An Improved Inherent Optical Properties Data Processing System for Residual Error Correction in Turbid Natural Waters

Being able to accurately estimate inherent optical properties (IOPs) at long time scales is key comprehending the aquatic biological and biogeochemical responses long-term global climate change. We employed near-infrared band combined it with four “common bands” visible wavelengths (around 443, 490, 551, 670 nm) adjust IOPs data processing system, IDAS v2 . applied algorithm further correct for residual error in images of turbid waters. evaluated performance using datasets covering a wide range natural water types from clear open ocean coastal inland Due water-leaving signals’ sensitivity optically significant constituents highly waters, was very important retrieving those In our analysis, we found that provided <28.36% uncertainty oceanic waters <37.83% which much more effective than what quasi-analytical provided. Moreover, better removing partial intermission bias satellite remote sensing reflectance ( R xmlns:xlink="http://www.w3.org/1999/xlink">rs ) because strong absorption pure water. tested numerically simulated observed After applying , were determined contaminated by error. Furthermore, mean difference between Medium Resolution Spectral Imager 2 Visible Infrared Imaging Radiometer 443 551 nm decreased 8%–25% 1%–9%. These results suggest can including naturally