Prepare accurate inputs for volume, tonnage, and recurring material tracking
What stockpile inventory software needs from LiDAR processing
Stockpile measurement workflows often rely on more than raw point clouds alone. Clean terrain and surface data make recurring volume comparisons and reporting easier to support across survey dates.
Before your team can estimate pile volume or combine it with density assumptions for tonnage, it usually needs:
- Bare-earth terrain models to define the stockpile base
- Surface models that preserve pile geometry
- Classification to separate ground from vegetation and temporary objects
- Exports such as GeoTIFF, LAS, SHP, DXF, or GeoJSON for downstream workflows
Lidarvisor fits this front half of the job. It prepares LiDAR outputs that downstream stockpile, GIS, CAD, and reporting workflows can use.
A quarry DTM generated from classified LiDAR data. Clean terrain is the basis for repeatable stockpile volume workflows.
Built for recurring material tracking workflows
Lidarvisor supports the processing stage ahead of recurring stockpile checks across operations that depend on clean terrain and surface outputs.
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Mining and aggregates
Support recurring pile surveys, monthly reconciliation, and operational reporting with cleaner terrain and surface outputs.
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Construction earthworks
Track borrow pits, staging yards, and grading changes when site conditions shift between survey dates.
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Bulk-material storage
Prepare repeatable elevation surfaces for sand, gravel, compost, grain, salt, and other stockpiled materials.
PROCESSING FIT
Why teams use Lidarvisor before stockpile calculations
Evaluate how easily you can get from raw LiDAR to usable terrain and surface outputs.
Lidarvisor helps by making that preparation step simpler. It does not replace mine-planning, ERP, or stockpile accounting systems. It gives those systems cleaner LiDAR-derived inputs to work with.
✦Automatic classification helps separate usable ground and surface data from surrounding clutter.
✦Cloud-based processing means no desktop installation is required before you start.
✦DTM, DSM, contours, and standard exports make handoff easier for CAD, GIS, and reporting workflows.
✦Repeatable outputs support recurring inventory checks on new survey data.
Classified point cloud data makes it easier to separate pile surfaces from surrounding site features before calculating volumes.
A practical LiDAR workflow for stockpile inventory
This workflow keeps the processing stage efficient while leaving final inventory calculations in the tools built for them.
- Capture aerial LiDAR over the yard, quarry, or site.
- Process and classify the dataset to isolate ground and clean up non-stockpile features where needed.
- Generate DTM and DSM outputs for base and top surfaces.
- Export deliverables in formats your team already supports.
- Calculate volume and tonnage downstream inside the operational system your team uses for reporting.
Learn more about LiDAR classification and how it supports cleaner stockpile surfaces.
Where Lidarvisor fits
Lidarvisor prepares the terrain, surface, and export outputs that downstream stockpile measurement, GIS, and reporting workflows can use.
Want cleaner inputs for stockpile volume calculations?
Test Lidarvisor on a real aerial LiDAR dataset and see how quickly you can move from raw data to usable terrain and surface outputs.
Frequently Asked Questions
Lidarvisor focuses on LiDAR processing outputs such as classification, DTM, DSM, contours, and exports. Tonnage calculations typically happen downstream after volume is combined with material-density assumptions.
Yes. The same processed surfaces used for stockpile measurement can also support cut/fill analysis or survey-date comparisons in downstream workflows.
No. Lidarvisor prepares the LiDAR outputs that stockpile inventory, mine-planning, GIS, and reporting workflows can use downstream.
Mining, aggregates, construction, waste management, and other bulk-material operations use these workflows to track material quantities over time.