Mapping land use changes over time is important for understanding how our environment is evolving. Scientists have developed a method using satellite data to track these changes annually. By analyzing the probabilities of different land cover types over time, they were able to accurately detect conversions between forests, grasslands, and croplands. Their approach combines machine learning and time-series analysis to provide a detailed picture of how our landscapes are changing.