DTM WORKFLOW
How to Create a DTM from LiDAR Point Cloud
Create a clean bare-earth terrain model from LAS or LAZ data without stitching together desktop tools.
No credit card required • 50 hectares included
Upload your point cloud, classify ground automatically, then export GeoTIFF rasters for DTM, hillshade, and slope, plus DXF vectors for contours and CAD workflows.
Bare-Earth DTM
Ground surface only, with vegetation and structures removed
Terrain Derivatives
Generate hillshade, slope, and contour deliverables from the same dataset
CAD + GIS Outputs
Export GeoTIFF rasters and DXF vectors for downstream work
Browser-Based Workflow
No desktop install, no parameter tuning, no local processing pipeline
What You’ll Learn
- How to go from raw LAS or LAZ data to a finished bare-earth terrain model
- What inputs matter most before you start: CRS, point density, and terrain type
- How the DTM workflow changes between desktop software and browser-based processing
- Which QA checks catch bad ground classification before you export deliverables
- Which outputs to generate next: GeoTIFF rasters, slope maps, hillshade, contours, and elevation profiles / cross-sections
Before You Start: What You Need for a Good DTM
A reliable DTM depends more on clean inputs than on post-processing cleanup. Before you start, make sure the source data and output goal are aligned with the job
LAS or LAZ Data
Use a LiDAR point cloud that covers the full area you need to model.
Correct CRS + Vertical Datum
Coordinate and elevation references must match your GIS, CAD, and survey deliverables.
Enough Ground Visibility
Dense canopy, roofs, and clutter can hide the ground, so classification quality matters.
Clear Output Goal
Know whether you need contours, grading, drainage, topographic mapping, or cut/fill analysis.
Traditional Desktop Workflow vs Browser-Based Workflow
Here is how the two workflows compare side by side.
Traditional Desktop Tools
- Install software, manage plugins, and maintain local storage
- Tune filters manually when terrain, vegetation, or point density changes
- Build TINs or rasters separately, then export each deliverable one by one
- Move outputs between GIS, CAD, and teammates by hand
Lidarvisor Workflow
- Upload LAS or LAZ in the browser and start from a clean project workflow
- Automatic classification separates ground from vegetation, buildings, water, wires, poles, and more
- Generate DTM, hillshade, slope, contours, and related outputs from the same processed dataset
- Export ready-to-use files for GIS analysis, CAD drafting, and terrain review
Step-by-Step: How to Create a DTM from LiDAR
Five steps take you from raw point cloud to finished deliverables
Upload the point cloud
Upload your LAS or LAZ file, confirm the CRS, and make sure the dataset covers the full project area you want to model.
Classify ground points
Run automatic classification so ground points are separated from vegetation, buildings, water, wires, poles, and other above-ground objects.
Generate the DTM
Create the bare-earth terrain model from the classified ground returns, then inspect the surface before you export deliverables.
Review terrain outputs
Check hillshade, slope, and visual QA views to catch leftover artifacts before they turn into bad contours or misleading terrain analysis.
Export and reuse
Export GeoTIFF rasters for DTM, hillshade, and slope, plus DXF vectors for contours and CAD workflows. If you need terrain review beyond standard maps, use elevation profiles / cross-sections to inspect the model along specific alignments.
Quality Control Checklist for a Reliable DTM
A technically correct workflow still needs a fast visual QA pass before you trust the output.
Use the terrain outputs themselves to spot classification failures, interpolation artifacts, or edge issues before exporting final files.
- Look for leftover structures, vehicles, bridge decks, and roof fragments in the bare-earth surface
- Inspect forested zones first, because weak ground classification usually shows up there
- Check water edges and flat surfaces for interpolation noise or misclassified returns
- Review contour smoothness and slope continuity before sending files to CAD or engineering teams
OUTPUTS
What to Do with the Finished DTM
A DTM is rarely the final deliverable by itself. It usually feeds mapping, engineering, analysis, and review workflows immediately after generation.
Use the same processed point cloud to generate multiple outputs instead of treating DTM creation as a one-file endpoint.
- Export GeoTIFF rasters for DTM, hillshade, and slope analysis
- Export DXF contour vectors for topographic mapping and CAD drafting
- Review elevation profiles / cross-sections when you need to inspect terrain along roads, corridors, or drainage paths
- Reuse the classified dataset for related terrain products instead of rebuilding the workflow from scratch
Frequently Asked Questions
Can I create a DTM from an unclassified point cloud?
Yes, but the point cloud still needs a classification step first. A DTM is built from ground returns, so vegetation, buildings, vehicles, and other above-ground objects have to be removed from the surface model before you export terrain deliverables.
What point density is enough for a DTM?
It depends on the job. Broad regional terrain modeling can work with lower densities, while detailed engineering, contour drafting, and construction planning need denser source data. Match the output resolution to the actual density and quality of the point cloud.
Is DTM the same as DEM?
Not exactly. DEM is a broad category for elevation models. DTM usually means a bare-earth surface, while DSM includes buildings, vegetation, and other above-ground features. That distinction matters when you need contours, grading surfaces, or flood-model input.
Should I check hillshade before exporting contours?
Yes. Hillshade is one of the fastest ways to spot leftover artifacts before they turn into bad contour lines or misleading slope interpretation. A quick visual QA pass saves time later in CAD or GIS workflows.
What can I export after generating a DTM in Lidarvisor?
You can export GeoTIFF rasters for DTM, hillshade, and slope, plus DXF vectors for contour-based CAD workflows. Depending on the project, you can also review elevation profiles / cross-sections and generate related terrain outputs from the same processed dataset.
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