DTM vs DSM: What’s the difference and when should you use each?
Written by
Brooke Hahn
Last updated:
May 26, 2025
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When you're working with drone data or remote sensing outputs, you’ll often come across terms like DSM, DTM, and DEM. They all refer to elevation models, but they’re not all the same.
Let’s clear it up:
DEM (Digital Elevation Model) is often used as a general term for any elevation dataset that models the Earth's surface in 3D.
DSM (Digital Surface Model) is a type of DEM that includes all visible surface features, like buildings, trees, and terrain.
DTM (Digital Terrain Model) is another type of DEM, but one that shows only the bare-earth ground surface, with all features removed.
So, DSMs and DTMs are both specific types of DEMs, and the one you use depends on the job you’re trying to do.
What’s the difference between a DSM and a DTM?
A digital surface model (DSM) captures the elevation of everything on the Earth's surface, including buildings, trees, and terrain. A digital terrain model (DTM) shows only the ground surface, with all above-ground features removed. Both are types of digital elevation models (DEMs), but each serves a different purpose depending on whether you want to analyze surface features or the underlying terrain.
DSM: For capturing surface features
A DSM output
A DSM includes all the visible features in the landscape. It represents the elevation of the first thing the sensor hits—like treetops, rooftops, and power lines. This makes it useful for:
Visualizing how a site looks in reality, especially for presentations or stakeholder review
Assessing tree canopy heights or building elevations
Performing line-of-sight analysis, shadow modeling, or solar planning
Urban planning tasks where the interaction between natural and built features matters
If you want to capture how a site appears from above—including man-made structures and vegetation—start with a DSM.
DTM: For understanding the ground
A DTM output
A DTM strips away all surface features and shows just the underlying terrain. It's your go-to when the shape of the earth matters most. Use a DTM when you need to:
Model water flow, drainage, or flood risk
Perform slope analysis for grading, stability, or construction planning
Conduct cut-and-fill or volumetric calculations
Understand terrain movement or erosion in mining and infrastructure projects
Because DTMs give you a clean representation of the ground, they’re especially important in environmental and engineering contexts where accuracy is key.
Why using the right model matters
Using a DSM instead of a DTM, or vice versa, can lead to the wrong conclusions. For example:
If you're modeling water runoff using a DSM, the trees and buildings will block natural flow paths, distorting the analysis
If you're trying to calculate tree height using a DTM alone, you’ll miss the key part: the elevation of the tree canopy
In many cases, using both together is ideal. Subtracting the DTM from the DSM gives you the height of surface features—helpful for estimating tree or building height.
Can you generate both from drone data?
Yes. Most modern geospatial platforms, including Birdi, allow you to generate both DTMs and DSMs from a single drone capture. That means you can choose the best output for your workflow, or combine them for deeper insights.
Use a DSM to assess vegetation encroachment or roofline views
You can also visualize them side-by-side, layer them with basemaps, and export them for further analysis.
Which one should you use?
If your focus is on the natural shape of the land, use a DTM. If you need to see the full surface environment, including vegetation and structures, go with a DSM.
Still unsure? Ask yourself:
Are you measuring terrain or surface features?
Do you need accuracy for modeling or clarity for communication?
Will this data be used by technical teams, or shared more broadly?
If you’re ever in doubt, starting with both can give you flexibility and a clearer picture of the site.
Want to see how DTMs and DSMs could fit into your workflow?
Book a quick demo and we’ll walk you through how Birdi makes it easy to work with both.
Brooke Hahn
Brooke has been involved in SaaS startups for the past 10 years. From marketing to leadership to customer success, she has worked across the breadth of teams and been pivotal in every company's strategy and success.