Lake dynamics are regarded as a potential indicator of climate change, particularly in the context of unstable humidification. The objective of this study is to examine the dynamics of the lake Ilmen water mirror, which serves as the primary fishing water body in the Novgorod region. The study aims to collect remote sensing data, develop a neural network architecture and evaluate the outcomes of the employed methods. The results indicate that Lake Ilmen is a stable entity over time. However, it is imperative that the lake be subjected to constant monitoring, as it is susceptible to siltation and sedimentation of its bed by river sediments.