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, Zhongfeng1,2,3; Xiao, Cong1; Perrie, William1,3; Sun, Deyong1,2; Wang, Shengqiang1,2; Shen, Hui1,2,3; Yang, Dezhou4,5; He, Yijun1,2
2017
Source PublicationJOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
Volume122Issue:1Pages:276-290
SubtypeArticle
AbstractThe 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.
DOI10.1002/2016JC012412
Indexed BySCI
Language英语
WOS IDWOS:000394996400017
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Version出版稿
Identifierhttp://ir.qdio.ac.cn/handle/337002/136406
Collection海洋环流与波动重点实验室
Affiliation1.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
Recommended Citation
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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