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
2003
发表期刊INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
卷号24期号:5页码:1171-1176
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.
部门归属Chinese Acad Sci, S China Sea Inst Oceanog, LED, Guangzhou 510301, Peoples R China
学科领域Remote Sensing ; Imaging Science & Photographic Technology
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收录类别sci
资助项目LED
WOS记录号WOS:000181926400022
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被引频次:15[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.scsio.ac.cn/handle/344004/5575
专题热带海洋环境国家重点实验室(LTO)
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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[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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