中国海透明度遥感反演算法及应用研究
Evaluation, tuning application of algorithms to derive Secchi depth in the China Sea
Abstract
透明度是衡量海水透光程度的一个重要参数,作为一个基本的、测量简便的水质指标,在环境监测与环境变动研究上,具有很高的实用价值。而卫星遥感是获得大面积同步观测数据的唯一途径。如其他水质参数,其遥感反演算法在近几十年来得到迅猛发展,但各类算法各有利弊,目前仍缺乏系统的评估结果,以及适用于中国海的算法。本论文选择中国海为实验区域,系统评估现有几类透明度遥感反演算法,分析影响算法表现的因子,探索区域调试方法,并应用于MODIS与GOCI卫星数据。取得成果如下: 采用中国海实测数据,对基于[Chl]的经验算法(C算法)、基于Kd的经验算法(K算法)、基于固有光学特性的半分析算法(O算法)进行评估的结果,... Secchi depth(Zsd) is a widely used index of water clarity. There have been decades of efforts to develop approaches to carry out observations of Zsd from space, to ensure continuous data record at large scales. Among the approaches developed, a few are representative, including an empirical Chlorophyll ([Chl]) based algorithm (abbreviated as C algorithm, Morel et al., 2007), an empirical vertical ...