Synergistic Integration of Time Series Optical and SAR Satellite Data for Mariculture Extraction
文献类型：期刊论文
| 作者 | Wang, Shuxuan1; Huang, Chong1,2,3; Li, He1,3; Liu, Qingsheng1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-04-23 |
| 卷号 | 15期号:9页码:2243 |
| 关键词 | mariculture remote sensing MAI SAR Bohai Rim cage aquaculture and raft aquaculture |
| DOI | 10.3390/rs15092243 |
| 文献子类 | Article |
| 英文摘要 | Mariculture is an important part of aquaculture, and it is important to address global food security and nutrition issues. However, seawater environmental conditions are complex and variable, which causes large uncertainties in the remote sensing spectral features. At the same time, mariculture types are distinct because of the different types of aquaculture (cage aquaculture and raft aquaculture). These factors bring great challenges for mariculture extraction and mapping using remote sensing. In order to solve these problems, an optical remote sensing aquaculture index named the marine aquaculture index (MAI) is proposed. Based on this spectral index, using time series Sentinel-1 and Sentinel-2 satellite data, a random forest classification scheme is proposed for mapping mariculture by combining spectral, textural, geometric, and synthetic aperture radar (SAR) backscattering. The results revealed that (1) MAI can emphasize the difference between mariculture and seawater; (2) the overall accuracy of mariculture in the Bohai Rim is 94.10%, and the kappa coefficient is 0.91; and (3) the area of cage aquaculture and raft aquaculture in the Bohai Rim is 16.89 km(2) and 1206.71 km(2), respectively. This study details an effective method for carrying out mariculture monitoring and ensuring the sustainable development of aquaculture. |
| 学科主题 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS关键词 | IMAGES ; MISSION ; CLOUD ; AREA |
| 语种 | 英语 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/193456]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, CAS Engn Lab Yellow River Delta Modern Agr, Beijing 100101, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Shandong Dongying Inst Geog Sci, Dongying 257000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Shuxuan,Huang, Chong,Li, He,et al. Synergistic Integration of Time Series Optical and SAR Satellite Data for Mariculture Extraction[J]. REMOTE SENSING,2023,15(9):2243. |
| APA | Wang, Shuxuan,Huang, Chong,Li, He,&Liu, Qingsheng.(2023).Synergistic Integration of Time Series Optical and SAR Satellite Data for Mariculture Extraction.REMOTE SENSING,15(9),2243. |
| MLA | Wang, Shuxuan,et al."Synergistic Integration of Time Series Optical and SAR Satellite Data for Mariculture Extraction".REMOTE SENSING 15.9(2023):2243. |
入库方式： OAI收割
来源：地理科学与资源研究所
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