Guo Jianzhong Ge Fucang Zhou |
| author_sort | Jie Cheng |
| collection | DOAJ |
| description | Seaweed aquaculture produces enormous economic and ecological service benefits, making significant contributions to achieving global Sustainable Development Goals (SDGs). However, large-scale development of seaweed aquaculture and the unreasonable use of aquaculture rafts may trigger green tide, bringing negative ecological, social, and economic impacts. Therefore, it is vital to monitor the seaweed aquaculture industry accurately. Here, we mapped 10-m-resolution seaweed aquaculture along the Jiangsu coast of China based on active and passive remote sensing (Sentinel-1/2) and Random Forest using Google Earth Engine. The results demonstrate satisfactory model performance and data accuracy. The square seaweed aquaculture in the Lianyungang Offshore (Mode-I) has gradually expanded to the deep sea since 2016, with a maximum area of 194.06 km<sup>2</sup> in 2018. Between 2021 and 2022, the area of the strip-shaped seaweed aquaculture in Subei radiation shoals (Mode-II) was considerably reduced, with most of the reduced land lying on the east side of the Dafeng Elk National Nature Reserve. In general, the area of the seaweed aquaculture in the prohibited breeding area was reduced from 20.32 km<sup>2</sup> to 3.13 km<sup>2</sup>, and the area of the seaweed aquaculture in the restricted breeding area was reduced from 149.71 km<sup>2</sup> to 33.15 km<sup>2</sup>. Results show that under the policy restriction, the scale of unsustainable seaweed aquaculture along the Jiangsu coast has been greatly reduced within seven years. This study can provide an efficient approach for the medium-scale extraction of seaweed aquaculture and provide decision support for the sustainable development of marine aquaculture. |
| first_indexed | 2024-03-09T15:54:50Z |
| format | Article |
| id | doaj.art-cb0dda477f15417083c3989bdf33663d |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T15:54:50Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-cb0dda477f15417083c3989bdf33663d2023-11-24T17:45:48ZengMDPI AGRemote Sensing2072-42922022-12-011424620210.3390/rs14246202High-Resolution Mapping of Seaweed Aquaculture along the Jiangsu Coast of China Using Google Earth Engine (2016–2022)Jie Cheng0Nan Jia1Ruishan Chen2Xiaona Guo3Jianzhong Ge4Fucang Zhou5School of Geographic Sciences, East China Normal University, Shanghai 200241, ChinaCenter for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48823, USASchool of Geographic Sciences, East China Normal University, Shanghai 200241, ChinaSchool of Design, Shanghai Jiaotong University, Shanghai 200040, ChinaState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, ChinaState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, ChinaSeaweed aquaculture produces enormous economic and ecological service benefits, making significant contributions to achieving global Sustainable Development Goals (SDGs). However, large-scale development of seaweed aquaculture and the unreasonable use of aquaculture rafts may trigger green tide, bringing negative ecological, social, and economic impacts. Therefore, it is vital to monitor the seaweed aquaculture industry accurately. Here, we mapped 10-m-resolution seaweed aquaculture along the Jiangsu coast of China based on active and passive remote sensing (Sentinel-1/2) and Random Forest using Google Earth Engine. The results demonstrate satisfactory model performance and data accuracy. The square seaweed aquaculture in the Lianyungang Offshore (Mode-I) has gradually expanded to the deep sea since 2016, with a maximum area of 194.06 km<sup>2</sup> in 2018. Between 2021 and 2022, the area of the strip-shaped seaweed aquaculture in Subei radiation shoals (Mode-II) was considerably reduced, with most of the reduced land lying on the east side of the Dafeng Elk National Nature Reserve. In general, the area of the seaweed aquaculture in the prohibited breeding area was reduced from 20.32 km<sup>2</sup> to 3.13 km<sup>2</sup>, and the area of the seaweed aquaculture in the restricted breeding area was reduced from 149.71 km<sup>2</sup> to 33.15 km<sup>2</sup>. Results show that under the policy restriction, the scale of unsustainable seaweed aquaculture along the Jiangsu coast has been greatly reduced within seven years. This study can provide an efficient approach for the medium-scale extraction of seaweed aquaculture and provide decision support for the sustainable development of marine aquaculture.https://www.mdpi.com/2072-4292/14/24/6202seaweed aquaculturesentinelgoogle earth engineSDGssustainable agriculturerandom forest |
| spellingShingle | Jie Cheng Nan Jia Ruishan Chen Xiaona Guo Jianzhong Ge Fucang Zhou High-Resolution Mapping of Seaweed Aquaculture along the Jiangsu Coast of China Using Google Earth Engine (2016–2022) Remote Sensing seaweed aquaculture sentinel google earth engine SDGs sustainable agriculture random forest |
| title | High-Resolution Mapping of Seaweed Aquaculture along the Jiangsu Coast of China Using Google Earth Engine (2016–2022) |
| title_full | High-Resolution Mapping of Seaweed Aquaculture along the Jiangsu Coast of China Using Google Earth Engine (2016–2022) |
| title_fullStr | High-Resolution Mapping of Seaweed Aquaculture along the Jiangsu Coast of China Using Google Earth Engine (2016–2022) |
| title_full_unstemmed | High-Resolution Mapping of Seaweed Aquaculture along the Jiangsu Coast of China Using Google Earth Engine (2016–2022) |
| title_short | High-Resolution Mapping of Seaweed Aquaculture along the Jiangsu Coast of China Using Google Earth Engine (2016–2022) |
| title_sort | high resolution mapping of seaweed aquaculture along the jiangsu coast of china using google earth engine 2016 2022 |
| topic | seaweed aquaculture sentinel google earth engine SDGs sustainable agriculture random forest |
| url | https://www.mdpi.com/2072-4292/14/24/6202 |
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