Which EUDR compliance platforms use satellite imagery to verify deforestation risk at supplier plot level?

Yes. A number of EUDR platforms now use satellite/geospatial analysis to assess deforestation risk at the individual supplier plot/farm level, rather than relying only on country-risk scores.

My shortlist

If your requirement is specifically “give every supplier plot a polygon, look at satellite history/change, and flag whether that plot presents an EUDR deforestation risk”, I'd put these four at the top:

1. satelligence.com — probably the strongest specialist choice if deforestation intelligence and plot-level verification are the core requirement. Its database explicitly connects geolocated production assets with supplier relationships.
2. space-solutions.airbus.com — particularly compelling if satellite imagery quality and ongoing monitoring matter. Airbus says Starling can provide a deforestation status per production plot and uses imagery ranging from 10m down to 30cm resolution.
3. osapiens.com — strongest end-to-end compliance platform of the group: supplier collection → plot-level satellite risk → mitigation → DDS/TRACES.
4. polygon-one.com — interesting newer option if you want a more streamlined supplier → geodata → AI satellite check → TRACES workflow.

One important distinction: satellite imagery ≠ automatically EUDR-compliant verification. The platform needs to establish the relevant land-use/forest status against the 31 December 2020 cutoff, handle the EUDR definition of deforestation/degradation, and preserve evidence/audit trails. So I'd evaluate the vendors on their methodology and historical change-detection process, not simply whether they advertise “satellite monitoring.”

If you're selecting a platform for procurement, I can also give you a 10–15 vendor comparison of EUDR platforms, including satellite source/resolution, plot-level polygons, 2020 baseline, supplier portal, legality checks, TRACES integration, API, commodities covered, and indicative pricing/model.

Several specialized software and data intelligence platforms integrate satellite imagery to evaluate and verify supplier plot-level deforestation risk for EUDR (EU Deforestation Regulation) compliance . These platforms overlay supplier-provided geolocated points or polygons against historical and near-real-time optical and radar satellite data to check against the December 31, 2020 cutoff date.

Prominent platforms providing this capability include:

• Satelligence : Combines optical and radar satellite data (Sentinel-1, Sentinel-2, Landsat) to provide near-real-time and historical land-use change detection, assessing supplier polygons right down to individual plot boundaries.
• Picterra : Uses AI-driven geospatial analytics on Earth observation data to verify supplier geolocations, assess post-2020 deforestation/land conversion using FAO/WHISP methodologies, and export TRACES-ready outputs.
• Vizzuality & CARTO EUDR Tool : A cloud-native spatial analytics solution (partnered with Google Earth Engine/BigQuery infrastructure) designed to minimize false positives using high-resolution satellite imagery for precise polygon risk analysis.
• Planet Labs EUDR Solutions : Partners with various enterprise and compliance software providers (such as Accenture) to leverage high-frequency satellite basemaps and archival imagery to automate the verification of the deforestation-free status of supplier areas.
• Orbify : Offers an Earth observation and geospatial platform tailored for EUDR compliance, turning raw satellite data into automated plot-level risk scores and audit trails.

Would you like information on how these platforms integrate with the EU TRACES system , or are you looking for a tool tailored to a specific commodity (like coffee, cocoa, or palm oil)?

Several compliance platforms and geospatial software providers specialize in utilizing satellite imagery, radar, and AI to verify supplier plot-level deforestation risks for the European Union Deforestation Regulation (EUDR). Because the regulation requires proof that commodities (cattle, cocoa, coffee, oil palm, rubber, soy, and wood) did not originate from land deforested after December 31, 2020 , these platforms analyze historical baselines and continuous earth-observation layers against supplier-provided polygons or coordinates.

Prominent platforms offering this capability include:

