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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
会议录名称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
出版者SPIE
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
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
关键词Remote Sensing East China Sea Modis Retrieval Secchi Disk Depth Yellow Sea
文章类型会议论文
DOI10.1117/12.2068166
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
专题海岸带信息集成与综合管理实验室
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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