- Due diligence information collection (Article 9) includes geolocation, and the simplified handling note for certain micro/small primary operator contexts.
EU Deforestation Regulation (EUDR): Deforestation-Free Products and Due Diligence Geolocation Requirements
Build a geolocation pipeline that suppliers can satisfy and auditors can verify.
Focus: geolocation evidence as part of due diligence information collection (Article 9).
Structured answer sets in this page tree.
Cited legal and guidance references.
Geolocation is one of the most operationally demanding EUDR evidence categories. It is not enough to have coordinates in a file. You need plot or establishment location data that is validated, linked to lots and suppliers, handled through exceptions, and retained with proof. Treat geolocation as a pipeline with quality controls and an audit trail.
1) Where geolocation sits in EUDR due diligence (Article 9 evidence collection)
EUDR due diligence includes information collection, which explicitly includes geolocation of plots of land/establishments (and supporting documentation).
Operationally: geolocation is a required input to the risk assessment and to the DDS evidence pack.
- Capture geolocation per production plot/establishment and link it to lots/batches
- Store provenance: who provided it, when, and under what supplier contract terms
- Keep it retrievable: geolocation evidence is only useful if you can produce it on request
2) Data model: minimum fields for a usable geolocation dataset
A usable geolocation dataset is structured, validated, and linkable to procurement and logistics records. Avoid free-text attachments without indexing.
Build it like master data with change control.
- Plot/establishment identifier and supplier identifier
- Geolocation data (coordinates/polygon as applicable) and coordinate reference assumptions
- Country/region of production and applicable origin context
- Lot/batch linkage keys and validity date range
- Provenance and evidence links (supplier docs, maps, certifications)
3) Validation and quality controls (what 'good' looks like)
Most geolocation failures are quality failures: missing fields, mismatched lots, wrong coordinate format, or unverifiable provenance.
Build automated validations and human review triggers.
- Completeness checks: no missing plot IDs, supplier IDs, or lot linkage
- Format validation: coordinate format and range checks; polygon closure checks where applicable
- Consistency checks: origin country/region matches supplier and shipping records
- Anomaly triggers: sudden origin changes, inconsistent plot areas, duplicate plot IDs across suppliers
4) Exceptions and simplifications: micro/small primary operator scenarios
EUDR includes a simplified regime for certain micro or small primary operators, and it includes a specific simplification: in a defined context, geolocation may be replaced by postal address of plots of land or the establishment.
Do not generalize this. Treat it as an explicitly documented exception with eligibility checks.
- Confirm eligibility conditions for the simplified regime before applying any simplification
- Document the rationale: which rule you rely on, for which supplier, and for which lots
- Maintain a path to upgrade: plan how you will obtain geolocation if conditions change
Geolocation evidence checklist (audit-ready minimum)
Use this as the minimum evidence pack for geolocation. If you can't produce these artifacts quickly, you are not operationally ready.
Automate snapshots and indexing so retrieval is fast.
- Validated geolocation dataset linked to lots and suppliers
- Provenance evidence (supplier submission records and updates)
- Quality control logs (validation results, anomalies, and resolutions)
- Exception register (where postal addresses were used and why)
- Retention and retrieval proof (ability to retrieve by shipment/lot)
Operationalize EU Deforestation Regulation (EUDR): Deforestation-Free Products and Due Diligence Geolocation Requirements across ESG workflows
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