In this video, we're diving into Random Forest Supervised Classification in ArcGIS Pro. But first, what is Random Forest classification? Imagine you have a dataset with various features and you want to classify each data point into different categories. Random Forest is like a super-smart crowd voting system where each member of the crowd (tree) gets to vote on where a point should be classified. In ArcGIS Pro, Random Forest takes this concept and uses it to classify remote sensing data, like satellite imagery, into different land cover types. In our tutorial, we'll walk you through the process step by step, from preparing your data to interpreting the results, helping you harness the power of Random Forest for your GIS projects. We'll also compare the results of Random Forest classification with Maximum Likelihood classification, and we found that Random Forest classification results better discriminate the output results. Let's get started!