EUDR Data Sources

Satellite imagery and authoritative datasets used for deforestation assessment

Overview

EUDR deforestation assessment requires multiple data layers. No single dataset is sufficient — each has strengths and limitations that complement the others. Canopex combines these sources to produce evidence that is both technically defensible and auditor-friendly.

Dataset Resolution Revisit Coverage Role
Sentinel-2 L2A10 m5 daysGlobal, 2017+Primary NDVI & change detection
Landsat C2 L230 m16 daysGlobal, 1982+Pre-2017 historical baseline
ESA WorldCover10 mAnnualGlobalLand classification
IO Annual LULC10 mAnnualGlobal, 2017+Year-over-year land use change
ALOS PALSAR FNF25 mAnnualGlobalRadar-based forest classification
PRODES30 mAnnualBrazil biomesAuthoritative deforestation mapping
DETER~25 mDailyBrazil biomesNear-real-time deforestation alerts
MapBiomas30 mAnnualBrazil (35+ years)Historical land classification
WDPAVectorMonthlyGlobalProtected area overlap
FIRMS/MODIS1 kmDailyGlobalActive fire detection

Sentinel-2 L2A

The primary data source for post-2017 deforestation assessment. Sentinel-2 is a pair of optical satellites operated by the European Space Agency (ESA) under the Copernicus programme.

Key characteristics

10 m/pixel (visible + NIR) 5-day revisit (equator) 13 spectral bands Free and open access

What Canopex uses it for

  • NDVI computation — Normalised Difference Vegetation Index from Band 4 (Red) and Band 8 (NIR) tracks vegetation health over time
  • Change detection — comparing seasonal NDVI values reveals clearing events, regrowth, and degradation
  • Visual mosaics — cloud-free composites for before/after comparisons

Limitations

  • Available only from mid-2015 (limited data before 2017)
  • Optical sensor — blocked by persistent cloud cover in tropical wet seasons
  • SCL (Scene Classification Layer) quality varies; some cloud/shadow pixels pass the filter

Landsat Collection 2 Level 2

Landsat extends the satellite record back to the 1980s. For EUDR purposes, Landsat is critical for establishing a pre-2017 baseline showing land use in the years before Sentinel-2 coverage began.

Key characteristics

30 m/pixel 16-day revisit Landsat 8/9 OLI (B4=Red, B5=NIR) QA_PIXEL cloud masking

What Canopex uses it for

  • Historical NDVI baseline (2013–2017) — establishes vegetation state before the EUDR cutoff period, giving auditors evidence that land was already cleared (or forested) years before the regulation applies
  • Cross-sensor validation — Landsat and Sentinel-2 overlap in 2017–2018, providing independent verification

QA_PIXEL cloud masking

Landsat Collection 2 uses a 16-bit QA_PIXEL band with bit flags for cloud (bit 3), cloud shadow (bit 4), snow (bit 5), and dilated cloud (bit 1). Canopex masks all flagged pixels before computing NDVI to ensure only clear observations contribute to the baseline.

PRODES (INPE)

PRODES (Programa de Monitoramento da Floresta Amazônica Brasileira por Satélite) is Brazil's official annual deforestation monitoring programme, operated by INPE (National Institute for Space Research) since 1988.

Key characteristics

30 m resolution Annual mapping Amazon + all biomes Authoritative / government

Why PRODES matters for EUDR

PRODES is the gold standard for deforestation measurement in Brazil. It is used by the Brazilian government for official statistics, by the UN for REDD+ reporting, and by international bodies for policy decisions. An EUDR assessment that aligns with PRODES findings carries significant credibility.

PRODES data is available via the TerraBrasilis platform as polygons with year, area, state, and biome attributes.

Limitations

  • Annual cadence — clearing events are attributed to the mapping year, not the exact date
  • Minimum mappable area is ~6.25 hectares — smaller clearings may not appear
  • Publication lag of several months after the reference period
  • Covers Brazil only (Amazon, Cerrado, Mata Atlântica, Caatinga, Pampa, Pantanal)

DETER (INPE)

DETER (Real-Time Deforestation Detection System) provides near-real-time deforestation alerts for Brazil's biomes. Where PRODES gives authoritative annual totals, DETER gives rapid situational awareness.

Key characteristics

~25 m resolution Daily alerts Amazon + Cerrado Rapid detection (<1 week lag)

DETER alerts are used by IBAMA (Brazilian environmental enforcement agency) to prioritise inspections. For EUDR purposes, DETER provides an early warning that land use may have changed recently — even before the next PRODES annual mapping cycle confirms it.

MapBiomas

MapBiomas is a multi-institutional initiative that produces annual land-cover and land-use maps for Brazil from 1985 to the present — a 35+ year record unmatched in temporal depth.

Key characteristics

30 m resolution Annual, 1985–present Brazil (expanding to other countries) Machine-learning classification

EUDR relevance

MapBiomas provides historical context that no other single dataset can: what was the land cover in 2000? In 2010? Was the area forest, pasture, or cropland before the EUDR cutoff? This long time series helps auditors distinguish between recently cleared land and areas that have been agricultural for decades.

MapBiomas also operates an Alerta system that cross-references deforestation detections with CAR boundaries, identifying which properties are associated with clearing events.

ESA WorldCover

A global land-cover map at 10-metre resolution, derived from Sentinel-1 (radar) and Sentinel-2 (optical) data. Available for 2020 and 2021.

Key characteristics

10 m resolution 11 land-cover classes Global coverage Free and open

WorldCover is used to classify the land type at the EUDR cutoff date (2020/2021). Was the area tree cover, grassland, cropland, or built-up? This classification provides the baseline against which subsequent changes are measured.

Other Data Layers

WDPA (World Database on Protected Areas)

Global database of protected areas maintained by UNEP-WCMC. Canopex checks whether an area of interest overlaps with any nationally or internationally designated protected area — a significant risk factor for EUDR compliance.

ALOS PALSAR Forest/Non-Forest

Radar-based forest classification at 25-metre resolution from JAXA's ALOS-2 satellite. Unlike optical sensors, radar penetrates cloud cover and works in all weather conditions, providing an independent confirmation of forest presence.

IO Annual Land Use / Land Cover

Global 10-metre annual land use/land cover maps (2017–present) from Impact Observatory and Esri. Provides year-over-year change tracking at the same resolution as Sentinel-2.

FIRMS / MODIS Active Fire

NASA's Fire Information for Resource Management System detects active fires globally using MODIS and VIIRS sensors. Fire events near an area of interest may indicate land clearing by burning — a common deforestation method.

How These Sources Work Together

No single dataset proves or disproves deforestation. Canopex combines multiple independent data sources to build a weight-of-evidence assessment:

  1. Classification — WorldCover, ALOS FNF, and IO LULC establish what the land was at and after the cutoff date
  2. Change detection — Sentinel-2 and Landsat NDVI time series reveal vegetation removal or degradation
  3. Authoritative confirmation — PRODES, DETER, and MapBiomas provide government-backed and peer-reviewed deforestation records
  4. Context layers — WDPA (protected areas), FIRMS (fire), and weather data add environmental context
  5. Determination — all evidence is synthesised into a deforestation-free / risk / non-compliant determination per area of interest

Cross-sensor timeline

Landsat provides NDVI data from 2013. Sentinel-2 takes over from 2017. The two sensors overlap in 2017–2018, creating a continuous vegetation record spanning 13+ years — from well before the EUDR cutoff date through to the present day.

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