LiDAR in Mining: From Exploration to Volume Computation and Mine Planning

Mining projects depend heavily on understanding how a site changes over time.

Before operations begin, project teams need accurate information about the existing terrain. As development progresses, roads are created, pits are excavated, stockpiles grow and shrink, waste materials are moved, and the physical landscape continually changes.

This creates an ongoing surveying requirement.

For mining companies, the question is therefore not simply “What does the site look like today?” It is also: “How has it changed, how much material has moved, and what information do we need for the next stage of planning?”

This is where LiDAR can become particularly valuable.

By collecting dense three-dimensional measurements across large areas, LiDAR can provide mining companies with detailed terrain information that can be used from early-stage site investigation and planning to operational monitoring, volume computation, and eventually rehabilitation.

More importantly, the resulting point cloud and terrain models can be brought into compatible mining, GIS, CAD, and engineering software, allowing survey data to become part of the broader digital workflow of a mining project.

Before Mining Begins: Understanding the Existing Terrain

During the early stages of a mining project, there may already be geological and exploration information available about what potentially lies beneath the ground.

But developers also need to understand the physical environment above it. Is the area mountainous? How steep are the slopes? Where are the existing roads and access points? How does water naturally move across the terrain? Which portions are heavily vegetated? What physical constraints surround the areas being investigated?

Accurate topographic information provides an important spatial reference for answering these questions.

For large exploration areas, Aerial Topographic LiDAR can collect detailed elevation information across hundreds or thousands of hectares without requiring survey crews to physically traverse every portion of the site. This can be particularly useful in mountainous, remote, or heavily vegetated mining areas.

LiDAR does not identify the mineral deposit itself and should not be confused with geological or geophysical exploration methods. Instead, it provides an accurate representation of the surface environment surrounding the area being explored.

From the collected point cloud, surveyors can generate a Digital Terrain Model (DTM), Digital Surface Model (DSM), contours, classified point cloud, and other mapping products that can provide base information for exploration planning, access assessment, drainage and watershed analysis, infrastructure planning, and subsequent engineering work.

Why LiDAR Matters in Heavily Vegetated Mining Areas

One of LiDAR's most useful characteristics for mining applications is its ability to collect ground measurements through openings in vegetation. This is especially relevant in the Philippines, where potential mining areas may contain dense vegetation and rugged terrain.

A conventional aerial image can provide an excellent visual representation of the surface, but where dense vegetation is present, what is visible in the image may primarily be the canopy rather than the actual ground.

LiDAR sends laser pulses toward the surface, and some of these measurements can reach openings between leaves and branches and return from the terrain below. Through appropriate classification and processing, these ground returns can be separated from vegetation to develop a DTM representing the underlying terrain.

For exploration and mine planning, this can provide project teams with a clearer understanding of slopes, ridges, depressions, drainage paths, and other terrain features that may otherwise be difficult to map comprehensively.

However, not every LiDAR system will produce the same result. Point density, multiple-return capability, sensor performance, flight planning, positioning and inertial measurement systems, and processing quality can all influence how effectively the ground is represented, particularly in difficult and heavily vegetated environments.

From Exploration to Mine Planning

As a mining project moves beyond early exploration, the required geospatial information becomes increasingly detailed.

Mine planners and engineers need to understand how the proposed development relates to the existing terrain. Roads, access routes, pits, waste areas, stockpiles, drainage infrastructure, processing facilities, and other components all need to interact with the physical site.

LiDAR-derived terrain information can provide a detailed three-dimensional base for these planning activities.

The value is not that LiDAR makes the mining or geological decisions itself. Instead, it provides a reliable representation of the physical environment that engineers, geologists, and mine planners can incorporate into their own specialized analyses and software.

This is also where delivering survey information in widely used formats becomes important.

From the Surveyor to the Mining Software

A LiDAR survey does not have to end as a printed topographic map. One of its most valuable outputs is the point cloud, which can be delivered in standard formats such as LAS for use in compatible downstream software.

This allows mining companies to work with the survey information within their existing digital workflows rather than treating the survey as a separate, static document.

For example, mining teams using GEOVIA Surpac can work with point-cloud information as part of broader geological and mine-planning workflows. Depending on the software and workflow, point-cloud and surface data can be used for visualization, surface modelling, structural analysis, mine design, and volumetric calculations.

The important point for mining companies is not necessarily which software they use. It is that survey data should be delivered in a form that can continue to be useful after the survey itself is completed.

Before commissioning a LiDAR survey, mining companies should therefore discuss their intended downstream applications and required file formats with both their survey provider and software team. This helps ensure that the point cloud, terrain models, coordinate system, and other deliverables are appropriate for the software and analysis that will follow.

Volume Computation: How Much Material Is Actually There?

One of the most practical applications of surveying in mining is volume computation.

Mining operations continuously move material.

