Satellite monitoring of industrial emissions by the Carbonova platform

Satellite monitoring, AI, and industrial data — real-time compliance, from orbit to operation.

Carbonova’s Sentinel AI combines satellite imagery, IoT sensors and machine learning to map emissions and anomalies across the value chain. It detects energy-use patterns, deforestation and industrial activity with geospatial precision. Every pixel becomes proof and every data point builds trust: auditable, traceable and integrated with CarbonOS intelligence.
[WHAT WE DO]
From raw satellite signals to actionable emission insights.
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Satellite Observation
Multispectral imagery from Sentinel-2 (ESA Copernicus), PlanetScope, MODIS and Landsat processed by AI to detect thermal and environmental anomalies, deforestation and industrial activity.
AI Anomaly Detection
Machine learning models flag unexpected emission spikes, land-cover changes, or operational drift — before they show up in regulatory reports.
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Real-Time Alerts
Automatic alerts trigger when anomalies are detected, connecting geospatial signals to operations teams and compliance workflows.
Geospatial Intelligence
End-to-end traceability from satellite pixel to audit-ready disclosure, with full data lineage for EUDR due diligence and CSRD assurance.
Public satellite observation initiatives — such as Climate TRACE and the ESA Sentinel-5P mission — are making it possible to compare declared emissions with independent evidence. The geospatial audit trail is the next frontier of climate accounting.
Climate TRACE & ESA Sentinel-5P
Global satellite climate observation
EUDR
Due diligence readiness for EU Deforestation Regulation (2023/1115) with geolocation-grade supply chain traceability.
CSRD
Satellite evidence layer for CSRD and IFRS S2 disclosures requiring third-party assurance.
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Industrial facility monitored by the CarbonOS carbon management systemSustainable logistics and low-carbon transportationCorporate team in a meeting about climate complianceSustainability specialist analyzing carbon emissions data
[OUR PURPOSE]
Sentinel AI turns continuous satellite observation into audit-ready evidence for EUDR, CBAM, and CSRD — closing the gap between what happens on the ground and what regulators require in disclosures.
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[THE SENTINEL AI SOLUTION]
From orbit to operations.
Industrial facility monitored by the CarbonOS carbon management system
Industrial operation with Carbonova carbon management
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Continuous satellite monitoring across facilities, supply chain nodes, and land-use boundaries with multi-source imagery.
AI-driven anomaly detection on emissions, deforestation, and operational drift — flagged before they reach regulatory reports.
Geospatial evidence with full lineage — audit-ready for EUDR due diligence, CSRD assurance, and CBAM verification.
Corporate team in a meeting about climate compliance
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[ON THE PLATFORM]

How it works in CarbonOS

Satellite and sensor monitoring with AI anomaly detection — environmental and industrial deviations flagged before they become problems.

01 · OBSERVE
Satellite + industrial sensors

Combines satellite imagery and field signals on the same asset graph, continuously.

02 · DETECT
AI anomalies, with context

Models flag environmental and operational deviations and explain why, in English and Portuguese.

03 · ANTICIPATE
Forecasts and recommended actions

Emissions forecasting and continuous insights, with triage, acknowledgment and resolution.

app.carbonova.ai · Sentinel AI
Monitoring · anomalies (demo)
Coverage
satellite + sensors
Anomalies this month
● 3 flagged
Natural language
PT / EN
Status
● monitoring
state and deviation inference · illustrative demo data
SatelliteAnomaly detectionEmissions forecastingNLP EN/PTAlerts