For a forest owner or manager, timber inventory software turns field measurements into estimates of what is standing, and that is the subject here. For a trader or mill the same words can mean software for stock in a yard; one ERP vendor's guide uses them for "managing your timber inventory" of wood products, and title 46 covers that. It takes plot and tree data from a cruise, or from LiDAR and imagery calibrated with plots, and computes volume, basal area, stems, products and value by stand, species and tract. Every figure it produces is an estimate from a sample. Cruise software can report how uncertain each one is. The question is whether that uncertainty reaches the decisions.
What the usual answer says
Definitions found first when searching this question list features: field data collection on tablets, volume and value calculations, growth and yield projection, and reports for management, sales and valuation. All correct. What they leave out is that each output is a sample estimate, and that some outputs are much less certain than others.
Two cruises, two answers
Corey Green, a university forestry professor, explained the problem in a 2024 extension publication. Even with plots placed without bias, "any two timber cruises in a stand at a specific time will almost certainly give different results". To show how different, he simulated 1,000 cruises of ten plots each in a hypothetical variable hardwood stand. About 30% of them missed the true basal area by more than 10 square feet per acre, and about 10% missed by more than 15. Tripling the plots to 30 brought about 90% of estimates within 10 square feet per acre.
His advice to landowners is to ask for a confidence interval around the estimates, such as timber value. He also marks its limit: "the confidence interval does not account for errors in measurements". A precise estimate from poorly measured trees is still wrong.
The software already computes it
Cruise-processing software has long reported sampling error, by product as well as for the total. The 2018 user guide for the national forest agency's cruise-processing program lists a report of "Error Term, Volume and Confidence Interval", with "Primary, secondary, and recovered product information shown on separate pages", alongside statistics by sample group and stratum. It defines sampling error as expressing "the precision of the inventory".
So the gap is rarely that the figure doesn't exist. It is that the interval stays in the cruise report while the volume moves on, into a harvest schedule, an appraisal or a supply plan, as a single number. A planner looking at a stand's volume in the scheduling system sees the same kind of figure for a stand cruised with 30 plots last year as for one cruised with ten plots five years ago. Nothing on that screen says which is which.
Why the breakdown matters
A tract total draws on every plot. A figure for one product in one species draws on the few trees that carry it, so its interval is wider. Projection adds a second layer: a figure grown forward five years carries the growth model's error on top of the sample's. Decisions run on the broken-down figures: a sale is appraised by product, and a harvest is scheduled by stand. The figure that most needs its interval carried forward is the one that most often travels without it.
What to ask of the software
Ask for four things. The first is a confidence interval or sampling error for the figures decisions use, by stand and product as well as tract. The second is the plot data kept, so estimates can be recomputed when rules or prices change. The third is the date of measurement stored separately from any growth projection. The fourth is an export that carries intervals and dates along with the values, so the systems downstream can see them.
When it doesn't apply
A 100% tally, where every tree is measured, has no sampling error, though it still has measurement error. Uniform stands vary less than mixed natural stands; Green's simulated pine stand, with less variability, showed smaller differences between cruises. And for rough planning, a point estimate may be all a decision needs.
Quarri for forest management is built around how a forest operation runs, from the cruise to the settled account.
Sources
- Green, "Appreciating Uncertainty in Timber Cruising", Cooperative Extension publication CNRE-180P, 18 July 2024: pubs.ext.vt.edu
- Forest Management Service Center, "Cruise Processing User's Guide", 12 October 2018: fs.usda.gov
- acadon, "Timber Inventory Software": acadon.net
Quarri is an AI-native data platform for the timber supply chain. It connects buying, production, sales and inventory for forest management, sawmill, wood products and pulp, paper and packaging operators.