As the climate continues to change, the ability to automatically map bodies of water and predict their future variations is certainly very important, both to ensure that people are able to prevent and detect certain extreme weather events, such as floods and droughts, and to aid urban, agricultural and industrial planning around large lakes or waterways. Since the launch of the first satellites, images from orbit have been used to detect and monitor our planet's water masses, such as oceans and lakes. Over the years, increasingly accurate methods have replaced human work, and in recent years, deep learning algorithms such as Convolutional Neural Networks (CNNs) and Visual Transformers (ViTs) have achieved near-perfect performance in this task.