A developer creates a custom terrain usability metric by processing USGS elevation data using Python and OpenCV. The approach involves calculating the Laplacian (second-order derivative) of elevation data to identify steep terrain, then using a sliding window to generate average steepness values for different areas. The solution effectively becomes a complex downsampling method to classify land as buildable or too steep based on topographic line density.