Detection of Seagrass in optical shallow water with Quickbird in Xincun Bay of Hainan province, China
文献类型：期刊论文
| 作者 | Yang, DT |
| 刊名 | IST: 2009 IEEE INTERNATIONAL WORKSHOP ON IMAGING SYSTEMS AND TECHNIQUES
 |
| 出版日期 | 2009 |
| 页码 | 187-192 |
| 关键词 | Seagrass Quickbird Xincun Bay |
| 中文摘要 | Seagrass, mainly distributed in the coastal water along South China Sea, is very important for coastal ecosystem. In order to obtain precise data about seagrass distribution in optical shallow water in Xincun Bay of Hainan province, Quickbird data was used in the paper. Radiance transfer model in optical shallow water was used to retrieve the information of bottom reflectivity, and supervise classification was used to retrieve the distribution and density of submerged seagrass; Results showed that seagrass distributed in the northeast coast of Xincun Bay with the pattern of stripe can be clearly detected. Density gradient was very clear, coverage under 20% was mainly distributed at the out range of seagrass bed and coverage greater than 80% distributed in the centre of the seagrass bed. The accuracy of seagrass retrieval was more than 80% and the density of seagrass can also be distinguished evidently. |
| 学科主题 | Engineering, Electrical & Electronic; Imaging Science & Photographic Technology |
| 收录类别 | SCI |
| 原文出处 | IEEE |
| 公开日期 | 2011-07-03 |
| 源URL | [http://ir.scsio.ac.cn/handle/344004/6071]  |
| 专题 | 南海海洋研究所_热带海洋环境国家重点实验室(LTO) |
| 推荐引用方式 GB/T 7714 | Yang, DT. Detection of Seagrass in optical shallow water with Quickbird in Xincun Bay of Hainan province, China[J]. IST: 2009 IEEE INTERNATIONAL WORKSHOP ON IMAGING SYSTEMS AND TECHNIQUES,2009:187-192. |
| APA | Yang, DT.(2009).Detection of Seagrass in optical shallow water with Quickbird in Xincun Bay of Hainan province, China.IST: 2009 IEEE INTERNATIONAL WORKSHOP ON IMAGING SYSTEMS AND TECHNIQUES,187-192. |
| MLA | Yang, DT."Detection of Seagrass in optical shallow water with Quickbird in Xincun Bay of Hainan province, China".IST: 2009 IEEE INTERNATIONAL WORKSHOP ON IMAGING SYSTEMS AND TECHNIQUES (2009):187-192. |
入库方式： OAI收割
来源：南海海洋研究所
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