Identifying changes on the Earth's surface is one of the most fundamental aspects of Earth observation from satellite images. Historically, the predominant form of analysis has measured change at a pixel level. Here, we present a new strategy that conducts the analysis based on objects. The objects are placed inside a random forest regressor. We have tested our approach in Queensland, Australia using Sentinel data. We find that the use of object-based approach either outperforms or is comparable to alternative approaches.