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题名:
Remote sensing estimation of carbon fractions in the Chinese Yellow River estuary
作者: Yu, Xiang1,2,3; Wang, Yebao1,2,3; Liu, Xiangyang4; Liu, Xin1,2
刊名: MARINE GEORESOURCES & GEOTECHNOLOGY
ISSN号: 1064-119X
出版日期: 2018
卷号: 36, 期号:2, 页码:202-210
关键词: Carbon fractions ; Chinese Yellow River estuary ; MODIS ; remote sensing
DOI: 10.1080/1064119X.2017.1297876
产权排序: 第1完成单位 ; 第2完成单位
通讯作者: Liu, Xin(Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Shandong, Peoples R China)
英文摘要: Reliable and consistent carbon fraction estimates are crucial in studying the role of coasts in the global carbon cycle. Remote sensing offers the potential to estimate carbon fractions with its advantages of large spatial coverage and real-time surveys. Colored dissolved organic matter (CDOM) absorption was generally used as a proxy to estimate dissolved organic carbon (DOC). However, the CDOM-DOC relationship varies by region and remains inconstant. Thus, the correlation between the reflectivity of visible band and DOC concentration was directly adopted in DOC estimation and performed well in former studies. Atomic groups of the various components of carbon fractions produce electronic transition by absorbing photons, and this process occurs both in the visible bands and in the near-infrared bands. Thus, the wide range of absorption band provides an approach to estimate carbon fractions using the correlation between the reflectivity of the whole visible/near-infrared bands of optical satellite sensors and carbon fractions. A new ratio band combination was developed and performed well in carbon fraction concentration retrievals, and the yielded estimation accuracies (R-2>0.77, RPD >2.02) were sufficient to map the spatial distributions of carbon fractions with the moderate resolution imaging spectroradiometer image.
研究领域[WOS]: Engineering ; Oceanography ; Mining & Mineral Processing
项目资助者: Chinese Academy of Sciences(NSFC41371483, KZZD-EW-14)
关键词[WOS]: DISSOLVED ORGANIC-CARBON ; WATER-QUALITY ; CHLOROPHYLL-A ; SPECTRAL REFLECTANCE ; SURFACE-TEMPERATURE ; SPATIAL VARIATIONS ; MATTER ABSORPTION ; INORGANIC CARBON ; SATELLITE DATA ; TROPHIC STATE
文章类型: Article
收录类别: SCI
原文出处: 查看原文
语种: 英语
WOS记录号: WOS:000424062100006
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.yic.ac.cn/handle/133337/23570
Appears in Collections:海岸带信息集成与综合管理实验室_期刊论文

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作者单位: 1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Shandong, Peoples R China
2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Shandong Prov Key Lab Coastal Environm Proc, Yantai, Shandong, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China

Recommended Citation:
Yu, Xiang,Wang, Yebao,Liu, Xiangyang,et al. Remote sensing estimation of carbon fractions in the Chinese Yellow River estuary[J]. MARINE GEORESOURCES & GEOTECHNOLOGY,2018,36(2):202-210.
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