Segment Anything Model (SAM) Assisted Remote Sensing Supervision for Mariculture-Using Liaoning Province, China as an Example
文献类型：期刊论文
| 作者 | Ren, Yougui3; Yang, Xiaomei1,2; Wang, Zhihua1,2; Yu, Ge3; Liu, Yueming1,2; Liu, Xiaoliang1,2; Meng, Dan1,2; Zhang, Qingyang1,2; Yu, Guo1,2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-12-01 |
| 卷号 | 15期号:24页码:18 |
| 关键词 | remote sensing mariculture coastal management spatial analysis |
| DOI | 10.3390/rs15245781 |
| 通讯作者 | Liu, Yueming(liuym@lreis.ac.cn) |
| 英文摘要 | Obtaining spatial distribution information on mariculture in a low-cost, fast, and efficient manner is crucial for the sustainable development and regulatory planning of coastal zones and mariculture industries. This study, based on the Segment Anything Model (SAM) and high-resolution remote sensing imagery, rapidly extracted mariculture areas in Liaoning Province, a typical northern province in China with significant mariculture activity. Additionally, it explored the actual marine ownership data to investigate the marine use status of Liaoning Province's mariculture. The total area of mariculture we extracted in Liaoning Province is 1052.89 km2. Among this, the area of cage mariculture is 27.1 km2, while raft mariculture covers 1025.79 km2. Through field investigations, it was determined that in the western part of Liaodong Bay, cage mariculture predominantly involves sea cucumbers. In the southern end of Dalian, the raft mariculture focuses on cultivating kelp. On the other hand, around the islands in the eastern region, the primary crop in raft mariculture is scallops, showing a significant geographical differentiation pattern. In the planned mariculture areas within Liaoning Province's waters, the proportion of actual development and utilization is 11.2%, while the proportion approved for actual mariculture is 90.2%. This indicates a suspicion that 9.8% of mariculture is possibly in violation of sea occupation rights, which could be due to the untimely updating of marine ownership data. Based on SAM, efficient and accurate extraction of cage mariculture can be achieved. However, the extraction performance for raft mariculture is challenging and remains unsatisfactory. Manual interpretation is still required for satisfactory results in this context. |
| WOS关键词 | RAFT CULTIVATION AREA ; YELLOW SEA ; AQUACULTURE ; EXTRACTION ; EXPANSION |
| 资助项目 | National Natural Science Foundation of China |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:001130975400001 |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/201401]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Yueming |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Northeastern Univ, Sch Comp Sci & Engn, Shenyang 110169, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ren, Yougui,Yang, Xiaomei,Wang, Zhihua,et al. Segment Anything Model (SAM) Assisted Remote Sensing Supervision for Mariculture-Using Liaoning Province, China as an Example[J]. REMOTE SENSING,2023,15(24):18. |
| APA | Ren, Yougui.,Yang, Xiaomei.,Wang, Zhihua.,Yu, Ge.,Liu, Yueming.,...&Yu, Guo.(2023).Segment Anything Model (SAM) Assisted Remote Sensing Supervision for Mariculture-Using Liaoning Province, China as an Example.REMOTE SENSING,15(24),18. |
| MLA | Ren, Yougui,et al."Segment Anything Model (SAM) Assisted Remote Sensing Supervision for Mariculture-Using Liaoning Province, China as an Example".REMOTE SENSING 15.24(2023):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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