基于MODIS 数据的2016年黄海绿潮灾害动态监测研究
文献类型:期刊论文
作者 | 徐福祥; 高志强; 郑翔宇; 宁吉才; 宋德彬 |
刊名 | 海洋科学 |
出版日期 | 2017-05-15 |
卷号 | 41期号:5页码:80-84 |
ISSN号 | 1000-3096 |
关键词 | MODIS GF-1 MODIS Green Tides GF-1 error analysis dynamic monitoring 绿潮 验证 动态监测 |
DOI | DOI: 10.11759/hykx20160922003 |
其他题名 | Spatial and temporal distribution characteristic of green tides in the Yellow Sea in 2016 based on MODIS data |
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 |
文献子类 | Article |
英文摘要 | This paper analyses the errors of the Green Tides monitoring results from MODIS data with high resolution GF-1 WFV satellite images based on the assumption that pixels of GF-1 WFV data are pure. On this basis, continuous and dynamic monitoring of the Green Tides of the Yellow Sea in 2016 were performed. The results show that the total error of the monitoring results using MODIS data is higher than 50%; the Green Tide moved northwards first, then moved in the northeast direction along the coastline of Shandong Peninsula, and finally was stranded in the sea areas near Qingdao and Weihai in 2016; Green Tides lasted around 80 days at this time, and showed a regularity similar to that of previous years, that is, it first appeared, developed and exploded, then was disposed, and finally disappeared. In detail, it appeared on May 12, it developed in mid- to late-May, at which period the main body of the Green Tide was distributed in muddy water in Subei Shoal, and began to explode in late May and early June after entering clear water. Based on these aspects, the macroalgal blooms caused by Ulva prolifera in 2016 were very serious and had huge impacts on the coastal aquaculture and tourism industry of Shandong Province. |
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:6058832 |
源URL | [http://ir.yic.ac.cn/handle/133337/24414] |
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.中国科学院烟台海岸带研究所; 2.中国科学院大学 |
推荐引用方式 GB/T 7714 | 徐福祥,高志强,郑翔宇,等. 基于MODIS 数据的2016年黄海绿潮灾害动态监测研究[J]. 海洋科学,2017,41(5):80-84. |
APA | 徐福祥,高志强,郑翔宇,宁吉才,&宋德彬.(2017).基于MODIS 数据的2016年黄海绿潮灾害动态监测研究.海洋科学,41(5),80-84. |
MLA | 徐福祥,et al."基于MODIS 数据的2016年黄海绿潮灾害动态监测研究".海洋科学 41.5(2017):80-84. |
入库方式: OAI收割
来源:烟台海岸带研究所
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