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Understanding Your Results ​

After processing, your project tree fills up with new assets β€” a classified point cloud, terrain models, vector layers, and reports. This page explains what each one is and how to work with it.

The Project Tree After Processing ​

Once processing completes, the left panel shows an expanded tree of results organized by type. Here is what you might see (depending on which options you enabled):

πŸ“ My Project
β”œβ”€β”€ πŸ“„ Original Point Cloud
β”œβ”€β”€ πŸ“„ Classified Point Cloud
β”œβ”€β”€ πŸ—ΊοΈ DTM (Digital Terrain Model)
β”œβ”€β”€ πŸ—ΊοΈ DTM Hillshade
β”œβ”€β”€ πŸ—ΊοΈ DSM (Digital Surface Model)
β”œβ”€β”€ πŸ—ΊοΈ CHM (Canopy Height Model)
β”œβ”€β”€ πŸ—ΊοΈ Slope Map
β”œβ”€β”€ πŸ—ΊοΈ TIN (Triangulated Irregular Network)
β”œβ”€β”€ πŸ“ Contour Lines (Major)
β”œβ”€β”€ πŸ“ Contour Lines (Minor)
β”œβ”€β”€ πŸ“ Elevation Grid
β”œβ”€β”€ πŸ“ Building Footprints
β”œβ”€β”€ πŸ“ Roads
β”œβ”€β”€ πŸ“ Tree Tops
β”œβ”€β”€ πŸ“ Tree Crowns
β”œβ”€β”€ πŸ“ Power Lines
β”œβ”€β”€ πŸ“ Towers
β”œβ”€β”€ πŸ“‹ Topographic Map
β”œβ”€β”€ πŸ“‹ Forest Inventory
└── πŸ“‹ Vegetation Encroachment Report

Not all of these will appear β€” only the products you selected during processing.

The Classified Point Cloud ​

This is the most important result. Every point in your original cloud has been automatically assigned a classification by Lidarvisor's AI. The classification tells you what each point represents in the real world.

Classification Classes ​

Here are the classes Lidarvisor can identify:

ClassDescriptionTypical Color
GroundThe bare earth surface β€” soil, rock, pavement at ground levelBrown
Low VegetationGrass, shrubs, and plants below approximately 0.5 metersLight green
Medium VegetationBushes and small trees between approximately 0.5 and 1.5 metersMedium green
High VegetationTrees and tall vegetation above approximately 1.5 metersDark green
BuildingRooftops and building structuresRed
WaterLakes, rivers, ponds, and other water surfacesBlue
Road SurfacePaved and unpaved road surfacesGray
RailRailway tracksGray
Wire (Power Lines)Overhead power line cables and conductorsYellow
Transmission TowerPower line towers and pylonsOrange
PoleUtility poles, light poles, sign polesLight orange
Bridge DeckBridge surfacesPink
VehicleCars, trucks, and other vehiclesPurple
Fence / WallFences, walls, and barriersTan
HedgeHedgerows and trimmed vegetation bordersGreen-yellow
Solar PanelRooftop or ground-mounted solar panelsCyan
Low Point (Noise)Erroneous points below the ground surfaceHidden by default
High NoiseErroneous points well above the actual surfaceHidden by default
UnclassifiedPoints the AI could not confidently assign to a classWhite/gray

Viewing Classification Results ​

  1. Make sure the Classified Point Cloud is checked (visible) in the project tree.
  2. Switch the visualization mode to Classification using the dropdown on the point cloud node.
  3. Expand the classified point cloud node to see individual classes.
  4. Tick or untick individual classes to isolate what you want to see.

For example:

  • Untick everything except Ground to see just the bare earth.
  • Untick Ground and vegetation to see just buildings, power lines, and man-made objects.
  • Untick noise classes (Low Point, High Noise) β€” these are usually hidden by default.

Customizing Class Colors ​

If you want different colors for any class:

  1. Click the small colored circle next to the class name in the project tree.
  2. A color picker palette appears β€” choose your preferred color.
  3. Click Reset to go back to the default color.

Your custom colors are saved and will be remembered next time you open the project.

Terrain Models (Rasters) ​

Terrain models appear as flat, image-like layers that you can overlay in the viewer. They are useful for understanding the shape of the ground and the height of vegetation.

To view a terrain model:

  1. Check its checkbox in the project tree.
  2. If multiple terrain types exist (DTM, DSM, CHM, Slope Map, TIN), use the radio buttons to select which one to display β€” only one can be shown at a time.

Each terrain model comes with a hillshade or colorized version β€” a visually enhanced image that uses simulated sunlight or color gradients to make the data easier to interpret.

Hover over the info icon next to any terrain model in the tree to see a detailed description of what it shows and how it was created.

For a detailed explanation of each terrain model type, see Terrain Models.

Vector Layers ​

Vector layers are lines, points, and polygons that represent specific features. They are overlaid on top of the point cloud in the viewer.

To view a vector layer:

  1. Check its checkbox in the project tree.
  2. The features will appear as colored shapes overlaid on your data.

You can show multiple vector layers simultaneously β€” for example, contour lines and building footprints together.

For a detailed explanation of each vector type, see Vectorization.

Reports ​

Reports appear at the bottom of the project tree. They are downloadable documents (PDF, CSV, DXF) that package your results into professional deliverables.

Reports cannot be "viewed" in the 3D viewer β€” they are meant to be downloaded and opened in the appropriate application (PDF viewer, spreadsheet program, or CAD software).

For a detailed explanation of each report type, see Reports.

Comparing Before and After ​

A useful workflow after processing is to compare your original data with the classified results:

  1. Toggle between original and classified point clouds β€” untick one and tick the other to see the difference.
  2. Switch visualization modes β€” go from RGB (original colors) to Classification (AI-assigned labels) and back.
  3. Overlay terrain models on the point cloud β€” tick a DTM or CHM layer to see the terrain surface alongside the points.
  4. Add background satellite imagery β€” click the Background Map button to compare your data with satellite photos.

What If Results Look Wrong? ​

The AI classification is typically 95%+ accurate for common classes (ground, buildings, vegetation), but no automated system is perfect. Common issues include:

IssueWhat to Do
Some ground points classified as vegetationUse the Classification Editing tools to manually correct them
Building edges misclassifiedNormal for complex roof shapes β€” can be corrected manually
Some classes are emptyYour data may not contain those features (e.g., no power lines in a forest survey)
Noise points visibleUntick "Low Point" and "High Noise" classes to hide them
Terrain model has holesOccurs in areas with very sparse ground points β€” try a coarser resolution

Next Step ​

For a deeper understanding of each output product, continue to:

  • Terrain Models β€” DTM, DSM, CHM, Slope, TIN in detail
  • Vectorization β€” Contours, buildings, trees, power lines in detail
  • Reports β€” Professional reports and documents

Or, to learn about the interactive tools, skip to Measurement Tools.

Lidarvisor β€” Process LiDAR in Minutes, Not Hours