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Simplifying plot analysis for compliance, sustainability, and land monitoring

Combine satellite imagery, GeoAI detections, environmental datasets, and historical observations to generate reliable, contextualized insights for every land plot. Automate complex geospatial analysis for compliance, sustainability, and land monitoring at scale — all within a modular, API-ready solution.

What is Picterra Tracer

Efficient plot validation and analysis for today’s compliance and sustainability needs

Picterra Tracer brings together geospatial datasets, imagery-based detections, and environmental context to analyze and monitor land plots at scale. By combining multiple sources of information into repeatable analytical workflows, it turns complex geospatial data into consistent, traceable insights — supporting applications from deforestation risk assessment and land-use monitoring to carbon and sustainability analysis.
Rigorous data verification and correction
Rigorous data verification and correction
Picterra Tracer supports data ingestion from various formats – CSV, KML, GeoJSON – and geospatial imagery from satellite, drone, and aerial sources. Automatic data verification and geometry corrections ensure that the information you analyze is accurate, compliant, and ready for deeper insights.
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Automated plot boundary mapping
Automated plot boundary mapping
Automatically map plot boundaries using only location and area details. Following the crop pattern, Picterra Tracer can detect changes in canopy structure, roads, paths, and grasslands to guide the creation of accurate plot boundaries.
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Turn connected data into plot-level insights
Turn connected data into plot-level insights
Combine GeoAI detections, historical observations, land-cover data, and environmental reference layers to generate contextualized insights for individual plots. Picterra Tracer brings multiple signals together through repeatable analytical workflows to assess land-use change, deforestation risk, carbon-related indicators, and other environmental conditions at scale.
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Flexible integration into existing systems
Flexible integration into existing systems
Picterra Tracer integrates easily into existing systems with a modular API that supports traceability, compliance, and ERP workflows. Start with core analysis and scale with components such as data ingestion, visualization, and reporting, deploying only what’s needed for your use case.
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Streamlined and efficient workflow

Picterra Tracer supports a wide range of geospatial analysis workflows. The example below illustrates its use for deforestation risk assessment and EUDR compliance, from plot data preparation to analysis, integration, and reporting.

01.

Plots data input​

Import data from various sources and formats, including spreadsheets (.csv, .xls) and polygon files (KML, Shapefiles, geoJSON).

02.

Verification and correction of plot data

Automate data ingestion, quality verification, and geometry correction and convert them into a GIS-readable file for further analysis.

03.

Analysis and shipment verification

Perform deforestation risk analysis and other assessments on the data. Verified and corrected data is stored in a farm plots geospatial database.

04.

Data visualization

Interactively explore the results through visualization tools.

05.

Integration via API

The modular API allows customers to integrate the product into traceability and ERP platforms, as well as the EUDR Information System.

06.

Reporting and export

Export shipment verification and due diligence statements in EUDR-compliant formats.

See Picterra Tracer in action

Frequently asked questions

Picterra Tracer is a modular geospatial analysis solution that combines satellite imagery, GeoAI detections, historical observations, and environmental datasets to generate insights at the individual plot level. It automates data validation, multi-source analysis, monitoring, and reporting through repeatable workflows, supporting applications such as deforestation risk assessment, land-use monitoring, and sustainability verification. Its API-ready architecture enables integration with existing enterprise systems.