Using Landsat 8 data to estimate suspended particulate matter in the Yellow River estuary

doi:10.1002/2016JC012412

IOCAS-IR > 海洋环流与波动重点实验室

	Using Landsat 8 data to estimate suspended particulate matter in the Yellow River estuary
	Qiu, Zhongfeng 1,2,3; Xiao, Cong 1; Perrie, William 1,3; Sun, Deyong 1,2; Wang, Shengqiang 1,2; Shen, Hui 1,2,3; Yang, Dezhou 4,5; He, Yijun 1,2
	2017
发表期刊	JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
卷号	122 期号:1 页码:276-290
文章类型	Article
摘要	The distribution of suspended particulate matter (SPM) and its variations in estuary regions are key to promoting carbon, oxygen, and nutrient cycling in coastal regions and nearby seas. This study presents SPM estimations for the Yellow River estuary from Landsat 8 Operational Land Imager (L8/OLI) data from 2013 to 2016. L8/OLI-measured remote sensing reflectance (R-rs) was cross-validated with Moderate Resolution Imaging Spectroradiometer (MODIS) measurements, and SPM concentrations calculated from the tuned retrieval model were validated with in situ observations. The validation shows that L8/OLI can provide reasonably R-rs, which can be used to quantify SPM distributions and variations in the Yellow River estuary. Three year averaged SPM maps show that highly turbid waters are mostly found in an ovate area surrounding the mouth of the Yellow River. The corresponding area proportion is less than 30%, with SPM concentrations greater than 100 g m(-3). High variations of SPM distributions are consistent with high SPM concentrations, and vice versa. Significant difference is observed between dry and wet seasons. Higher SPM in the dry season is observed both in range and intensity compared to those of the wet season. Furthermore, multiyear averaged SPM distributions with high concentrations are mainly attributable to currents. Significant seasonal variations are mainly controlled by sediment resuspension processes driven by wind-wave forces. Due to human interventions, seasonal variability in river runoff and sediment discharge from the Yellow River has decreased in recent years. Accordingly, seasonal variability in SPM distributions in the Yellow River estuary due to sediment discharge has decreased.
DOI	10.1002/2016JC012412
收录类别	SCI
语种	英语
WOS记录号	WOS:000394996400017
引用统计	被引频次：49[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
版本	出版稿
条目标识符	http://ir.qdio.ac.cn/handle/337002/136406
专题	海洋环流与波动重点实验室
作者单位	1.Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing, Jiangsu, Peoples R China 2.Nanjing Univ Informat Sci & Technol, Jiangsu Res Ctr Ocean Survey Technol, Nanjing, Jiangsu, Peoples R China 3.Fisheries & Oceans Canada, Bedford Inst Oceanog, Dartmouth, NS, Canada 4.Chinese Acad Sci, Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China 5.Chinese Acad Sci, Inst Oceanol, Qingdao, Peoples R China
推荐引用方式 GB/T 7714	Qiu, Zhongfeng,Xiao, Cong,Perrie, William,et al. Using Landsat 8 data to estimate suspended particulate matter in the Yellow River estuary[J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS,2017,122(1):276-290.
APA	Qiu, Zhongfeng.,Xiao, Cong.,Perrie, William.,Sun, Deyong.,Wang, Shengqiang.,...&He, Yijun.(2017).Using Landsat 8 data to estimate suspended particulate matter in the Yellow River estuary.JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS,122(1),276-290.
MLA	Qiu, Zhongfeng,et al."Using Landsat 8 data to estimate suspended particulate matter in the Yellow River estuary".JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS 122.1(2017):276-290.

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文件名称/大小	文献类型	版本类型	开放类型	使用许可
Using Landsat 8 data（3622KB）	期刊论文	出版稿	限制开放	CC BY-NC-SA	浏览