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NV5 Geospatial Blog

Each month, NV5 Geospatial posts new blog content across a variety of categories. Browse our latest posts below to learn about important geospatial information or use the search bar to find a specific topic or author. Stay informed of the latest blog posts, events, and technologies by joining our email list!



Comparing Amplitude and Coherence Time Series With ICEYE US GTR Data and ENVI SARscape

Comparing Amplitude and Coherence Time Series With ICEYE US GTR Data and ENVI SARscape

12/3/2025

Large commercial SAR satellite constellations have opened a new era for persistent Earth monitoring, giving analysts the ability to move beyond simple two-image comparisons into robust time series analysis. By acquiring SAR data with near-identical geometry every 24 hours, Ground Track Repeat (GTR) missions minimize geometric decorrelation,... Read More >

Empowering D&I Analysts to Maximize the Value of SAR

Empowering D&I Analysts to Maximize the Value of SAR

12/1/2025

Defense and intelligence (D&I) analysts rely on high-resolution imagery with frequent revisit times to effectively monitor operational areas. While optical imagery is valuable, it faces limitations from cloud cover, smoke, and in some cases, infrequent revisit times. These challenges can hinder timely and accurate data collection and... Read More >

Easily Share Workflows With the Analytics Repository

Easily Share Workflows With the Analytics Repository

10/27/2025

With the recent release of ENVI® 6.2 and the Analytics Repository, it’s now easier than ever to create and share image processing workflows across your organization. With that in mind, we wrote this blog to: Introduce the Analytics Repository Describe how you can use ENVI’s interactive workflows to... Read More >

Deploy, Share, Repeat: AI Meets the Analytics Repository

Deploy, Share, Repeat: AI Meets the Analytics Repository

10/13/2025

The upcoming release of ENVI® Deep Learning 4.0 makes it easier than ever to import, deploy, and share AI models, including industry-standard ONNX models, using the integrated Analytics Repository. Whether you're building deep learning models in PyTorch, TensorFlow, or using ENVI’s native model creation tools, ENVI... Read More >

Blazing a trail: SaraniaSat-led Team Shapes the Future of Space-Based Analytics

Blazing a trail: SaraniaSat-led Team Shapes the Future of Space-Based Analytics

10/13/2025

On July 24, 2025, a unique international partnership of SaraniaSat, NV5 Geospatial Software, BruhnBruhn Innovation (BBI), Netnod, and Hewlett Packard Enterprise (HPE) achieved something unprecedented: a true demonstration of cloud-native computing onboard the International Space Station (ISS) (Fig. 1). Figure 1. Hewlett... Read More >

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DEM versus DTM versus DSM

Anonym

There are a few terms that I find to be especially confusing to the community of people who use our geospatial software. I thought it might be useful to clarify how I and others at NV5 use some of those terms.  In this post, I’ll cover DEMs, DTMs, and DSMs. Read this post about the terms georeference, geolocate, and georectify.

The terms DEM (Digital Elevation Model), DTM (Digital Terrain Model) and DSM (Digital Surface Model) are all usually used to refer to various types of continuous, three-dimensional geospatial data. There is a fair amount of confusion in the literature, however, about which term refers to which types of data. If you want to get really confused about these terms, there is a great Wikipedia article that goes into confusing detail about this terminology confusion.

In the world of ENVI, we really only use the term DEM. A DEM in ENVI is understood to be an image (raster) in which the pixel values represent the ground elevation above sea level. If there are buildings, trees or other features on the ground in the area of a given DEM, those features are assumed to not be included in the elevation values included in the DEM.

In E3De, our new LiDAR visualization and analysis software environment, the documentation includes all three terms. A DEM in E3De is understood to be an image (raster) or a set of vector contours, in which the values (pixel values or contour levels) represent the ground elevation above sea level. A DSM in E3De is understood to be an image (raster) in which the pixel values represent the elevations above sea level of the ground and all features on it. So, if there are buildings or trees in the area, for example, the DSM can include those building and tree heights in the elevation values it provides. E3De does not create any datasets that it refers to as DTMs, but the documentation for E3De does refer to DTMs in a couple of places. Where it does, it means a raster DEM. In other words, to E3De, a DTM is an image (raster) in which the pixel values represent the ground elevation above sea level.

A DEM of the area around Boulder, Colorado.
A DEM provided by the USGS for the area around Boulder, Colorado.

I hope this clears up confusion around these terms, at least regarding how they are used in the world of NV5. How do you use the terms DTM, DSM, and DEM?

2 comments on article "DEM versus DTM versus DSM"

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James Simard

Does Harris Geospatial provide training on how to convert a DSM to a DTM (bare-earth elevation)? If so we would be interested in speaking with you further.


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Peg Shippert

We do not currently have a training prepared for this topic. If you have a current ENVI license, you may want to contact Harris Geospatial tech support at (303) 413-3920 or support@harris.com to discuss the data you have available, and strategies for converting your DSM data to DTM.

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