When we talk about terrain models, the terms Digital Elevation Model (DEM), Digital Terrain Model (DTM), and Digital Surface Model (DSM) are usually mentioned. These models play a vital role in geographic information systems (GIS), not only helping us understand the height of the terrain, but also providing important data for use in areas such as environmental planning, disaster management, and urban planning.
A digital surface model (DSM) covers all objects on the earth's surface, such as trees and buildings, while a digital terrain model (DTM) focuses on the ground surface and does not contain any objects.
This creates a fundamental difference between the two. While DSM is useful in urban modeling and landscape visualization, DTM is even more useful in flood or drainage modeling, land use studies, and geological applications. Therefore, it is crucial to understand these different models and their applications.
In the scientific literature, the terms digital elevation model (DEM), digital terrain model (DTM), and digital surface model (DSM) are not used uniformly. In most cases, digital surface models are considered to represent the Earth's surface and all the objects on it. In contrast, digital terrain models focus on exposed ground surfaces.
In digital models, DEM is often used as a general term to represent DSM and DTM, which only provides height information without further defining the surface.
Various data providers, such as the United States Geological Survey (USGS) and other institutions, often refer to DEM as the collective name for DSM and DTM. However, some data sets, such as those obtained from SRTM or ASTER GDEM, are originally DSM, especially in forested areas, and the results tend to be between DSM and DTM.
Digital elevation models can be represented in raster form, such as a pixel grid, or as a vector basis triangular irregular network (TIN). The sources of these two models can be obtained through various technologies, such as aerial photogrammetry, Lidar, etc.
Through the data obtained through these technologies, digital terrain models can be presented in a visual way to help people understand and apply the data more easily.
The visualization of digital models is usually made into a contour topographic map, or the height is presented using shading and pseudo-color. For example, the lowest height is represented by green, which gradually fades to red, and the highest height is represented by white. Such a visualization method can provide more terrain details during observation, but it has also raised questions from experts. For example, "vertical exaggeration" may cause the audience to misunderstand the real terrain conditions.
The production of digital elevation models usually relies on remote sensing technology rather than direct measurement data, and older generation methods often involve the interpolation of digital contour maps. This method is particularly useful in mountainous areas, where the accuracy of interferometry may be limited.
When generating a DEM, it is necessary to ensure that the height information in all study areas is continuously available, which is called a digital elevation model.
In the field of earth science, digital models are used for many functions, including watershed analysis, soil moisture modeling, and even the construction of 3D physical models.
Digital elevation models have a wide range of applications, helping to extract terrain parameters, simulate water flow, create 3D visualizations, etc. Today, as global information technology continues to advance, the demand for DAT and DSM is also increasing. In the future, whether these models can further achieve higher accuracy and newer application methods will become a major challenge for geographic information technology.
Ultimately, we should think about, in the face of future digital terrain model development, can we better use this data to solve environmental and social challenges?