Estimation of total suspended matter concentration from MODIS data using a neural network model in the China eastern coastal zone

doi:10.1016/j.ecss.2015.01.018

	Estimation of total suspended matter concentration from MODIS data using a neural network model in the China eastern coastal zone
	Chen, Jun 1,2; Quan, Wenting ; Cui, Tingwei 3; Song, Qingjun 4
刊名	ESTUARINE COASTAL AND SHELF SCIENCE
	2015-03-20
卷号	155 页码:104-113
关键词	remote sensing coastal waters suspended particulate matter marine environment diffuse attenuation coefficient neural network
ISSN号	0272-7714
DOI	10.1016/j.ecss.2015.01.018
英文摘要	The objectives of this study are to evaluate the applicability of three existing retrieval models of total suspended matter (TSM) in the Bohai, Yellow, and East China Seas (BYES), and to propose a multilayer back propagation neural network (MBPNN) model. Based on the comparison of TSM predicted by these models with in situ measurements taken in the BYES, it was found that the MBPNN model produces a superior performance to the three existing models selected. Near-infrared band-based and shortwave infrared band-based combined model was used to remove the atmospheric effects from the moderate resolution imaging spectroradiometer (MODIS) data, and the TSM concentration was quantified from the MODIS data after atmospheric correction using the MBPNN model. It was found that the MBPNN model produces 41.4% uncertainty in deriving TSM concentration from the MODIS data. The MBPNN model-based climatological seasonal mean TSM concentration indicated that the highest TSM concentrations were found around the river estuaries, while the lowest values were found in the far offshore regions of the BYES. The MBPNN model-based monthly mean TSM concentration revealed that the highest TSM concentrations occurred in February, and the lowest in July. The diffuse attenuation coefficient at 490 am (K-d(490)) depended heavily on TSM concentration in the BYES. The significant relationship (R-2 = 0.72, p < 0.05) between K-d(490) and TSM concentration indicated that the BYES waters are TSM dominated types. (C) 2015 Elsevier Ltd. All rights reserved.
资助项目	Program about Serial Maps of Geology and Geophysics on China Seas and Land on the Scale of 1:1000000[200311000001]
WOS关键词	DIFFUSE ATTENUATION COEFFICIENT ; INHERENT OPTICAL-PROPERTIES ; CHANGJIANG RIVER ESTUARY ; OCEAN-COLOR PRODUCTS ; SOUTHERN NORTH-SEA ; PARTICULATE MATTER ; SATELLITE DATA ; SEDIMENT CONCENTRATION ; ATMOSPHERIC CORRECTION ; CHESAPEAKE BAY
WOS研究方向	Marine & Freshwater Biology ; Oceanography
语种	英语
出版者	ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
WOS记录号	WOS:000352675600012
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/26077]
专题	自然资源部第一海洋研究所
通讯作者	Chen, Jun
作者单位	1.China Univ Geosci, Sch Ocean Sci, Beijing 100083, Peoples R China 2.Qingdao Inst Marine Geol, Qingdao 266071, Peoples R China 3.State Ocean Adm, Inst Oceanog 1, Qingdao 266071, Peoples R China 4.Natl Satellite Ocean Applicat Serv, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Chen, Jun,Quan, Wenting,Cui, Tingwei,et al. Estimation of total suspended matter concentration from MODIS data using a neural network model in the China eastern coastal zone[J]. ESTUARINE COASTAL AND SHELF SCIENCE,2015,155:104-113.
APA	Chen, Jun,Quan, Wenting,Cui, Tingwei,&Song, Qingjun.(2015).Estimation of total suspended matter concentration from MODIS data using a neural network model in the China eastern coastal zone.ESTUARINE COASTAL AND SHELF SCIENCE,155,104-113.
MLA	Chen, Jun,et al."Estimation of total suspended matter concentration from MODIS data using a neural network model in the China eastern coastal zone".ESTUARINE COASTAL AND SHELF SCIENCE 155(2015):104-113.