气候变化领域集成服务门户(CCPortal): Remote sensing approach for the estimation of particulate organic carbon in coastal waters based on suspended particulate concentration and particle median size

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DOI	10.1016/j.marpolbul.2020.111382
	Remote sensing approach for the estimation of particulate organic carbon in coastal waters based on suspended particulate concentration and particle median size
	Wang F.; Wang Y.; Chen Y.; Liu K.
发表日期	2020
ISSN	0025326X
卷号	158
英文摘要	The particulate organic carbon (POC) content retrieved by remote sensors is influenced by the suspended particulate concentration (SPC) and the particle size distribution (PSD). The objective of this study was to provide study case of remote sensing monitoring of non-optical activity substance POC in Hangzhou bay, China. A modified empirical remote sensing algorithm was established based on SPC and median particle size (D50) to describe the influence of PSD variation on remote sensing reflectance (Rrs). The algorithm was applied to MODIS data to reveal POC spatial and temporal variations. The results show that the accuracy of the remote sensing estimation algorithm, established on the basis of Mie theory, is relatively higher than the empirical model simply based on the statistical correlation between Rrs and POC. The POC in Hangzhou bay caused by spring and neap tides vary significantly. © 2020 Elsevier Ltd
英文关键词	Hangzhou bay; MODIS image; Particle size distribution; Particulate organic carbon; Suspended particulate concentration
语种	英语
scopus关键词	Organic carbon; Particle size; Particle size analysis; Particulate organic carbon; Remote sensing algorithms; Remote sensing approaches; Remote sensing estimations; Remote sensing monitoring; Remote-sensing reflectance; Spatial and temporal variation; Statistical correlation; Remote sensing; organic carbon; carbon; algorithm; coastal water; concentration (composition); estimation method; MODIS; particle size; particulate organic carbon; pollution monitoring; remote sensing; suspended particulate matter; algorithm; Article; case study; China; coastal waters; concentration (parameter); data analysis; empirical research; measurement accuracy; particle size; remote sensing; spatiotemporal analysis; statistical analysis; suspended particulate matter; theory; environmental monitoring; particle size; China; Hangzhou Bay; Zhejiang; Carbon; China; Environmental Monitoring; Particle Size; Remote Sensing Technology
来源期刊	Marine Pollution Bulletin
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/148771
作者单位	College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 310036, China; College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
推荐引用方式 GB/T 7714	Wang F.,Wang Y.,Chen Y.,et al. Remote sensing approach for the estimation of particulate organic carbon in coastal waters based on suspended particulate concentration and particle median size[J],2020,158.
APA	Wang F.,Wang Y.,Chen Y.,&Liu K..(2020).Remote sensing approach for the estimation of particulate organic carbon in coastal waters based on suspended particulate concentration and particle median size.Marine Pollution Bulletin,158.
MLA	Wang F.,et al."Remote sensing approach for the estimation of particulate organic carbon in coastal waters based on suspended particulate concentration and particle median size".Marine Pollution Bulletin 158(2020).