Remote estimation of Secchi depth using GOCI data

Abstract

This study provides estimation of Secchi disk depth using GOCI data, and the validation results derived from in-situ measurements of Secchi depth. For the estimation, the input parameters inherent optical properties (IOP) is derived using quasi-analytical algorithm (QAA) based on the Doron’s classic algorithm. The validation results show that the mean normalized gross error is around 30% with mean normalized bias around 10%, when estimated by GOCI.uasi-analytical algorithm (QAA) based on the Doron’s classic algorithm. The validation results show that the mean normalized gross error is around 30% with mean normalized bias around 10%, when estimated by GOCI.