Developing water quality retrieval models with in situ hyperspectral data in Poyang Lake,China

作     者：Fangyuan Chen Di Xiao Zhuochao Li 

作者机构：School of Resource and Environmental SciencesWuhan UniversityWuhanChina State-owned Assets Supervision and Administration Commission of Caidian DistrictWuhanChina 

出 版 物：《Geo-Spatial Information Science》 (地球空间信息科学学报（英文）)

年 卷 期：2016年第19卷第4期

页      面：255-266页

核心收录：

学科分类：07[理学] 0707[理学-海洋科学] 

基　　金：This study was supported by the Forestry Non-Profit Industry Scientific Research Special Project“The Research of Ecosystem Service and Evaluation Techniques of Coastal Wetlands China”[grant number 201404305] 

主　　题：Chlorophyll a suspended particulate matter dissolved organic carbon exponential model three-band model remote sensing reflectance 

摘      要：Applying remote sensing techniques to develop the retrieval models and further to obtain the spatiotemporal information of water quality parameters is necessary for understanding,managing,and protecting lake *** study aimed to calibrate and validate the retrieval models for estimating the concentrations of chlorophyll a(C_(CHL)),suspended particulate matter(C_(SPM)),and dissolved organic carbon(C_(DOC))with the in situ hyperspectral measurements in Poyang Lake,China in 2010 and *** model calibration and validation results indicated that:(1)for C_(CHL)retrieval,significantly strong and moderate correlations existed between the measured and estimated values(with the correlation coefficient r=0.92 and r=0.76)using the exponential model and the three-band model,respectively,with biased estimation observed for the exponential model;(2)for retrieving C_(SPM),there was a strong correlation between the measured and estimated values(r=0.95)using the exponential model;and(3)no significant correlation between measured and estimated C_(DOC)values was found with our developed *** work is needed to allow the water quality of Poyang Lake to be accurately and steadily estimated,especially for C_(CHL)and C_(DOC).