DTM, CHM, classification, tree crowns, and GIS-ready forestry deliverables
If you already have airborne LiDAR or drone LiDAR and need terrain, canopy, and inventory-ready deliverables, Lidarvisor is built for that processing stage. Upload the dataset, review it in the browser, and generate forestry outputs without forcing every stakeholder into a heavy local workflow.
Evaluating tools for forestry LiDAR? See Lidarvisor forestry workflows or review pricing and plan options.
The bottleneck is rarely capture — it is output prep
Raw LiDAR inputs
Point clouds on their own do not answer the questions most forestry teams are actually asking. Access planning still needs bare-earth terrain. Canopy review still needs height context. Inventory workflows still need extracted features and structured outputs that can be reused elsewhere.
Forestry-ready outputs
The useful layer is what comes next: classified points, DTM and DSM surfaces, canopy height products, tree crowns, tree tops, and exports that GIS, CAD, and reporting teams can open without a separate cleanup pass.
Forest mapping software by deliverable
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Terrain models
DTM, hillshade, and slope outputs for roads, drainage, access, and site planning.
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Canopy products
DSM, CHM, and vegetation layers that reveal height, cover, and forest structure.
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Inventory support
Tree crowns, tree tops, and structured outputs that can feed inventory workflows downstream.
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Corridor vegetation review
Forest-corridor outputs that help utility and planning teams inspect vegetation context faster.
What forestry teams should expect from the software
- Ground classification that separates terrain from vegetation before analysis starts
- DTM, hillshade, and slope outputs for access, grading, and terrain review
- DSM and CHM products for canopy height and stand-structure interpretation
- Tree crown and tree top extraction for inventory and mapping support
- Exports such as GeoTIFF, SHP, GeoJSON, DXF, and LAS/LAZ for downstream GIS and CAD teams
- Browser-based review so planners, surveyors, and forestry stakeholders can inspect results more easily
CANOPY + STRUCTURE
Use CHM and derived surfaces to read the forest faster
Canopy products help forestry teams move from visual inspection to measurable structure and height context.
A canopy height model is often one of the fastest ways to understand how vegetation varies across a tract or corridor. Combined with classified vegetation and terrain layers, it gives planners, analysts, and inventory teams a clearer view of height patterns before they commit to deeper downstream work.
✦ Compare canopy height across larger forestry extents or corridors
✦ Pair vegetation structure with terrain context instead of reviewing each layer in isolation
✦ Build cleaner inputs for stand review, planning, and inventory support workflows
CLASSIFICATION + HANDOFF
Move from raw points to inventory-ready outputs
Useful forest mapping software should shorten the path between classification and export, not create another translation step.
Lidarvisor fits the processing layer of the stack. It is not trying to replace every inventory database, field app, or full desktop GIS. Its role is to turn raw LiDAR into terrain, vegetation, and vector outputs that forestry, survey, and planning teams can reuse in their own systems.
✦ Extract tree crowns and tree tops for mapping and inventory support
✦ Generate DTM, DSM, hillshade, and slope for terrain-aware review
✦ Export GeoTIFF, SHP, GeoJSON, DXF, and LAS/LAZ for downstream teams
✦ Review and share results in a browser-based workflow without requiring every stakeholder to install desktop software
01
Upload and classify
Start with the raw point cloud, then separate ground and vegetation so the rest of the workflow is built on cleaner inputs rather than manual cleanup later.
02
Generate terrain and canopy layers
Create the DTM, DSM, CHM, hillshade, slope, and vegetation context that forestry and planning teams actually use to interpret the site.
03
Export for downstream teams
Hand off crown vectors, tree tops, terrain rasters, or classified files in formats that GIS, CAD, and reporting teams can take forward with less rework.
Frequently Asked Questions
For many forestry workflows, the useful outputs are not the raw points alone but terrain, canopy, and vector deliverables derived from them. That usually means classified points, DTM and DSM layers, canopy height products, tree crowns, tree tops, and export-ready files for downstream teams.
Because access, grading, drainage, and site-planning questions do not disappear just because the area is vegetated. Bare-earth terrain products such as DTM, hillshade, and slope help teams separate the shape of the ground from the height of the canopy above it.
LiDAR adds the most value when forestry teams need repeatable extraction based on structure and elevation, not just visual interpretation. CHM, vegetation classification, tree crowns, and tree tops can provide better starting layers for stand review, canopy analysis, and inventory support workflows.
Not always for every task, but it can remove a lot of friction. Browser-based review makes it easier for planners, managers, GIS staff, and outside collaborators to inspect outputs without requiring a full desktop setup for every person who needs to see the result.
Lidarvisor fits the LiDAR processing layer. It helps turn raw point clouds into terrain, vegetation, and vector outputs that can move into GIS, CAD, reporting, or inventory systems, rather than trying to replace every downstream forestry application itself.
Bottom line
The best forest mapping software is usually the tool that helps your team move cleanly from raw LiDAR to terrain, canopy, and inventory-ready outputs. If the bottleneck in your workflow starts after capture, that processing layer is the part worth simplifying first.