The article presents a method to measure and quantify terrain information for specific points on a map using digital elevation models (DEMs). By combining terrain syntactic and semantic information, the researchers developed a model to assess the significance of each point in representing the true terrain surface. They applied this model to a study area and found that selecting critical points based on their terrain information values can improve digital terrain modeling at different scales. The results show that this approach is effective in reducing terrain distortion and can help in creating more accurate DEMs for various applications.