Two Surveys of the Same Stockpile Disagree. Now What

A procedure for resolving two drone survey volumes of the same stockpile that do not match. The order to check things in, why the base surface and the toe boundary explain most of the gap, how to tell a frame problem from an accuracy problem, and what to ask each vendor for so the comparison is actually possible.

Published 2026-11-04 · UAV Imaging Inc.

Key takeaways

This comes up more often than anybody expects. A site gets measured by two different vendors, or by the same vendor before and after a method change, or by a vendor and the client's own crew, and the two volumes do not match. Sometimes the gap is small enough to shrug at. Sometimes it is large enough that somebody wants to know who is wrong.

The useful starting assumption is that nobody is wrong. Two competent surveys of the same pile disagree because they answered slightly different questions, and the work is to find out which part of the question differed. There is an order to check things in, and it runs from the causes that explain large gaps cheaply to the ones that explain small gaps expensively.

First, confirm it is the same pile

Before touching the surveys, check the capture dates and what happened between them. On an active site a pile can change materially in days. A loader working one face, a delivery, a shipment out, or a push to consolidate the stack all move real material, and two surveys taken a week apart on a working pile are not a disagreement about measurement. They are a correct record of two different states.

This sounds obvious and it is still the first thing to rule out, because it is free to check and it closes a meaningful share of cases outright. If the dates are close and the site was idle between them, move on.

Second, the base surface

A stockpile volume is the space between the pile surface and a base surface underneath it. The pile surface is measured. The base surface is chosen, and the choice is made by a person. The common options are:

Two vendors who used different options here will produce different volumes, and the difference scales with the footprint area. On a large footprint, a base surface sitting a short distance higher or lower than the other one produces a volume difference that looks alarming and is fully explained.

This is the first thing to ask each vendor for in writing: what base surface was used, how it was derived, and will they deliver it as a file. If one of them cannot answer, that is the answer.

Third, the toe boundary

Deciding where the pile stops and the pad starts is a judgement call. On a cleanly swept pad with a sharp toe, two people will draw nearly the same line. On a pile with spilled material around the base, a feathered edge, a pile that runs into a wall or berm, or two piles that have grown into each other, they will not.

The boundary matters most where the pile is thin, which is around the whole perimeter. Material at the edge is shallow, so a boundary shift adds or removes a thin layer over a long perimeter, and on a flat-sided pile that adds up faster than people expect.

The fix is the same as for the base surface. Both vendors deliver the boundary they used as a file, and the two boundaries get overlaid. If they differ, the question stops being whose volume is right and becomes which boundary matches what the client means by the pile, which is a question the client can answer.

Fourth, the vertical frame

If the base surface and the boundary match and the gap persists, look at the datum. A vertical datum difference, a different geoid model, or a base station coordinate entered in one reference and processed in another all produce the same signature: a smooth, nearly constant vertical offset across the whole site.

That signature is diagnostic. A uniform offset is a frame problem. It is not an accuracy problem, and it is not a sign that either survey was sloppy, because a survey can be internally excellent and sit in the wrong vertical frame. It is also the easiest kind of gap to fix once identified, because the correction is a single shift rather than a reflight.

What makes it findable is a difference map rather than a pair of numbers. Two volumes cannot tell you whether the gap is uniform. Two surfaces can.

Fifth, what the surface is actually the top of

Photogrammetry returns the top of whatever reflected light. On a stockpile that usually means the material, but not always:

LiDAR behaves differently from photogrammetry on some of these, particularly vegetation, which is one reason two surveys using different sensors can disagree on a pile that has been sitting. If one survey was photogrammetric and the other was LiDAR, this moves up the list.

Sixth, accuracy, and only now

By the time the first five causes are ruled out, the remaining gap is usually small. This is where the comparison becomes a real accuracy question, and the honest handling of it is to combine the two uncertainties rather than to pick a winner.

Each survey has an uncertainty, which should have been established against independent checkpoints rather than quoted from a sensor specification. Two volumes whose difference sits inside the combined uncertainty are not in conflict. They are two consistent estimates, and the pile is known to that precision and no better.

That is an unsatisfying answer when money depends on the number, and it is the correct one. The response is not to keep measuring until two numbers match. It is to decide what precision the decision requires and to specify a method that delivers it, which may mean better ground control, a lower flight, a different sensor, or accepting a tolerance in the contract.

What to ask each vendor for

None of the above is possible with only two volumes in hand. The comparison needs the inputs, and these are reasonable things to ask any vendor for:

A vendor who supplies all of that is making their work auditable, which is a reasonable thing to expect on a number that settles an inventory or a payment. A vendor who supplies a volume and nothing else has delivered an opinion.

Preventing the next one

Once a disagreement is resolved, the cheap move is to write the resolution down as the site's standard. A site that has a captured pad surface on file, a defined toe boundary for each stockpile, a named coordinate system and vertical datum, and a required accuracy demonstrated on every capture will not have this argument again, including across a vendor change.

That package is also what makes a measurement series comparable over time. The same decisions that resolve a two-vendor disagreement are the ones that stop a vendor change from producing an apparent volume step that is really a change in method.

Frequently Asked Questions

Which survey should we pay the invoice on?
Both, assuming both were performed as scoped. The disagreement is almost never a question of whether the work was done. It is a question of which definition the volume was measured against, and that is usually something the scope left open rather than something a vendor got wrong. The exception is a survey delivered without a stated base surface, boundary, datum and demonstrated accuracy, which is incomplete as a deliverable regardless of whether the number turns out to be close.
How big a difference is normal between two drone surveys of the same pile?
There is no single figure, because the dominant terms are definitional rather than random. Two surveys that share a base surface, a toe boundary and a vertical datum, both with ground control and a demonstrated accuracy, should land close enough that the difference is uninteresting. Two surveys that differ on any one of those three can differ substantially and both still be correct about what they measured. That is why the diagnosis starts with definitions and only reaches accuracy at the end.
Can you tell which one is right by looking at the numbers?
No, and that is the main practical point. A pair of volumes carries almost no diagnostic information. The surfaces do. Differencing the two surfaces shows immediately whether the gap is a uniform offset across the whole site, which points at a datum or base surface issue, or concentrated around the perimeter, which points at the toe boundary, or concentrated on one face, which usually means material moved between the captures. Ask for the surfaces.
One survey used LiDAR and one used photogrammetry. Does that explain it?
It can, and it depends on what is on the pile. On clean, freshly worked material both methods measure the same top surface and the sensor choice is not the explanation. On a pile with vegetation growing on it, LiDAR can return points through the canopy while photogrammetry measures the top of it, and the photogrammetric volume will be the larger of the two. Standing water and snow affect both, in similar ways. Check what the pile looked like on each capture date before attributing the gap to the sensor.
We are changing vendors. How do we avoid this?
Hand over the definitions, not just the data. The incoming vendor needs the base surface and the toe boundary as files, the coordinate system, vertical datum and geoid in writing, the base station coordinate and its source, and the accuracy requirement with the expectation that it is demonstrated on every capture. With those in hand a new vendor reproduces the series. Without them, the first capture after the change will show a step that gets read as material movement and is really a change of reference.
Is there a way to settle it independently?
A third measurement helps only if it is defined the same way as the other two, which means it has to use the agreed base surface and boundary or it adds a third number to the argument. Where the money justifies it, the stronger move is a checkpoint exercise: independent points surveyed on the pad and on the pile by ground methods, held out of both solutions, which tests each survey's accuracy claim directly rather than comparing one opinion against another. Scale-house tonnage over a period is also a useful independent check on a pile that is being worked, once the density conversion is handled.
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