Nine tenths of your footprint, and none of it measured.
Purchased goods carry almost all of a food company’s emissions, and almost all of that is a spend-based estimate. The Land Sector and Removals Standard raises the bar on traceability and primary data from 2027, and FLAG targets need supplier coverage you cannot buy from a database. Tracebud supplies the farm-level record underneath.
We adapt the live EUDR platform to Scope 3 accounting, with 2–3 partners.
You shape what ships — and keep preferential terms for your entire contract duration.
Not ready?
- 2027Land Sector and Removals Standard in effect
- v1.2SBTi FLAG guidance
- 2030No-deforestation commitment deadline
- E1-7ESRS removals disclosure
Three activity classes, reported separately
Report all three land lines, separately.
The Land Sector and Removals Standard splits land emissions into three and keeps them apart in the report. Each one needs something different from the farm, and removals carry the heaviest traceability requirement of the three.
- Class onePlot geometryLand use changeEmissions from converting natural ecosystems: deforestation, drained peat, converted grassland.What it needs from the farmA boundary and its history. Already screened against imagery from the 2020 cut-off for every plot in the chain.
- Class twoField recordsLand managementFertiliser application, soil emissions, residue handling, energy on farm and in first processing.What it needs from the farmActivity data per plot per season, captured by the producer in the app rather than surveyed once a year.
- Class threeHighest barLand management removalsCO₂ taken up by shade trees and soils on land inside your own supply chain.What it needs from the farmPrimary data and traceability to the plot, held over time, with the tree count and canopy check behind it.
Purchased credits sit outside the inventory and cannot be subtracted from it. In-chain removals on plots you can name are a different matter, and they are the reason plot-level records stop being optional.
How primary data reaches you
The request goes down, the data comes up.
Primary data cannot be bought. The ask has to travel the route your volume came from, in reverse.
An invitation is a request, not access. Suppliers share the figures for the volume you bought, every line is labelled by data quality, and producers never pay to be counted.
How it works
Watch one delivery become one line.
The same delivery, from the scale at a washing station to a line in your disclosure you can defend. Two products: the Field App at origin, and the Dashboard your inventory is built in.
Jan 2024 · Field App
The line starts as a weighed delivery.
640 kg from PLOT-1182, weighed at the gate and receipted to the producer. Every tonne in your inventory begins as a transaction somebody witnessed.
Feb 2024 · Dashboard
The same tonne, priced two ways.
Spend-based estimation gives you a number nobody can act on. The same delivery calculated from what was measured on the plot gives you one you can reduce.
Nov 2024 · Field App
The removal is a visit, not a model.
Insetting only holds if somebody went back to the plot. The recheck that keeps the regenerative claim honest is what lets a removal enter your inventory at all.
PLOT-1182 is the same plot the regenerative programme enrolled and carbon accounting measured. One plot record, three uses, no rebuilding in between.
The rollup
Turn a walked boundary into a line in your disclosure.
Four hops, each one a record rather than an allocation. The consolidated figure can be taken apart in front of an auditor and put back together, which is the only test a Scope 3 line has to pass.
- Hop 01PlotA walked boundary with its practice and input records for the season.11,240plots in the origin
- Hop 02Delivery and lotKilos delivered, aggregated into a lot with the plots that fed it.42.0 tgreen coffee in the lot
- Hop 03Supplier factorA footprint for that lot, calculated from its own farms rather than a database.0.96kg CO₂e per kg
- Hop 04Category 1 lineConsolidated with the rest of your volume, each part still openable.68%of volume at Tier 3
Data quality
Move volume up the tiers, one supply base at a time.
The standard adopts the IPCC tier structure: global defaults, country factors, then site-level data. Nobody gets to Tier 3 everywhere. What matters is knowing exactly how much of your volume sits where, and moving the largest origins first.
FLAG targets
Meet a validated target with data your farms can produce.
FLAG applies to land-intensive sectors and to anyone whose land emissions pass a fifth of their total. Each requirement below turns into a data obligation at origin, and three of the four are things only a farm-level record can satisfy.
- No deforestationA commitment with a cut-off date, applied across the commodity, not a policy statement.In TracebudEvery plot screened against the cut-off, with the result and its date on the record.
- 67% of Scope 3 FLAGTwo thirds of your land emissions have to sit inside the target boundary.In TracebudCoverage counted on purchased volume, so you know what is in and what is missing.
- Commodity pathwaysReductions measured against the pathway for that commodity rather than a blanket rate.In TracebudPer-commodity, per-origin figures that can be compared season on season.
- In-chain removals onlyNear-term targets cannot be met with purchased credits.In TracebudRemovals recorded on named plots inside your own supply base, kept separate from gross emissions.
Thresholds and deadlines follow the SBTi’s own FLAG guidance and change with its versions. We hold the records; your target structure and its validation stay with you and the SBTi.
How it fits
Your accounting platform keeps its job.
Consolidation, factors, assurance and disclosure stay where they are. What changes is that the origin end of Category 1 stops being an estimate, because a named plot in a named cooperative recorded what it actually did. That origin footprint is what a carbon accountingprogramme calculates, if you don't already have one running.
- You keepYour carbon accounting platformConsolidation, factor libraries, assurance and disclosure all stay where they are today.
- We supplyPrimary data with traceabilityPlot geometry, land use change screening, land management activity data and removals, tied to the volume you bought.
- You gainA line that responds to workWhen a cooperative changes practice, your reported figure changes with it. That is the whole argument.
If you already collected data
Bring what you already have.
Supplier lists and plot boundaries collected for EUDR or certification import in bulk — Scope 3 runs on the same records, so nothing is collected twice.
GeoJSON · 4.2 MB · one upload
2,847plots imported
- Same polygons — Category 1 runs on records you already hold
- No re-mapping — boundaries land once, calculations follow
- 0 duplicates — existing records matched, not doubled
GeoJSON, KML, CSV or a full package — templates for every format. Errors show before anything is saved.
Questions we get.
Do you calculate our Scope 3?+
No. We supply the origin end of Category 1 as primary data with the traceability behind it, in the format your accounting platform or consultant needs. Consolidation, factors and disclosure stay with you.
How much of our volume can realistically reach site-level data?+
As much as you have relationships for. Volume bought through a known cooperative or exporter can get there in a season; spot purchases through open markets cannot, and no software changes that. The honest answer is a coverage percentage you can show, which is what auditors and the SBTi actually ask for.
Can we net removals against our emissions?+
Not under the land sector rules, and we would not help you present it that way. Gross emissions and removals are held separately on our side too, per plot, with the evidence for each.
Our suppliers will not share farm data.+
Producers own their records here and grant access, which is usually the reason they agree. A cooperative that would refuse a data request from a buyer will often accept an arrangement where its members hold the record and the buyer sees only what concerns their volume.
Pick the origin that moves the number.
One commodity, one origin, one season. You will have a supplier-specific figure with plot-level evidence behind it before the reporting year closes, and a defensible answer to how much of the line it covers.