Digital elevation model
3D computer graphics representation of elevation data for terrain.
A digital elevation model (DEM) is a 3D computer representation of elevation data, used to depict terrain or objects on top of it, such as on a planet, moon, or asteroid. When covering the entire globe, it is called a global DEM and is built on a discrete global grid. These models are a key tool in geographic information systems (GIS) and form the basis for most digital relief maps.
There are two related terms: digital surface model (DSM) and digital terrain model (DTM). A DSM includes all surface features like tree canopies and building roofs, while a DTM shows only the bare ground. The term DEM is often used broadly to cover both DSMs and DTMs, though usage varies in scientific literature. Some sources treat DEM and DTM as synonyms, others as distinct, and many data providers (such as USGS) use DEM as a catch-all. For instance, datasets like SRTM are originally DSMs, but in forests they record readings between a DSM and a DTM. DTMs are typically derived from high-resolution DSMs by filtering out objects like buildings—a process called bare-earth extraction.
DEMs come in two main types: raster grids (also called heightmaps) and vector-based triangular irregular networks (TINs). A TIN is considered a primary, measured DEM, while a raster is a secondary, computed one. They are created using techniques such as photogrammetry, lidar, InSAR, land surveying, or remote sensing.
The data itself is a matrix of numbers, but it is usually visualized to be understood. Common visualizations include contoured topographic maps, false-color maps (e.g., green for low elevations, red for high), and oblique views that simulate looking at the terrain from an angle. In oblique views, vertical exaggeration is sometimes used to highlight subtle differences, though some scientists argue this can mislead viewers.
Production often relies on remote sensing rather than direct survey. Older methods interpolate digital contour maps from ground surveys, a technique still used in mountainous areas where interferometry is less effective. Note that contour lines or sampled elevation points are not DEMs, though they may be considered DTMs; a DEM provides continuous elevation across an area.
Satellite mapping is a powerful method. Interferometric synthetic aperture radar (InSAR) uses two passes of a radar satellite (or a single pass with two antennas, as in SRTM) to generate elevation maps tens of kilometers wide with about ten-meter resolution. Stereoscopic pairs from optical images, using digital image correlation, also work. The SPOT 1 satellite provided the first large-scale usable elevation data via two-pass stereoscopic correlation, followed by ERS, SRTM, and ASTER. SPOT 5’s HRS instrument has acquired over 100 million square kilometers of stereo pairs.
In planetary science, orbital altimetry—both laser and radar—is used to create digital elevation maps of other worlds. Examples include the Mars Orbiter Laser Altimeter (MOLA) for Mars, and the Lunar Orbital Laser Altimeter (LOLA) and Lunar Altimeter (LALT) for the Moon.
- field
- Geographic information systems, remote sensing, planetary science
- known_for
- 3D representation of elevation data for terrain and overlaying objects
- types
- Raster (grid) and vector-based triangular irregular network (TIN)
- acquisition_methods
- Photogrammetry, lidar, IfSAR, InSAR, land surveying
- common_uses
- Relief maps, flood modeling, 3D visualizations, satellite navigation, archaeology
Lore & Background
The term digital elevation model (DEM) is often used as a generic term for DSMs and DTMs, though there is no universal usage in scientific literature. Some sources equalize DEM and DTM, others equalize DEM and DSM, and some define DEM as a subset of DTM. Most data providers (USGS, ERSDAC, CGIAR, Spot Image) use DEM as a generic term. Datasets such as SRTM or ASTER GDEM are originally DSMs, though in forested areas SRTM reaches into the tree canopy, giving readings between a DSM and a DTM. DTMs are created from high-resolution DSM datasets using complex algorithms to filter out buildings and other objects, a process known as 'bare-earth extraction'.
Reader's Guide
Digital elevation models are foundational tools in geographic information systems and planetary science. They enable extraction of terrain parameters for geomorphology, modeling water flow for hydrology, creation of relief maps, and rendering of 3D visualizations. DEMs are also used in engineering design, satellite navigation, line-of-sight analysis, flight simulation, precision farming, and archaeology. The quality of a DEM depends on terrain roughness, sampling density, grid resolution, interpolation algorithm, and vertical resolution. Planetary mapping uses orbital altimetry—laser or radar—to create digital elevation maps of Mars, the Moon, Mercury, and other bodies.
Did You Know?
- A DEM can be represented as a raster (grid of squares) or as a vector-based triangular irregular network (TIN).
- Planetary digital elevation maps have been made using laser altimetry for Mars (MOLA), the Moon (LOLA, LALT), and Mercury (MLA).
Frequently Asked Questions
Who is Digital elevation model?
A digital elevation model is a three-dimensional computer-generated depiction of surface heights for a planet, moon, or asteroid. It functions as the core spatial data layer in geographic information systems and remote-sensing workflows.
What are Digital elevation model's powers/role?
It encodes terrain elevations and, depending on the variant (DEM vs. DSM), also captures overlaying features such as treetops and rooftops. That structured data drives relief maps, flood simulations, 3D visualizations, satellite navigation, and archaeological site analysis.
How does Digital elevation model's story end?
Because it is a living technology rather than a finite narrative, its 'ending' is an ongoing push toward finer global grids. Newer acquisition methods like lidar, photogrammetry, and interferometric SAR keep raising resolution and coverage year after year.
Why is Digital elevation model important?
It is the single most common foundation for digitally produced relief maps and the backbone of virtually every 3D terrain visualization in GIS, planetary science, and civil engineering. Without it, modern flood modeling, satellite navigation, and archaeological surveying would lack their essential spatial reference.
What are Digital elevation model's origins and how is it acquired?
Elevation measurements are gathered through photogrammetry, lidar scanning, IfSAR/InSAR, and traditional land surveying. Those raw numbers are then organized into either a raster grid or a vector-based triangular irregular network (TIN).
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