Blog · how-to · 7min read
How Often to Measure Stockpiles? Continuous vs Periodic
28 Aug 2026 · Sachtleben Technology
Ask three vendors "how often should stockpiles be measured?" and you will get three answers that happen to match what each vendor sells. The honest answer is simpler: measurement frequency follows from what the number is used for. A frequency that is perfectly adequate for the balance sheet is useless for daily yard control, and paying for daily data that only feeds an annual report is money wasted.
A rule of thumb by task
- Annual financial inventory: once a year, audit-grade. If the volume figure only feeds the year-end balance sheet, one precise survey per year is enough, done by drone or terrestrial laser scanner with a signed report your auditor accepts. Frequency is not the problem here; documentation quality is.
- Management reporting: monthly. Where purchasing, production planning or working-capital reporting run on stock figures, a monthly survey keeps book values inside a usable error band. This is the classic cadence for a recurring drone survey: fixed price per flight, results in days.
- Operations and reconciliation: continuous. Where stock numbers steer daily decisions on blending, loading, replenishment or mass-balance checks against belt scales, a snapshot per month is structurally too late. This is the territory of continuous stockpile monitoring with permanently installed sensors: every movement measured as it happens.
The cost logic behind the frequency question
Mobile methods are priced per deployment; fixed systems are priced per site. But the two are not bought for the same job, so cost per measurement is the wrong yardstick. A drone or scan service is hired for the inventory, typically one to four times a year, and you only pay when you fly. A fixed system is not bought because each measurement is cheaper; it is bought for continuous data: daily or real-time stock figures, reconciliation and process control that no flight schedule can deliver. How fixed stockpile monitoring systems are laid out and priced depends on yard geometry and sensor count, not on how often you measure.
The error window between two measurements
Whatever frequency you choose, be honest about what happens between surveys: the yard runs on book values. Belt scales drift 2–3 % between calibrations, loader movements go unbooked, and manual step-and-eye estimates scatter by 5–15 %. The longer the window, the larger the surprise when the next survey lands; twelve months of blind window is exactly why stockpile reconciliation never balances. Frequency does not change any single measurement's accuracy, but it caps how much error can accumulate unseen.
| Continuous (fixed LiDAR) | Periodic (drone / laser scan) | |
|---|---|---|
| Data freshness | Live, 24/7 | Snapshot per survey |
| Typical accuracy | ±1 % volume | 1–3 % drone with ground control; under 1 % terrestrial scan |
| Cost model | Capex per site plus annual maintenance | Price per deployment |
| Blind window | None | Everything between two surveys |
| Best for | Daily control, reconciliation, alarms | Audits, monthly reporting, one-off checks |
This is what we build: OWL EYE® STOCKPILE — continuous stockpile measurement with stationary 3D LiDAR: ±1 % volume, per-zone density calibration, every movement captured as it happens. The measurement interval simply stops existing.
So how often should stockpiles be measured?
As often as the decisions built on the number require, and no more. Once a year for the auditor, monthly for the reporting pack, continuously once the yard itself runs on the data. If the number only feeds the inventory a few times a year, book a survey flight and keep your capital. If daily decisions run on it, look at continuous stockpile monitoring, not as a cheaper measurement but as data you do not have today. And whichever cadence you pick, write it down: a documented, consistent measurement rhythm is worth more to an auditor than a heroic one-off.
Want to discuss this topic or share your own experience? Email info@sachtleben-technology.com — we always reply.