Tree Cover vs Forest Under EUDR

Tree cover is an observation, forest is a legal classification

Tree cover describes the presence or extent of trees in an area. EUDR forest is a legal definition combining area, tree height, canopy cover or capacity to reach the thresholds, and the exclusion of predominantly agricultural or urban land. A map showing trees cannot by itself settle that classification.

The distinction matters because EUDR deforestation is conversion of forest to agricultural use. A loss layer may flag a change worth investigating, while an agricultural tree plantation may remain densely covered without being forest under Article 2(4). Green imagery is not automatically evidence that forest remains or that no conversion occurred.

The deforestation-free requirement depends on the legal classification. Compare the Regulation's definitions with the detailed land-use interpretation in the July 2026 guidance.

Why a plantation can look like forest

Oil-palm, rubber and other agricultural tree systems can have tall trees and substantial canopy. Article 2(6) includes agricultural plantations within agricultural use and excludes them from forest. The actual agricultural production system therefore matters, not simply whether a satellite detects woody vegetation.

If qualifying forest was replaced by an agricultural tree plantation after the cut-off, the present trees do not erase the conversion. The assessment needs the previous forest state, the change date and the subsequent agricultural use. A current high-canopy image answers only part of that history.

The same reasoning works in reverse for long-established agriculture. Shade trees in an existing agricultural system do not necessarily make the area forest. Establish predominant land use and the relevant physical and management facts before interpreting canopy data as a legal forest boundary.

Why a forest can temporarily show little tree cover

Managed harvesting, natural disturbance or early regeneration can produce an opening without converting forest to agricultural use. The guidance discusses temporarily unstocked forest expected to regenerate. Forest management information and a time series can help distinguish a temporary condition from a lasting land-use change.

A single low-cover observation should therefore not be used to classify a source area as non-forest historically or currently without context. Ask why the cover is absent, what preceded it and what land use follows. The answer may differ between adjacent areas that look similar on one image date.

For relevant wood, the separate degradation test remains important. A harvest may avoid agricultural conversion while inducing a specified forest-type transition. Tree cover recovering after harvest does not itself establish that the Article 2(7) degradation condition has been avoided.

Read map products according to their definitions

Different datasets may measure tree cover, forest cover, tree-cover loss, land use or disturbance alerts. Their labels, thresholds and observation periods can differ from the EUDR definitions and from each other. Record which product was used, its version and what its classification actually means.

A pixel marked loss does not necessarily identify permanent agricultural conversion. A pixel marked forest may include agricultural tree systems under a dataset's method. Map resolution also matters where narrow clearings, mixed land uses or small source plots are involved.

Use the map as evidence within an interpretation, not as an unexplained pass-or-fail result. Where datasets disagree, examine definitions, image dates, cloud effects, geolocation alignment and field context. Resolving a conflict can be more informative than selecting the layer with the most favourable colour.

Keep land-use and boundary evidence together

The guidance says forest and agriculture within a property should be assessed separately. A large farm's predominant agricultural share does not automatically remove a qualifying forest section. Conversely, drawing one polygon around a mixed landscape does not make every part forest because nearby canopy dominates the image.

Link mapped observations to the actual production area and goods. An offset boundary can create a false alert or miss a real conversion, while an oversized sourcing polygon can obscure where the commodity was grown. Validate coordinates before relying on the land-cover interpretation.

Cadastral maps, dated production records, management plans and other reliable evidence can help interpret use. Their role is to establish relevant facts, not override objective forest characteristics with an administrative designation. Note which question each source answers and which uncertainty remains.

For example, one layer may identify an oil-palm plantation as tree cover while another identifies it as cropland. That difference need not mean either dataset is defective: they can be measuring different things. The EUDR reviewer should establish the plantation's agricultural use and history, then explain how the observations support the legal classification. A historical conversion from qualifying forest remains relevant even if the current plantation is correctly excluded from forest.

Document the step from pixels to a conclusion

A defensible file separates the raw observation, the interpretation of land use and the EUDR classification. For example, it may record a canopy reduction, corroborating evidence of continued forest management and the reason that agricultural conversion was not established. Another case may show replacement by a commodity plantation.

The satellite-evidence assessment explains how to review alerts and image sequences. Preserve dates, versions, boundaries and the reviewer rationale so another person can understand why a map signal was accepted, rejected or investigated further.

The final compliance decision should account for evidence quality and unresolved risk. Neither a clean tree-cover layer nor a single alert is a substitute for applying the Regulation's definitions to the actual source land and relevant products.