Remote sensing estimation of carbon fractions in the Chinese Yellow River estuary

doi:10.1080/1064119X.2017.1297876

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 中科院海岸带环境过程与生态修复重点实验室 > 海岸带信息集成与综合管理实验室

	Remote sensing estimation of carbon fractions in the Chinese Yellow River estuary
	Yu, Xiang 1,2,3; Wang, Yebao 1,2,3; Liu, Xiangyang 4; Liu, Xin1,2 ; Liu, Xin(Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Shandong, Peoples R China)
刊名	MARINE GEORESOURCES & GEOTECHNOLOGY
	2018
卷号	36 期号:2 页码:202-210
关键词	Carbon Fractions Chinese Yellow River Estuary Modis Remote Sensing
ISSN号	1064-119X
DOI	10.1080/1064119X.2017.1297876
产权排序	第1完成单位 ; 第2完成单位
文献子类	Article
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.
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WOS关键词	DISSOLVED ORGANIC-CARBON ; WATER-QUALITY ; CHLOROPHYLL-A ; SPECTRAL REFLECTANCE ; SURFACE-TEMPERATURE ; SPATIAL VARIATIONS ; MATTER ABSORPTION ; INORGANIC CARBON ; SATELLITE DATA ; TROPHIC STATE
WOS研究方向	Engineering ; Oceanography ; Mining & Mineral Processing
语种	英语
WOS记录号	WOS:000424062100006
资助机构	Chinese Academy of Sciences(NSFC41371483, KZZD-EW-14)
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/23570]
专题	烟台海岸带研究所_海岸带信息集成与综合管理实验室
通讯作者	Liu, Xin; Liu, Xin(Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Shandong, Peoples R China)
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
推荐引用方式 GB/T 7714	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.
APA	Yu, Xiang,Wang, Yebao,Liu, Xiangyang,Liu, Xin,&Liu, Xin.(2018).Remote sensing estimation of carbon fractions in the Chinese Yellow River estuary.MARINE GEORESOURCES & GEOTECHNOLOGY,36(2),202-210.
MLA	Yu, Xiang,et al."Remote sensing estimation of carbon fractions in the Chinese Yellow River estuary".MARINE GEORESOURCES & GEOTECHNOLOGY 36.2(2018):202-210.