Remote sensing retrieval of surface suspended sediment concentration in the Yellow River Estuary

doi:10.1007/s11769-017-0921-7

	Remote sensing retrieval of surface suspended sediment concentration in the Yellow River Estuary
	Zhan Chao 1,2,3; Yu Junbao1,2 ; Wang Qing 2; Li Yunzhao 2; Zhou Di2 ; Xing Qinghui 1,3; Chu Xiaojing 1,3; Yu Junbao(Chinese Acad Sci, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China)
发表期刊	CHINESE GEOGRAPHICAL SCIENCE
ISSN	1002-0063
	2017-12-01
卷号	27 期号:6 页码:934-947
关键词	Surface Suspended Sediment Concentration (Sssc) Water Spectral Reflectance Cubic Model Quantitative Remote Sensing Inversion Yellow River Estuary
研究领域	Environmental Sciences
DOI	10.1007/s11769-017-0921-7
产权排序	第1完成单位
作者部门	海岸带环境过程实验室
英文摘要	Accurate assessment of surface suspended sediment concentration (SSSC) in estuary is essential to address several important issues: erosion, water pollution, human health risks, etc. In this study, an empirical cubic retrieval model was developed for the retrieval of SSSC from Yellow River Estuary. Based on sediments and seawater collected from the Yellow River and southeastern Laizhou Bay, SSSC conditions were reproduced in the laboratory at increasing concentrations within a range common to field observations. Continuous spectrum measurements of the various SSSCs ranging from 1 to 5700 mg/l were carried out using an AvaField-3 spectrometer. The results indicated the good correlation between water SSSC and spectral reflectance (R (rs)) was obtained in the spectral range of 726-900 nm. At SSSC greater than 2700 mg/L, the 740-900 nm spectral range was less susceptible to the effects of spectral reflectance saturation and more suitable for retrieval of high sediment concentrations. The best correlations were obtained for the reflectance ratio of 820 nm to 490 nm. Informed by the correlation between R (rs) and SSSC, a retrieval model was developed (R (2) = 0.992). The novel cubic model, which used the ratio of a near-infrared (NIR) band (740-900 nm) to a visible band (400-600 nm) as factors, provided robust quantification of high SSSC water samples. Two high SSSC centers, with an order of 10(3) mg/l, were found in the inversion results around the abandoned Diaokou River mouth, the present Yellow River mouth to the abandoned Qingshuigou River mouth. There was little sediment exchange between the two high SSSC centers due to the directions of the residual currents and vertical mixing.
文章类型	Article
资助机构	National Key R&D Program of China(2017YFC0505902) ; Project of the Cultivation Plan of Superior Discipline Talent Teams of Universities in Shandong Province ; National Natural Science Foundation of China(41471005, 41271016)
收录类别	SCI
语种	英语
关键词[WOS]	SEASONAL VARIABILITY ; COASTAL WATERS ; SATELLITE DATA ; BOHAI SEA ; MODIS ; REFLECTANCE ; TRANSPORT ; LANDSAT ; IMAGERY ; TURBIDITY
研究领域[WOS]	Environmental Sciences & Ecology
WOS记录号	WOS:000415349200007
CSCD记录号	CSCD:6102044
引用统计	被引频次：17[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/23472
专题	中国科学院海岸带环境过程与生态修复重点实验室中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心中国科学院海岸带环境过程与生态修复重点实验室_滨海湿地实验室
通讯作者	Yu Junbao; Yu Junbao(Chinese Acad Sci, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China)
作者单位	1.Chinese Acad Sci, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China 2.Ludong Univ, Inst Coastal Ecol, Yantai 264025, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Zhan Chao,Yu Junbao,Wang Qing,et al. Remote sensing retrieval of surface suspended sediment concentration in the Yellow River Estuary[J]. CHINESE GEOGRAPHICAL SCIENCE,2017,27(6):934-947.
APA	Zhan Chao.,Yu Junbao.,Wang Qing.,Li Yunzhao.,Zhou Di.,...&Yu Junbao.(2017).Remote sensing retrieval of surface suspended sediment concentration in the Yellow River Estuary.CHINESE GEOGRAPHICAL SCIENCE,27(6),934-947.
MLA	Zhan Chao,et al."Remote sensing retrieval of surface suspended sediment concentration in the Yellow River Estuary".CHINESE GEOGRAPHICAL SCIENCE 27.6(2017):934-947.