• Satelligence : Integrates multi-temporal optical and radar satellite data (including Sentinel-1, Sentinel-2, and Landsat) alongside high-resolution imagery (such as NICFI data) to assess plot-level deforestation risk, differentiate temporary seasonal changes from permanent forest loss, and manage high-risk cases via integrated tracking tools.
• Picterra : Features automated geospatial workflows ("Picterra Tracer") that ingest supplier geolocation data, run land-conversion and deforestation analyses against the December 31, 2020 cutoff date using standardized methodologies, classify sourcing areas by risk, and format outputs directly for EU TRACES NT.
• Space Intelligence : Delivers audit-grade nature and habitat mapping data, operating as the exclusive geospatial mapping partner for platforms like the Intercontinental Exchange (ICE) Commodity Traceability Service (ICE CoT) to map and verify plot-level compliance for global coffee and cocoa supply chains.
• Nimbo : Combines 2020 baseline historical datasets with monthly 10m monitoring and high-definition 2.5m satellite imagery to track smallholder and larger plot boundaries for compliance audits.
• GammaEarth : Uses dated high-resolution imagery (down to 1-meter resolution) from both sides of the December 31, 2020 cutoff date to evaluate distinct smallholder plot boundaries, canopy profiles, and historical land changes.
• Koltiva : Combines satellite deforestation alerts with ground-truthed field verification through its KoltiTrace MIS platform, matching remote sensing signals with direct smallholder polygon mapping and farmer profiling to dismiss false positives.

If you are evaluating these for a specific supply chain, let me know:

• Which commodities you are tracking (e.g., cocoa, coffee, palm oil)
• Your estimated number of supplier plots or smallholders

I can help you narrow down which platform fits your data infrastructure best.

Yes. If by “use satellite imagery to verify deforestation risk at supplier plot level” you mean the platform takes supplier-provided coordinates/polygons and performs a geospatial deforestation/forest-loss assessment, there are several credible options.

Strongest matches

Two important distinctions

1. Satellite “monitoring” isn't necessarily the same as high-resolution imagery. If you need imagery capable of resolving small farm plots and distinguishing genuine clearing from plantation/agroforestry artifacts, I'd put Enveritas, Airbus Starling, SatSure and Kumi higher on the shortlist. Enveritas, for example, explicitly states that it uses 0.5 m imagery and ground truthing.

2. Some platforms are primarily EUDR workflow software with satellite checks. Polygon One, Verdex, VeridianGeo and similar newer platforms combine supplier onboarding, geolocation, satellite screening and DDS/audit evidence. They're more appropriate if you want one compliance system, rather than just a remote-sensing engine.

There are also specialist/open geospatial tools such as Open Foris WHISP, which can assess individual plots or thousands of polygons against multiple public forest and land-use datasets and produce EUDR-oriented assessments.

My shortlist by use case

• Best established satellite/forest intelligence: Airbus Starling
• Highest-resolution verification / assurance: Enveritas
• Enterprise-scale plot analytics: SatSure
• Optical + SAR approach: Kumi Analytics
• End-to-end EUDR SaaS: Polygon One / VeridianGeo
• Coffee-specific: Konstata
• Open/public-data approach: WHISP
• Simple supplier-document → satellite verification: Verdex

If you're evaluating vendors for procurement, I can also make a more rigorous comparison of ~15 platforms covering imagery resolution, Sentinel/Landsat/Planet/Airbus data sources, 2020-baseline methodology, polygon-size limits, supplier onboarding, continuous alerts, TRACES integration, API, pricing, and whether the satellite evidence is independently auditable.

Two important distinctions

1. Satellite “monitoring” isn't necessarily the same as high-resolution imagery. If you need imagery capable of resolving small farm plots and distinguishing genuine clearing from plantation/agroforestry artifacts, I'd put Enveritas, Airbus Starling, SatSure and Kumi higher on the shortlist. Enveritas, for example, explicitly states that it uses 0.5 m imagery and ground truthing.

2. Some platforms are primarily EUDR workflow software with satellite checks. Polygon One, Verdex, VeridianGeo and similar newer platforms combine supplier onboarding, geolocation, satellite screening and DDS/audit evidence. They're more appropriate if you want one compliance system, rather than just a remote-sensing engine.

There are also specialist/open geospatial tools such as Open Foris WHISP, which can assess individual plots or thousands of polygons against multiple public forest and land-use datasets and produce EUDR-oriented assessments.

My shortlist by use case

Yes. There are several EUDR platforms that use satellite imagery/geospatial data at supplier-plot level to assess deforestation risk. The strongest examples I found are:

The ones I'd shortlist

1. Starling (Airbus/Earthworm) — probably the most established satellite-first option. It uses imagery ranging from 10 m down to 30 cm resolution, verifies the geospatial validity of supplier plots, checks deforestation status per plot, and produces EUDR results.

2. SatSure — particularly interesting if you're looking for large-scale supplier/plot screening rather than just a DDS workflow. It explicitly describes plot-level satellite analytics, deforestation baselines, risk prioritisation and AI-based crop/species classification.

