Performance evaluation of semi-empirical models for remote estimation of CDOM concentration in a tropical productive estuary
CDOM; REMOTE SENSING; ESTUARIAN SYSTEMS
The colored dissolved organic matter (CDOM) is largely responsible for the absorption of sunlight and affects the photobiological and ecological processes of aquatic systems. Estuarine systems are susceptible to high concentrations due to terrestrial carbon from the hydrographic basin. Thus, there is a need for regular monitoring of this parameter in these aquatic systems aiming at an adequate ecosystem functioning. The use of remote sensing is an excellent alternative due to its ability to monitor water bodies at a low cost, in wide areas and adequate time intervals. However, there is still a need for more robust algorithms for estimating CDOM in optically complex systems such as estuarine systems. In this work, we seek to develop semi-empirical models for remote estimation of CDOM in a productive tropical lagoon-lagoon system. For this, data collected in situ of spectral reflectance and measurements of CDOM concentration will be used. From this data set, semi-empirical models based on the band ratio will be developed. A Support Vector Machine (SVM) algorithm will also be evaluated. It is expected to study the potential of obtaining algorithms that can estimate CDOM in a productive tropical lagoon system with good performance and robustness. Also, check the effects of using more than one band ratio as input for the models.