Uncertainty Analysis of Inland Water Quality Remote Sensing: A Review

Water quality remote sensing is the hot and difficult topic in the field of environment remote sensing.Various factors affect the improvement of inland water quality remote sensing precision.This paper comments on the outstanding problems existing in inland water quality remote sensing monitoring and some key factors influencing the water quality parameters information extraction precision both at home and abroad.The complexity of the optical characteristics of inland body embodies the independence of the water body components,the similarity of the characteristic spectrum and the coupling effects of water components signal and together with the temporal and spatial variation of the water optics.The uncertainty of atmosphere correction embodies the variation of atmospheric aerosol optical characteristics and the uncertainty of correction of reflected light from wave water surface.The complexity and regional characteristics of bio-optical models demand complex inversion algorithms.The scale effects and uncertainty of model validation are obvious for multi-source remote sensing data cooperative inversion.Inland water quality remote sensing differs from ocean color remote sensing,which demands remoted data with high spatial resolution,spectral resolution and temporal resolution.Therefore,the performance limitations of the available satellite sensors in inland water quality monitoring were discussed in detail.All the above-mentioned factors were complicated and integrated.The emphases and the development direction of inland water quality remote sensing were pointed out.