水资源与水工程学报2017，Vol.28Issue(2)：26-32,39,8.DOI:10.11705/j.issn.1672-643X.2017.02.05
基于GOCI影像反演湖泊悬浮物和叶绿素a含量的研究述评
A review of research on retrieving the concentration of suspended particulate matter and chlorophyll a in lake based on GOCI images
摘要
Abstract
The suspended particulate matter and chlorophyll-a,two important parameters of lake water quality,are often used to measure lake eutrophication extent.This paper introduced the research progress of estimating the concentration of suspended particulate matter and chlorophyll-a in lakes based on GOCI images,analyzed the suitability of several atmospheric correction methods for GOCI data,and found that the atmospheric correction based on 6S model had the best effect.Several inversion models of GOCI for chlorophyll a and suspended particulate matter were compared.The results showed that the inversion based on empirical method was simple and easy to implement,but it was lack of physical basis;the inversion based on the analysis method had clear mechanism,but was difficult to realize;the inversion basedon semi-analysis method was to do the statistics for the spectral features of water quality parameters,to establish a quantitative relationship between water quality parameters and band combination of remote sensing data values,and then estimate the content of water quality parameters.This method was easy to realize and had certain physical meanings.Finally,the status quo was summarized and some own opinions about the development of the water indicators retrievals from GOCI data were put forward.关键词
湖泊/GOCI影像/反演/叶绿素a/悬浮颗粒物Key words
lake/GOCI(Geostationary Ocean Color Imager)/retrieving/Chlorophyll a/suspended particulate matter分类
资源环境引用本文复制引用
胡耀躲,窦同宇,杨波..基于GOCI影像反演湖泊悬浮物和叶绿素a含量的研究述评[J].水资源与水工程学报,2017,28(2):26-32,39,8.基金项目
国家自然科学基金项目(41171342、41325001) （41171342、41325001）
湖南省水利厅专项项目 （）
