Digital Terrain Model (DTM) and Terrain Analysis

Guidance: DEM and DTM are mainly used to describe the ground undulations,which can be used to extract various terrain parameters such as slope, aspect, roughness, etc., and perform application analysis such as line-of-sight analysis and watershed structure generation. Therefore, DEM is widely used in various fields.

DEM can be expressed in a variety of ways, including grid, contour, triangle network, etc., this chapter also introduces the conversion algorithm between these expressions, such as generating contour from triangle network, generating triangle network from grid DEM,etc.

  • The Digital Terrain Model (DTM) was originally proposed for the automatic design of highways (Miller, 1956). Since the...
    2023-08-23 01:42:50 UTC
  • In GIS, the three main representation models of DEM are regular grid model, contour model and irregular triangular net...
    2023-08-23 01:42:50 UTC
  • In practice, DEM models can be converted to each other. Most DEM data are regular grid DEM, but it is not easy to stor...
    2023-08-23 01:42:50 UTC
  • In order to establish DEM, it is necessary to measure the three-dimensional coordinates of some points, which is DEM d...
    2023-08-23 01:42:50 UTC
  • Application of Grid DEM # Fitting of topographic surface # ...
    2023-08-23 01:42:50 UTC

Principles, Technologies, and Methods of Geographic Information Systems  102

In recent years, Geographic Information Systems (GIS) have undergone rapid development in both theoretical and practical dimensions. GIS has been widely applied for modeling and decision-making support across various fields such as urban management, regional planning, and environmental remediation, establishing geographic information as a vital component of the information era. The introduction of the “Digital Earth” concept has further accelerated the advancement of GIS, which serves as its technical foundation. Concurrently, scholars have been dedicated to theoretical research in areas like spatial cognition, spatial data uncertainty, and the formalization of spatial relationships. This reflects the dual nature of GIS as both an applied technology and an academic discipline, with the two aspects forming a mutually reinforcing cycle of progress.