Estimation of suspended particulate matter in turbid coastal waters: application to hyperspectral satellite imagery
Zhao, J; Cao, WX; Xu, ZT; Ye, HB; Yang, YZ; Wang, GF; Zhou, W; Sun, ZH
刊名OPTICS EXPRESS
2018
卷号26期号:8页码:10476-10493
通讯作者zhaojun28@mail.sysu.edu.cn
英文摘要An empirical algorithm is proposed to estimate suspended particulate matter (SPM) ranging from 0.675 to 25.7 mg L-1 in the turbid Pearl River estuary (PRE). Comparisons between model predicted and in situ measured SPM resulted in R(2)s of 0.97 and 0.88 and mean absolute percentage errors (MAPEs) of 23.96% and 29.69% by using the calibration and validation data sets, respectively The developed algorithm demonstrated the highest accuracy when compared with existing ones for turbid coastal waters. The diurnal dynamics of SPM was revealed by applying the proposed algorithm to reflectance data collected by a moored buoy in the PRE. The established algorithm was implemented to Hyperspectral Imager for the Coastal Ocean (HICO) data and the distribution pattern of SPM in the PRE was elucidated. Validation of HICO-derived reflectance data by using concurrent MODIS/Aqua data as a benchmark indicated their reliability. Factors influencing variability of SPM in the PRE were analyzed. which implicated the combined effects of wind, tide. rainfall. and circulation as the cause. (C) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Ageement.
学科主题Optics
内容类型期刊论文
源URL[http://ir.scsio.ac.cn/handle/344004/17077]  
专题南海海洋研究所_热带海洋环境国家重点实验室(LTO)
推荐引用方式
GB/T 7714
Zhao, J,Cao, WX,Xu, ZT,et al. Estimation of suspended particulate matter in turbid coastal waters: application to hyperspectral satellite imagery[J]. OPTICS EXPRESS,2018,26(8):10476-10493.
APA Zhao, J.,Cao, WX.,Xu, ZT.,Ye, HB.,Yang, YZ.,...&Sun, ZH.(2018).Estimation of suspended particulate matter in turbid coastal waters: application to hyperspectral satellite imagery.OPTICS EXPRESS,26(8),10476-10493.
MLA Zhao, J,et al."Estimation of suspended particulate matter in turbid coastal waters: application to hyperspectral satellite imagery".OPTICS EXPRESS 26.8(2018):10476-10493.
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