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学科主题: Remote Sensing ; Imaging Science & Photographic Technology
题名: Estimation of particulate zinc using MERIS data of the Pearl River Estuary
作者: [Liu, Fenfen ; Tang, Shilin ; Chen, Chuqun] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China ; [Liu, Fenfen] Chinese Acad Sci, Grad Univ, Beijing 100101, Peoples R China
通讯作者: cqchen@scsio.ac.cn
刊名: REMOTE SENSING LETTERS
发表日期: 2013
卷: 4, 期:8, 页:813-821
部门归属: LTO
资助者: We thank the reviewers for their comments and suggestions on an earlier version of this manuscript. This study was funded by the National Natural Science Foundation of China (Nos. 40976106, 41006111 and 41276182), the Guangzhou City Project for the Pearl River New Star in Science and Technology (No. 2011J2200022) and the Public Science and Technology Research Funds' Ocean Projects (No. 201205040-5).
摘要: Marine heavy metals in the particulate phase are considered to be undetectable from remote sensing since their minor spectral signal is masked by marine optical constitutes. However, over 80% of heavy metals adsorb to and complex with the suspended sediment and the quantity of adsorbed heavy metals strongly depends on suspended sediment load and size. Thus, the suspended sediment load and size could be useful information to estimate heavy metal levels through remote-sensing techniques. We investigate the potential to derive heavy metal concentration, using zinc as an example. Eight cruises in the Pearl River Estuary were carried out to measure zinc concentrations in the particulate phase (C-zn) and remote-sensing reflectance (R-rs) data from 2009 to 2010. The relationship of R-rs ratio in the near infrared bands and the scattering spectral slope (which indicates particle size distribution (PSD)) is first proposed. According to a previously established suspended sediment algorithm for the study area and the newly proposed relationship of remote-sensing reflectance and suspended sediment size, a piecewise algorithm is developed to retrieve C-zn. The accuracies of the algorithm developed here (correlation coefficient (r)=0.88, mean relative error (MRE)=24.7% and root mean square error (RMSE)=5.51) are higher than those algorithms only considering suspended sediment load (r=0.79, MRE=35.3% and RMSE=8.93) or size (r=0.78, MRE=30.0% and RMSE=7.19). The algorithm is applied to Medium Resolution Imaging Spectrometer (MERIS) full resolution data to obtain C-zn distribution in the Pearl River Estuary. The C-zn from image is mainly in the range from 10 to 63g l(-1), which is consistent with the in situ data ranges (5.67-86.62g l(-1)).
语种: 英语
原文出处: 查看原文
WOS记录号: WOS:000320642900010
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内容类型: 期刊论文
URI标识: http://ir.scsio.ac.cn/handle/344004/10898
Appears in Collections:热带海洋环境国家重点实验室(LTO)_期刊论文

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Recommended Citation:
[Liu, Fenfen; Tang, Shilin; Chen, Chuqun] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China; [Liu, Fenfen] Chinese Acad Sci, Grad Univ, Beijing 100101, Peoples R China.Estimation of particulate zinc using MERIS data of the Pearl River Estuary,REMOTE SENSING LETTERS,2013,4(8):813-821
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