Abstract

Lake Llanquihue is a body of water of significant economic and ecological importance for Chile, being the second largest lake in the country and a hub for essential tourist activities. Consequently, this study aims to assess its water quality by estimating chlorophyll-a concentrations using algorithms derived from Sentinel-2 satellite data and three atmospheric correction methods: Sen2Cor, C2X, and Acolite. The results suggest that Acolite, in combination with the B4/B5 algorithm, yields the most efficient simulations. However, the accuracy of the results is limited due to the large surface area of the lake and the small number of monitoring stations. Therefore, greater spatial coverage of in-situ measurements is needed to refine the model and improve its accuracy. This study highlights the importance and potential of satellite remote sensing in monitoring and predicting environmental changes in aquatic ecosystems.