Estimation of total suspended matter concentration from MODIS data using a neural network model in the China eastern coastal zone | |
Chen, Jun1,2; Quan, Wenting; Cui, Tingwei3; Song, Qingjun4 | |
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/handle/2SI8HI0U/3685] |
专题 | 业务部门_海洋物理与遥感研究室 |
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. |
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