Uncertainty Evaluation of Water Color Parameters Inversion in Optically Complex Lakes
GUO Yuyu
LI Hanhan
WEI Xiaoqi
HUANG Zehui
XUE Kun
MA Ronghua
HU Zhaoling
Abstract：Remote sensing of lake water color provides the possibility for monitoring lake water quality in a large range and long time series,and remote sensing reflectance is of great significance for the construction of water environment parameter in-version model.In this study,taking Lake Taihu and Lake Wuliangsuhai as study region,combined with Landsat-8 OLI(opera-tional land imager)data and existing algorithms,the results of transparency,suspended solids and algal blooms are verified for the uncertainty of three reflectance products(top of atmosphere reflectance(TOA),Rayleigh corrected reflectance(Rrc),sur-face reflectance(SR))in parameter inversion.The results show that the reflectance of turbidity water is higher than that of clear water.Rrc and SR is more consistent with the characteristics of real water spectral curve,but TOA is significantly in-creased in visible bands,and the stability of Rrc is better than that of SR.The results of SDDSong in Lake Wuliangsuhai are better than that of Lake Taihu,while the results of SDDZhang are opposite.The accuracy of SPMCao in the two lakes is higher than that of SPMwen,and besides,the results of FAIRrc and FAISR show great consistency.The reflectance errors of different levels are shown as TOA＜Rrc＜SR.Through error propagation analysis,the uncertainty of water environment parameter model con-structed based on TOA andRrcis lower than that of SR,and the uncertainty of models in Lake Taihu is lower than that in Lake Wuliangsuhai,with the precision in turbid water better than that in clear water.This study combined different reflec-tance products and models to compare the results of three types of water parameters,and evaluated the uncertainty of different levels of remote sensing reflectance products in the inversion of water environmental parameters of lakes with complex op-tical properties,which would provide theoretical reference for the empirical algorithm of lake water color remote sensing,so as to promote the sustainable development of lake water quality monitoring.
Keywords：Landsatremote sensing reflectancelake color remote sensingerror propagationuncertainty evaluation
Publication Date：2023-08-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：12( 15-26 )