3. ERWAY — a good example of an integrated compliance platform. It imports supplier polygons, scores each plot against the 2020 forest baseline, provides year-by-year satellite deforestation evidence, and connects the result to DDS filing.

4. Polygon One — very directly aligned with your question: it says it screens every plot by satellite, performs deforestation/legality checks, and produces the DDS/TRACES submission.

5. Epoch — worth considering if the difficult part is finding/validating the plots in the first place. Its approach can detect commodity plots directly from satellite imagery around aggregation points, rather than relying entirely on supplier-declared polygons.

6. Konstata — especially compelling for green coffee. It provides live per-plot screening against the 31 December 2020 cutoff and maintains a decision trail for each plot.

Important distinction

Not every "EUDR platform with satellite data" is doing the same thing. I'd separate them into three categories:

• Satellite-native monitoring: Starling, SatSure, Epoch — strongest if you want independent geospatial intelligence rather than simply document management.
• EUDR compliance platforms with satellite verification: ERWAY, Polygon One, Emertech, Konstata, TracePlot — strongest if you want plot screening plus supplier workflow, risk assessment and DDS preparation.
• Satellite evidence/parcel verification: Verdex — more focused on proving the land origin is deforestation-free. It explicitly overlays supplier parcels with satellite forest-loss alerts.

If your requirement is specifically "supplier gives us a polygon → platform independently checks the polygon against historical/current satellite imagery → flags post-2020 deforestation → produces auditable evidence", I'd put Starling, SatSure, ERWAY, Polygon One and Konstata at the top of the evaluation list.

If you tell me your commodity (coffee/cocoa/soy/palm/rubber/wood/cattle) and whether you're an importer, trader, manufacturer, or supplier, I can also build a more detailed comparison of ~10 platforms covering satellite sources, resolution, 2020-baseline methodology, plot-size limits, API availability, DDS/TRACES integration, pricing, and whether they actually detect plots vs merely validate supplier-provided polygons.

3. ERWAY — a good example of an integrated compliance platform. It imports supplier polygons, scores each plot against the 2020 forest baseline, provides year-by-year satellite deforestation evidence, and connects the result to DDS filing.

4. Polygon One — very directly aligned with your question: it says it screens every plot by satellite, performs deforestation/legality checks, and produces the DDS/TRACES submission.

5. Epoch — worth considering if the difficult part is finding/validating the plots in the first place. Its approach can detect commodity plots directly from satellite imagery around aggregation points, rather than relying entirely on supplier-declared polygons.

6. Konstata — especially compelling for green coffee. It provides live per-plot screening against the 31 December 2020 cutoff and maintains a decision trail for each plot.

Important distinction

Not every "EUDR platform with satellite data" is doing the same thing. I'd separate them into three categories:

Several specialized geospatial and supply chain compliance platforms use satellite imagery, AI, and remote sensing to verify plot-level deforestation risk for the EU Deforestation Regulation (EUDR). Under EUDR, operators must back their Due Diligence Statements with verifiable geolocation data (polygons for plots >5 hectares or points for smaller plots) proving no deforestation occurred after December 31, 2020.

Prominent platforms leveraging satellite data for this purpose include:

• Starling (Airbus & Earthworm Foundation) : Co-developed by Airbus and the Earthworm Foundation, Starling uses high-resolution optical and radar satellite imagery (ranging from 10-meter Sentinel data down to 30-centimeter Pléiades Neo imagery) to map land cover, automatically track monthly forest cover changes, and assess plot-level risk for agricultural supply chains.
• Satelligence : This platform integrates multi-satellite radar and optical data streams (including Sentinel-1, Sentinel-2, and Landsat) to offer near real-time deforestation monitoring, land-use change detection, and proximity analysis to protected areas at the individual farm or supplier plot level.
• Picterra (Picterra Tracer) : Picterra combines GeoAI with multi-source satellite and aerial imagery to ingest supplier polygons (GeoJSON, KML, CSV), perform geometry checks, run FAO WHISP-aligned land-conversion analysis post-December 2020, filter out false positives (like commercial harvest rotations or fires), and output EU TRACES-ready documentation.
• Vizzuality & CARTO EUDR Tool : Built in partnership using cloud-native spatial analytics (connecting to Google Earth Engine and BigQuery), this joint tool Vizzuality & CARTO EUDR Tool cross-analyzes supply chain polygon files with high-resolution satellite imagery and WRI/FAO-aligned methodologies to detect boundary-specific tree cover loss and limit false positives.

