Now, let's look at another way to visualize the elevation better using contours. A contour is an isoline along the same elevation in a dataset. Contours are usually stepped at intervals to create an intuitive way to represent elevation data, both visually and numerically, using a resource-efficient vector dataset.
The input to generate contours is our DEM and the output is a shapefile. The algorithm to generate contours is fairly complex and very difficult to implement using NumPy's linear algebra. So, our solution in this case is to fall back on the GDAL library, which has a contouring method available through the Python API. In fact, the majority of this script is just setting up the OGR library code that is needed to output a shapefile. The actual contouring is a single method call named
gdal.ContourGenerate(). Just before this call, there are comments defining the method's arguments. The most important ones are as follows:
contourInterval: It is the distance...