The article explores how causality can be studied in Remote Sensing using patch-based images and a Structural Equation Model. By representing images with a single variable like entropy, researchers can analyze cause-effect relationships among different variables. The model used in the study, known as SEM, helps to understand how variables in the images are related in a causal way. This approach provides insights into the dynamic surface of our planet beyond just data dependencies.