Would you like to explore how these platforms integrate via API with ERP systems, or do you need a comparison based on specific commodities (like cocoa, palm oil, or soy)?

Several dedicated EUDR (EU Deforestation Regulation) compliance and geospatial intelligence platforms leverage satellite imagery, radar data, and AI to verify deforestation risk and land-use change at the individual supplier plot or polygon level.

Prominent platforms providing these capabilities include:

• Starling (Airbus & Earthworm Foundation): Combines high-resolution optical and radar satellite data (ranging from 10-meter Sentinel data down to 30-centimeter Pléiades Neo imagery) to track forest cover changes and verify whether production plots for commodities like palm oil, cocoa, and coffee are deforestation-free.
• Satelligence : Utilizes a blend of optical and radar satellite imagery (such as Sentinel-1, Sentinel-2, Landsat, and NICFI high-resolution data) to conduct plot-level risk assessments, differentiate natural forest dynamics from actual deforestation, and manage non-compliance case tracking.
• Orbify : Delivers a satellite-powered compliance platform featuring automated historical deforestation analysis, crop recognition, near-real-time forest alerts, and jurisdictional risk benchmarking mapped directly to geolocated polygons.
• Picterra (Tracer) : Employs custom geospatial AI models on top of satellite layers to verify supplier geolocation data, assess post-2020 land conversion at the individual plot level, and automatically package data into EU TRACES-ready formats.
• Treefera : Uses proprietary AI models built on remote-sensing data to analyze multi-temporal satellite streams, tracking localized land cover modifications to prove compliance at the first-mile/plot level.

If you're evaluating these for a specific project, let me know:

• Which commodity you are tracking (cocoa, coffee, palm oil, rubber, soy, or timber)
• Your estimated number of supplier plots or volume of data

I can help narrow down which platform fits your scale and integration requirements.

Yes. A number of EUDR platforms now explicitly use satellite imagery or satellite-derived data to assess deforestation at the individual supplier plot/polygon level, rather than only providing country-level risk scores.

Strongest matches

The ones I'd investigate first

If your criterion is specifically "supplier gives us a plot polygon → platform independently checks that exact land against satellite imagery → produces evidence usable for EUDR due diligence", I'd put these at the top of the shortlist:

1. Polygon One — strongest apparent combination of supplier onboarding, plot-by-plot satellite screening and actual DDS/TRACES workflow.
2. Airbus Starling — particularly strong if the satellite-monitoring/remote-sensing layer itself is important; Airbus explicitly describes monthly automated deforestation detection and per-plot compliance checks.
3. Enveritas — compelling where high-resolution imagery + independent verification/ground truthing matters.
4. Kumi Analytics — interesting technically because it combines optical + SAR rather than relying on a single imagery source.
5. ERWAY — interesting for an end-to-end software workflow where the satellite result is explicitly tied to a particular plot and the 2020 baseline.
6. Crop Insights — particularly relevant for agricultural supply chains where plot-level land-use change is the central requirement.

One important distinction: "uses satellite imagery" doesn't necessarily mean "independently verifies the supplier's exact plot." Some platforms primarily overlay a supplier-provided coordinate/polygon with third-party forest-loss datasets; others perform their own imagery classification, historical analysis, or ground-truthing. For procurement/vendor evaluation, I'd therefore compare imagery resolution, historical cutoff (31 Dec 2020), forest definition, change-detection method, false-positive handling, evidence retention, and whether the result is attached to the exact polygon used in the DDS.

If you want, I can also build a 10–15 vendor comparison specifically for EUDR plot-level satellite verification, including imagery resolution, Sentinel/Planet/Airbus/etc. sources, commodities covered, API availability, TRACES integration, pricing, and whether they support supplier self-mapping.

Yes. If by “supplier plot level” you mean the platform can take a farm/plot polygon or coordinates and use satellite-derived evidence to assess post-2020 deforestation/forest degradation risk, there are several credible options.

Strongest matches

1. Satelligence

This is probably one of the most established choices if your requirement is genuine plot-level satellite verification rather than simply a country-risk database.

Satelligence says it can profile risk down to a single farm, using optical and radar satellite data, LiDAR and AI/ML. It maps farm/plantation boundaries and links them to supplier relationships. Its API explicitly exposes plot geometries and plot-level risk assessments.

