A local algorithm for estimation of yellow substance (gelbstoff) in coastal waters from SeaWiFS data: Pearl River estuary, China
Chen, CQ ; Shi, P ; Zhan, HG
刊名INTERNATIONAL JOURNAL OF REMOTE SENSING
2003
卷号24期号:5页码:1171-1176
ISSN号0143-1161
中文摘要A general three-component ocean colour model was used For simulation of water reflectance by inputting sea water component data measured in the Pearl River,er estuary of southern China. Based on the simulated reflectance data and Dissolved Organic Carbon (DOC) sea water component data a local algorithm for estimation of DOC concentration has developed. The application of the local algorithm shoal's that the estimated DOC is in close agreement in terms of concentration and distribution pattern with the sea water component data.
学科主题Remote Sensing; Imaging Science & Photographic Technology
收录类别SCI
原文出处TAYLOR & FRANCIS LTD
WOS记录号WOS:000181926400022
公开日期2011-07-03
内容类型期刊论文
源URL[http://ir.scsio.ac.cn/handle/344004/5575]  
专题南海海洋研究所_热带海洋环境国家重点实验室(LTO)
推荐引用方式
GB/T 7714
Chen, CQ,Shi, P,Zhan, HG. A local algorithm for estimation of yellow substance (gelbstoff) in coastal waters from SeaWiFS data: Pearl River estuary, China[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2003,24(5):1171-1176.
APA Chen, CQ,Shi, P,&Zhan, HG.(2003).A local algorithm for estimation of yellow substance (gelbstoff) in coastal waters from SeaWiFS data: Pearl River estuary, China.INTERNATIONAL JOURNAL OF REMOTE SENSING,24(5),1171-1176.
MLA Chen, CQ,et al."A local algorithm for estimation of yellow substance (gelbstoff) in coastal waters from SeaWiFS data: Pearl River estuary, China".INTERNATIONAL JOURNAL OF REMOTE SENSING 24.5(2003):1171-1176.
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