3. Preparing Ground Truth Data

Before we can train any classification model or even begin segmenting the landscape, we need a solid foundation of ground truth data. In this chapter, we bring together the essential reference layers that will anchor the entire workflow: the study area boundary, the reference points, and a high‑resolution Google Satellite backdrop to support visual interpretation.

These layers form the spatial context in which we will later delineate reference polygons using AI segmentation. B

You will learn how to:

  • Load and inspect the reference vector data
  • Add the study area boundary to constrain the analysis
  • Bring in a Google Satellite basemap to support interpretation
  • Add labels to the ground truth points for easier navigation

In the next chapter, we will use this setup to delineate reference polygons, which will later be split into training and test areas for the classification.