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学科主题: Remote Sensing; Imaging Science & Photographic Technology
题名: A local algorithm for estimation of yellow substance (gelbstoff) in coastal waters from SeaWiFS data: Pearl River estuary, China
作者: Chen, CQ ; Shi, P ; Zhan, HG
刊名: INTERNATIONAL JOURNAL OF REMOTE SENSING
发表日期: 2003
卷: 24, 期:5, 页:1171-1176
收录类别: sci
部门归属: Chinese Acad Sci, S China Sea Inst Oceanog, LED, Guangzhou 510301, Peoples R China
项目归属: LED
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.
原文出处: 查看原文
WOS记录号: WOS:000181926400022
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.scsio.ac.cn/handle/344004/5575
Appears in Collections:热带海洋环境动力实验室(LTO)_期刊论文

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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,INTERNATIONAL JOURNAL OF REMOTE SENSING,2003,24(5):1171-1176
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文件名: A local algorithm for estimation of yellow substance (gelbstoff) in coastal waters from SeaWiFS data Pearl River estuary, China .pdf
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