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渤黄海水体漫衰减系数的遥感反演

毛颖 丘仲锋 孙德勇 王胜强 路颖 吴晨颖 岳小媛 叶之翩

广西科学2016,Vol.23Issue(6):513-519,7.
广西科学2016,Vol.23Issue(6):513-519,7.DOI:10.13656/j.cnki.gxkx.20161230.001

渤黄海水体漫衰减系数的遥感反演

A Novel Remote Sensing Algorithm for Estimating Dif-fuse Attenuation Coefficient in the Bohai Sea and Yellow Sea

毛颖 1丘仲锋 1孙德勇 1王胜强 1路颖 1吴晨颖 1岳小媛 1叶之翩1

作者信息

  • 1. 南京信息工程大学海洋科学学院,江苏南京 210044
  • 折叠

摘要

Abstract

[Objective]Considering the complex characteristics of the Chinese Seas,a novel,rath-er high accuracy and stable algorithm was built to suit for both the clear water body and the turbid water body.[Methods]Based on in situ data around the coastal regions of China from January 2000 to February 2004,semi-analytical and empirical algorithms were developed for de-riving diffuse attenuation coefficient in turbid and clear waters,respectively.Based on the meth-od of weighting,these two algorithms were combined as a new algorithm.[Results]The retrieval result of the new combined algorithm shows that the correlation coefficient(R2 )of the algorithm reaches 0.891,and the RMSE and the MAPE are 0.543 m-1 and 26.77%,respectively. Furthermore,the precision and the stability of the algorithm are relatively good in model vali-dation.[Conclusion]The new algorithm is suit-able for the retrieval of Kd(490)in Bohai Sea and Yellow Sea.

关键词

海洋光学/经验算法/半分析算法/联合算法

Key words

marine optics/empirical algorithm/semi-analytical algorithm/combined algorithm

分类

海洋科学

引用本文复制引用

毛颖,丘仲锋,孙德勇,王胜强,路颖,吴晨颖,岳小媛,叶之翩..渤黄海水体漫衰减系数的遥感反演[J].广西科学,2016,23(6):513-519,7.

基金项目

国家自然科学基金项目(41276186,41576172,41506200),江苏省自然科学基金项目(BK20151526,BK20150914),江苏省高校自然科学基金项目(15KJB170015),“全球变化与海气相互作用”专项(GASI03030101),江苏省“青蓝工程”优秀青年骨干教师项目和南京信息工程大学大学生实践创新训练计划项目(201510300256,201510300073,201610300035,201610300064)资助。 (41276186,41576172,41506200)

广西科学

OACSTPCD

1005-9164

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