Algae （Microcystis and Scenedesmus） absorption spectra and its application on Chlorophyll a retrieval

作     者：Di WU Maosi CHEN Qiao WANG Wei GAO 

作者机构：Satellite Environment Center Ministry of Environmental Protection Beijing 100094 China USDA UV-B Monitoring and Research Program Natural Resource Ecology Laboratory Colorado State University Fort Collins CO 80521 USA Department of Ecosystem Science and Sustainability Colorado State University Fort Collins CO 80521 USA 

出 版 物：《Frontiers of Earth Science》 (地球科学前沿（英文版）)

年 卷 期：2013年第7卷第4期

页      面：522-530页

核心收录：

学科分类：12[管理学] 082803[工学-农业生物环境与能源工程] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0828[工学-农业工程] 0804[工学-仪器科学与技术] 

基　　金：supported partially by Water Special Project USDA UVB Monitoring and Research Program under Grant No. USDA NIFA project 

主　　题：algae absorption coefficient spectra Chlorophyll a trust region Continuous Wavelet Transform 

摘      要：Blue algae and green algae are the dominant phytoplankton groups that contribute to the eutrophication and the water bloom in inland water of China. The absorption coefficients （spectra） of the algae, which do not change with its intrinsic optical characteristics and the observation geometry, are strictly additive quantities. The characteristics of the absorption spectra of the two algae are presented. The pure blue algae and the pure green algae cultured in the laboratory environment are diluted and mixed at ten volume ratios. The Quantitative Filter Technique was applied to measure their absorption spectra. The ＂hot-ethanol extraction＂ method was chosen to calculate their concentration of Chlorophyll a. The retrieval algorithm developed in this study extracts the mapping information between each individual alga and their Chlorophyll a concentration via Continuous Wavelet Transform, and retrieves the Chlorophyll a concentration of each alga in their mixture using a trust region optimizer. The results show that the retrieved and the measured Chlorophyll a concentrations of the blue algae and the green algae components in the ten mixture match well with the average relative error of 5.55%.