ABSTRACT
This chapter proposes a method for quantitative analysis of topographic relief in small areas as in the case of Mount Tai, extending Density-Based Spatial Clustering of Applications with Noise (DBSCAN) thought to the line data, and introducing the Minimum Bounding Rectangle technique to build moving windows. It is based on ArcGIS platform, with the 30 meters resolution DEM image data of Taishan District. The chapter describes the relationship between Relief Amplitude and the spatial distribution of contour frequency by using the technology combination of Similar Thought of DBSCAN and moving windows. It presents a method which is: divide the contour; and then aggregating the contour to realize the quantitative grades of the relief. The chapter utilizes the example of the Taishan District to propose a new algorithm based on DEM combined with the moving window technique, using a new algorithm proposed for the quantitative classification of the topographic relief degree by using the clustering algorithm of DBSCAN clustering algorithm.