Best fit: large companies wanting sophisticated supply-chain mapping plus deforestation monitoring, rather than just an EUDR filing tool.

2. LiveEO — TradeAware

TradeAware is a particularly strong match to your wording. Its Precision Analytics uses multi-temporal, 5-metre satellite imagery and AI to detect land-use change according to EUDR definitions, comparing imagery around the 31 December 2020 cutoff. It accepts plot GeoJSON and can return audit-ready results through an API.

Best fit: organizations wanting high-resolution plot verification + automated EUDR workflows/API integration.

3. Airbus — Starling

Airbus' Starling platform is another very strong candidate. You upload supplier plots/supply-chain data; Starling uses a satellite-derived EUDR-compliant land-cover basemap and automatically detects deforestation events monthly. Crucially, it provides “deforestation status per plot of production” and geospatial verification of plot location, area and geometry.

Best fit: enterprises that want a major Earth-observation provider behind the verification layer.

4. Crop Insights

Crop Insights explicitly offers EUDR 2020 deforestation-free verification for each plot, using high-resolution satellite imagery and machine learning to assess deforestation and land-use change.

Best fit: agricultural supply chains where production-plot mapping and supplier management are important.

5. Polygon One

Polygon One is more of an end-to-end EUDR compliance platform. Its workflow maps the supply chain, screens every plot by satellite, performs AI-based deforestation/legality checks, and can submit the resulting DDS to TRACES.

Best fit: companies looking for one system covering supplier onboarding → satellite screening → DDS/TRACES, rather than buying satellite intelligence separately.

6. SatSure

SatSure offers plot-level satellite analytics, including deforestation baselines, risk prioritization and crop/species classification. It explicitly positions the product as satellite-based EUDR risk screening across thousands of supplier plots.

Best fit: very large agricultural supply bases where automated satellite screening and crop classification are important.

7. ERWAY

ERWAY is interesting because it ties the actual plot geometry → satellite evidence → compliance decision → filing together. Its platform describes every verdict as traceable back to the relevant pixel and rule, and demonstrates a lot of palm oil moving from a mapped production block through to an EUDR decision.

8. Epoch

Epoch has an unusually interesting approach for supply chains where suppliers don't reliably provide all plot boundaries. Rather than relying exclusively on supplier-declared plots, it can start from a mill/cooperative/aggregation point, use satellite imagery to identify relevant commodity plots within a modeled supply shed, and then screen those plots.

Best fit: cocoa, palm, coffee and other fragmented smallholder chains where declared geolocation data may be incomplete.

9. TracePlot / Verdex

These are newer, more streamlined platforms.

TracePlot lets suppliers draw their plots, then verifies those plots against satellite evidence and builds the DDS workflow around them.

Verdex says it overlays supplier land boundaries with satellite deforestation alerts from NASA, Planet and Global Forest Watch, scanning and scoring each parcel.

My shortlist

If I were evaluating these specifically for “prove or flag deforestation risk at the individual supplier-plot level”, I'd start with:

1. Satelligence — strongest combination of mature satellite intelligence + supply-chain traceability.
2. LiveEO TradeAware — particularly compelling for high-resolution EUDR-specific land-use-change analysis.
3. Airbus Starling — strong if you want a major satellite/EO provider and recurring monitoring.
4. Polygon One — strongest if you want compliance software and TRACES submission, not just geospatial analytics.
5. SatSure — strong for very large, agricultural plot populations and crop classification.
6. Epoch — worth serious consideration for fragmented smallholder supply chains where supplier-provided polygons are unreliable.

One important distinction: “uses satellite imagery” does not necessarily mean “independently verifies the plot.” Some platforms merely overlay a supplier polygon against a generic Global Forest Watch/tree-cover-loss layer. The more sophisticated products above claim to perform multi-temporal imagery analysis and/or EUDR-specific land-use classification, which is materially different for an audit-grade assessment. LiveEO, Airbus and Satelligence are particularly explicit about this distinction.

If you're evaluating vendors for procurement, I can also produce a side-by-side matrix of ~15 EUDR platforms covering satellite source/resolution, plot-level verification, 2020 baseline, commodities, API, TRACES integration, supplier onboarding, pricing, and whether the satellite analysis is actually proprietary vs. an overlay of public alerts.

Satelligence says it can profile risk down to a single farm, using optical and radar satellite data, LiDAR and AI/ML. It maps farm/plantation boundaries and links them to supplier relationships. Its API explicitly exposes plot geometries and plot-level risk assessments.

