基于VB-FAH 指数的黄海绿潮遥感监测及对比研究
文献类型：期刊论文
| 作者 | 郑翔宇; 高志强 ; 徐福祥; 宁吉才; 宋德彬; 郑丙吉
|
| 刊名 | 海洋科学
 |
| 出版日期 | 2017-05-15 |
| 卷号 | 41期号:5页码:71-79 |
| 关键词 | remote sensing monitoring multi-source data virtual-baseline floating macro-algae height green tide the Yellow Sea 遥感监测 多源遥感数据 虚拟基线高度浮藻指数(VB-FAH) 绿潮 黄海 |
| ISSN号 | 1000-3096 |
| DOI | DOI: 10.11759/hykx20160928002 |
| 其他题名 | Study of remote sensing monitoring and comparison of green tide in the Yellow Sea based on VB-FAH index |
| 产权排序 | (1) 中国科学院烟台海岸带研究所 ; (2) 中国科学院大学 ; (3) 即墨市国土资源局 |
| 文献子类 | Article |
| 英文摘要 | Most current monitoring methods are based on single remote sensing data, and thus have considerable limitations. To compensate for spatial resolution and time resolution deficiencies, multi-source remote sensing data are used to capture the green tide(large green algae-Ulva prolifera)in the Yellow Sea in 2015 and 2016. Data are then monitored and analyzed through the VB-FAH index and a manual assisted interpretation method. Monitoring results of GF-1 WFV and CBERS-04 WFI are then compared with two scene synchronous images, and results of ship monitoring and satellite image monitoring are also compared. Results show that compared with GF-1 WFV data, monitoring results of CBERS-04 WFI data produce a relative deviation of 15.3%~37.32%; this is mainly attributed to the mixed pixel effect caused by the different spatial resolution. By superimposing the monitoring results of satellite images on measured data for comparison and analysis, it is found that the relative monitoring accuracy is higher above grade III. The green tide outbreak lasts about 100 days, from late April to early May. It initially appears in the turbidity zone of the Northern Jiangsu Shoal, and external factors enable it to gradually reach suitable growth conditions. It then continues to grow until it becomes an outbreak, and then flows northwards by the Yellow Sea surface flow until it finally arrives on the southern coast of the Shandong Peninsula. July and August are the extinction stages of the green tide and by mid-August it has almost completely disappeared. Results of this study can be used to improve monitoring accuracy and provide effective information support for the prevention and control of green tide. |
| WOS关键词 | Environmental Sciences & Ecology |
| WOS研究方向 | Environmental Sciences & Ecology ; 环境科学与生态学 |
| 语种 | 中文 |
| CSCD记录号 | CSCD:6058831 |
| 源URL | [http://ir.yic.ac.cn/handle/133337/24415]  |
| 专题 | 烟台海岸带研究所_海岸带信息集成与综合管理实验室 烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室 |
| 作者单位 | 1.中国科学院大学; 2.中国科学院烟台海岸带研究所; 3.即墨市国土资源局 |
| 推荐引用方式 GB/T 7714 | 郑翔宇,高志强,徐福祥,等. 基于VB-FAH 指数的黄海绿潮遥感监测及对比研究[J]. 海洋科学,2017,41(5):71-79. |
| APA | 郑翔宇,高志强,徐福祥,宁吉才,宋德彬,&郑丙吉.(2017).基于VB-FAH 指数的黄海绿潮遥感监测及对比研究.海洋科学,41(5),71-79. |
| MLA | 郑翔宇,et al."基于VB-FAH 指数的黄海绿潮遥感监测及对比研究".海洋科学 41.5(2017):71-79. |
入库方式： OAI收割
来源：烟台海岸带研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。