Stockpiles are created and depleted. Excavated areas become larger. Waste material is transferred. Fill is placed. The terrain at an active site may look significantly different from one survey period to the next.

To manage these changes, operators need reliable measurements of the surfaces being monitored.

LiDAR can capture dense three-dimensional measurements of stockpiles and other terrain features. From these measurements, surface models can be created and used to calculate volumes based on the appropriate reference or comparison surface.

This can support applications such as stockpile volume computation, cut-and-fill analysis, excavation monitoring, and comparisons between survey periods.

Instead of relying solely on selected measurements across a stockpile, a LiDAR point cloud provides dense coverage of the visible surface. For large sites containing multiple stockpiles or extensive areas requiring measurement, this can make LiDAR particularly useful.

Volume Is More Useful When You Can Compare It Over Time

A single volume measurement tells you the estimated quantity represented by the surveyed surface at one point in time.

Repeated surveys can provide something more valuable: change.

If the same mining area is surveyed periodically, project teams can compare terrain models from different dates to better understand how the physical site has changed.

For example, an operator may compare the surface captured at the beginning and end of a reporting period. The difference between those surfaces can provide information about areas where material has been removed or added, subject to the survey methodology, reference surfaces, site conditions, and intended calculation.

This means LiDAR can become more than a one-time mapping exercise.

It can form part of a repeatable spatial record of mine development.

For operations teams, this can support reconciliation, progress monitoring, inventory-related measurements, and planning for subsequent work.

Monitoring the Mine as It Develops

An active mining site is constantly changing.

Haul roads may be extended or modified. Stockpiles change shape. Excavated areas expand. Waste dumps develop. Drainage conditions may change as the terrain is altered.

Periodic LiDAR surveys can provide a detailed record of these physical changes.

By comparing datasets collected at different stages, mine operators can visualize how the site has evolved and identify areas that warrant closer engineering or operational review.

The same principle can apply to infrastructure surrounding the mine. Roads, processing areas, drainage features, slopes, and other surface infrastructure can be captured as part of the broader three-dimensional dataset depending on the project scope and required resolution.

Rather than creating separate maps that become isolated snapshots, repeat surveys can establish a more consistent history of how the mine's physical environment has changed.

Different LiDAR Platforms for Different Mining Requirements

Not every mining survey requires an aircraft. The appropriate LiDAR platform depends on the size of the area, required detail, accessibility, terrain, vegetation, and intended application.

For extensive exploration areas, large open-pit environments, and broad mine sites, Aerial LiDAR using a manned aircraft can provide an efficient way to capture large areas.

For smaller or more localized areas, Drone LiDAR may be more practical, particularly when frequent acquisition is required and the project area does not justify deploying a larger aircraft.

Terrestrial LiDAR can provide highly detailed measurements is appropriate for specific structures, facilities, exposed faces, or localized areas where significantly greater detail is required.

The objective should not be to select the newest technology or use the same platform throughout the life of the mine. It should be to match the surveying method to the information the mining team actually needs.

One Dataset, Multiple Mining Applications

Mining companies should therefore think about LiDAR as more than a method for producing a topographic map.

Depending on the project specifications and survey frequency, the same type of geospatial dataset can support multiple stages of mining development.

During exploration, it can provide detailed baseline terrain information across large and difficult-to-access areas.

During planning, terrain models and point clouds can provide a spatial foundation for roads, facilities, pits, drainage, and other mine infrastructure.

During operations, repeat surveys can support volume computation, surface comparisons, and monitoring of physical changes.

And as the project progresses toward rehabilitation, updated terrain information can help document how the site has changed from its earlier condition. The data can also continue downstream into compatible mine-planning and engineering software rather than ending with the surveyor.

Why LiDAR Is Particularly Valuable for Mining

Mining combines several conditions where LiDAR can be especially useful: large project areas, difficult terrain, vegetation, continuous physical change, and the need for detailed three-dimensional information.

Conventional surveying remains appropriate for many localized mining requirements. But as the area becomes larger or the amount of terrain information required increases, collecting sufficient measurements from the ground can require significantly more field access and mobilization.

Aerial LiDAR allows dense measurements to be collected across extensive areas while reducing the need to physically traverse every part of the project site.

More importantly, the resulting dataset is not limited to a single line on a map or one calculation.

A properly planned LiDAR acquisition can produce a classified point cloud, DTM, DSM, contours, and orthophoto, providing mining teams with several ways to analyze and revisit the physical environment.

At AB Surveying and Development, our LiDAR capabilities allow the survey approach to be selected according to the size, terrain, required detail, and intended use of the mining project.

Because whether a project is still exploring a potential site, planning mine infrastructure, calculating material volumes, monitoring an active operation, or documenting changes to the terrain, the underlying requirement remains the same: You need accurate information about the ground you're working with and how that ground is changing.