A Novel Atmospheric Correction for Turbid Water Remote Sensing

For the remote sensing of turbid waters, atmospheric correction (AC) is a key issue. The “black pixel” assumption helps to solve AC for waters. It has proved be inaccurate regard all water pixels in SWIR (Short Wave Infrared) band as black pixels. necessary perform visible bands after removing radiation contributions band. Here, modified ACZI (m-ACZI) algorithm was developed. m-ACZI assumes spatial homogeneity aerosol types and employs BPI (Black Pixel Index) PIFs (Pseudo-Invariant Features) identify pixel”. Then, waters are removed complete results showed that had better performance than SeaDAS (SeaWiFS Data Analysis System) -SWIR EXP (exponential extrapolation) (sMAPE < 30.71%, RMSE 0.0111 sr−1) similar DSF (Dark Spectrum Fitting) floating algae suitable inland