中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Retrieval of Secchi disk depth in the Yellow Sea and East China Sea using 8-day MODIS data

文献类型:会议论文

作者Yu, D.F.(1,2) ; Xing, Q.G.(1) ; Lou, M.J.(1,2) ; Shi, P.(1)
出版日期2014
会议名称35th International Symposium on Remote Sensing of Environment, ISRSE 2013
会议日期April 22, 2013 - April 26, 2013
会议地点Beijing, China
卷号17
通讯作者Xing, Q.G. (qgxing@yic.ac.cn)
英文摘要Secchi disk depth (SDD), is widely used as an indicator of water clarity. The traditional sampling method is not only time-consuming and labor-intensive but also limited in terms of temporal and spatial coverage. Remote sensing technology may deal with these limitations. In this paper, the applicability of 8-day MODIS-Aqua remote sensing reflectance data with 4 km spatial resolution for estimating water clarity in the Yellow Sea and the East China Sea was investigated. Field data such as Secchi depths were collected from two cruises conducted in the Yellow Sea and the East China Sea from 5 May to 7 June 2009. A three-band algorithm to retrieve SDD was developed based on remote sensing reflectance at bands of 488, 555, and 678 nm, which performed better than single-band model and band ratio algorithm, with a determination coefficient of 0.72 and a mean relative error of 19%. This suggests that 8-day MODIS-Aqua products of remote sensing reflectance could be used to assess water transparency in the study area.
收录类别EI
产权排序(1) Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, No.17 Chuihui Road, Laishan District, Yantai, 264003, China ; (2) University of Chinese Academy of Sciences, No.19A Yuquan Road, Shijingshan District, Beijing, China
会议主办者LDE; LIESMARS; NRSCC; REIS
会议录35th International Symposium on Remote Sensing of Environment, ISRSE 2013
会议录出版者Institute of Physics Publishing
语种英语
ISSN号1755-1307
源URL[http://ir.yic.ac.cn/handle/133337/8827]  
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
推荐引用方式
GB/T 7714
Yu, D.F.,Xing, Q.G.,Lou, M.J.,et al. Retrieval of Secchi disk depth in the Yellow Sea and East China Sea using 8-day MODIS data[C]. 见:35th International Symposium on Remote Sensing of Environment, ISRSE 2013. Beijing, China. April 22, 2013 - April 26, 2013.

入库方式: OAI收割

来源:烟台海岸带研究所

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