| Monitoring Secchi depth of the Yellow Sea and the East China Sea using a semi-analytical algorithm | |
| Yu, Dingfeng(1,2); Zhou, Bin(1,2); Xing, Qianguo(3); Fan, Yanguo(4); Li, Tantan(4); Sun, Xiaoling(1) | |
| 会议主办者 | Ministry of Earth Sciences; National Aeronautics and Space Administration (NASA); State Key Laboratory of Remote Sensing Science; The Society of Photo-Optical Instrumentation Engineers (SPIE) |
| 2014 | |
| 会议名称 | Ocean Remote Sensing and Monitoring from Space |
| 卷号 | 9261 |
| 会议日期 | October 15, 2014 - October 16, 2014 |
| 会议地点 | Beijing, China |
| ISSN号 | 0277-786X |
| ISBN号 | 9781628413281 |
| 产权排序 | (1) Institute of Oceanographic Instrumentation, Shandong Academy of Sciences, Qingdao, Shandong, China ; (2) Shandong Provincial Key Lab of Marine Environment Monitoring Technology, Qingdao, Shandong, China ; (3) Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, Shandong, China ; (4) China University of Petroleum, Qingdao, Shandong, China |
| 关键词 | Remote Sensing East China Sea Modis Retrieval Secchi Disk Depth Yellow Sea |
| 摘要 | Secchi depth, an important optical characteristic of water, is a useful index of water quality and is widely used in many environmental studies. The Yellow Sea and the East China Sea are typical case 2 waters, where concentrations of suspended matter, phytoplankton pigments, and colored dissolved organic matter are higher than those in other open oceans. Two cruises were conducted to investigate the water optical characteristics in the Yellow Sea and the East China Sea in May and June, 2009. 62 water sampling stations of Secchi disk depth were measured in situ in day time, and their values were in the range of 0.0112 to 15.6 m with the mean of 6.72 m and a standard deviation of 3.18 m. In this paper, we adapted a quasi-analytical algorithm to estimate the Secchi depth from satellite ocean data in both coastal and oceanic waters. The development of the algorithm is based on the use of in situ measurements and 8-day MODIS-Aqua remote sensing reflectance data with 4 km spatial resolution. More than 39 matchups were compiled for the MODIS sensor by spatialoral matching. The comparison between water transparency retrievals from remote sensing data and in situ measurements yields showed that the determination coefficient was 0.60 and a root mean square error of 8.4 m. This study suggests that the quasi-analytical algorithm provide a promising result on in situ data. In the future, maps of ocean transparency for this area will be derived using this algorithm. |
| 作者部门 | 海岸带信息集成与综合管理实验室 |
| DOI | 10.1117/12.2068166 |
| 收录类别 | EI |
| 语种 | 英语 |
| 引用统计 | |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.yic.ac.cn/handle/133337/8833 |
| 专题 | 中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心 |
| 推荐引用方式 GB/T 7714 | Yu, Dingfeng,Zhou, Bin,Xing, Qianguo,et al. Monitoring Secchi depth of the Yellow Sea and the East China Sea using a semi-analytical algorithm[C]:SPIE,2014. |
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