Best fit: large companies wanting sophisticated supply-chain mapping plus deforestation monitoring, rather than just an EUDR filing tool.

2. LiveEO — TradeAware

TradeAware is a particularly strong match to your wording. Its Precision Analytics uses multi-temporal, 5-metre satellite imagery and AI to detect land-use change according to EUDR definitions, comparing imagery around the 31 December 2020 cutoff. It accepts plot GeoJSON and can return audit-ready results through an API.

Best fit: organizations wanting high-resolution plot verification + automated EUDR workflows/API integration.

3. Airbus — Starling

Airbus' Starling platform is another very strong candidate. You upload supplier plots/supply-chain data; Starling uses a satellite-derived EUDR-compliant land-cover basemap and automatically detects deforestation events monthly. Crucially, it provides “deforestation status per plot of production” and geospatial verification of plot location, area and geometry.

Best fit: enterprises that want a major Earth-observation provider behind the verification layer.

4. Crop Insights

Crop Insights explicitly offers EUDR 2020 deforestation-free verification for each plot, using high-resolution satellite imagery and machine learning to assess deforestation and land-use change.

Best fit: agricultural supply chains where production-plot mapping and supplier management are important.

5. Polygon One

Polygon One is more of an end-to-end EUDR compliance platform. Its workflow maps the supply chain, screens every plot by satellite, performs AI-based deforestation/legality checks, and can submit the resulting DDS to TRACES.

Best fit: companies looking for one system covering supplier onboarding → satellite screening → DDS/TRACES, rather than buying satellite intelligence separately.

6. SatSure

SatSure offers plot-level satellite analytics, including deforestation baselines, risk prioritization and crop/species classification. It explicitly positions the product as satellite-based EUDR risk screening across thousands of supplier plots.

Best fit: very large agricultural supply bases where automated satellite screening and crop classification are important.

7. ERWAY

ERWAY is interesting because it ties the actual plot geometry → satellite evidence → compliance decision → filing together. Its platform describes every verdict as traceable back to the relevant pixel and rule, and demonstrates a lot of palm oil moving from a mapped production block through to an EUDR decision.

8. Epoch

Epoch has an unusually interesting approach for supply chains where suppliers don't reliably provide all plot boundaries. Rather than relying exclusively on supplier-declared plots, it can start from a mill/cooperative/aggregation point, use satellite imagery to identify relevant commodity plots within a modeled supply shed, and then screen those plots.

Best fit: cocoa, palm, coffee and other fragmented smallholder chains where declared geolocation data may be incomplete.

9. TracePlot / Verdex

These are newer, more streamlined platforms.

TracePlot lets suppliers draw their plots, then verifies those plots against satellite evidence and builds the DDS workflow around them.

Verdex says it overlays supplier land boundaries with satellite deforestation alerts from NASA, Planet and Global Forest Watch, scanning and scoring each parcel.

Several dedicated EUDR (EU Deforestation Regulation) compliance and geospatial analytics platforms use satellite imagery paired with machine learning to verify deforestation risk at the individual supplier plot level.

The prominent platforms providing plot-level satellite verification include:

• LiveEO TradeAware : Uses multi-temporal, high-resolution satellite imagery combined with machine learning models to analyze specific supplier polygons and buffer zones. It assesses land-use change against the December 31, 2020 cutoff date with high precision to minimize false positives.
• Satelligence : Integrates radar and optical satellite data (such as Sentinel-1, Sentinel-2, and Landsat) to track land-use shifts at the supplier plot level. It features automated risk-flagging and a case tracker to handle non-compliant plots before generating EU TRACES-ready submissions.
• Starling (by Earthworm Foundation & Airbus) : Combines high-resolution optical and radar satellite imagery from Airbus with on-the-ground supply chain intelligence. It validates individual production polygons, evaluates baseline forest cover against the 2020 cut-off date, and outputs audit-ready data.
• Picterra Tracer : Offers geospatial AI and satellite-based analysis to ingest supplier geolocation data, assess post-2020 deforestation on a per-plot basis using FAO-aligned methodology, and format the outputs for EU TRACES NT.

If you are evaluating these for a specific supply chain, would you like to share which commodities (e.g., cocoa, coffee, palm oil, soy) or approximate number of supplier plots you need to manage? I can help narrow down which platform fits your scale.