AI-powered Environmental Monitoring

Audit-ready environmental data from satellite, sensor, and industrial process signals.

Zolena Lab translates environmental engineering and atmospheric science research into practical monitoring workflows for methane QMRV, predictive emissions monitoring, oil sands energy analysis, pollution source attribution, and satellite-supported evidence packages.

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Positioning

A measurement and evidence company, not a generic ESG writer.

Zolena Lab works closer to the environmental data layer: satellite remote sensing, sensor calibration, machine-learning analysis, emissions quantification, source attribution, and compliance-supporting technical documentation. ESG, EUDR, land-risk, and property-related reports are customer-facing applications of that evidence layer, not additional core technical capabilities.

Core capabilities

The four official capability statements

Capability I

AI-driven methane monitoring and emissions quantification

A tiered monitoring framework combining satellite screening, continuous low-cost sensor networks, and machine-learning calibration to support methane hotspot identification, anomaly detection, trend analysis, and QMRV reporting support.

For landfills, wastewater treatment facilities, oil and gas sites, industrial parks, and carbon-market teams.
Designed to move from one-time estimates toward traceable monitoring evidence.

Legally binding reporting or carbon-credit verification may require site calibration, reference instruments, or third-party validation.

Capability II

Oil sands energy efficiency analysis and decision support

KDD-based industrial data analysis using Petrinex operating records, k-means clustering, Association Rules, and Chi-square testing to identify high-efficiency operating patterns and factors associated with Steam-Oil Ratio.

Built around real operating data rather than simulation-only analysis.
Supports discovery of operating patterns and optimization opportunities.

This is decision support and opportunity identification, not a real-time optimization control system or a promise of direct optimal operating parameters.

Capability III

Atmospheric pollution source attribution and regional transport identification

PMF and other receptor models can resolve major pollution sources and relative contributions when monitoring data are suitable. CMB may be used when reliable source profiles exist. CALIPSO aerosol extinction data and MERRA-2 reanalysis support regional particulate transport identification.

Supports environmental management and regulatory decision-making.
OFP analysis can support ozone-formation-contribution-oriented priorities.

Technical source attribution supports decisions; legal responsibility requires separate regulatory, permitting, enforcement, inventory, and evidentiary processes.

Capability IV

Predictive Emission Monitoring System for industrial facilities

AI-powered PEMS uses existing process parameters and transparent Keras/TensorFlow model architectures to predict combustion-related emissions, especially NOx, with site-specific model training and validation.

Reference case: 28 months of continuous industrial field validation.
Reported metrics include MAE = 0.5982, r = 0.9451, and 0.14% total-emissions difference in the test set.

The reference case reported 99.93% data availability; this is not prediction accuracy. Models are site- and equipment-specific.

Application scenarios

Prior product work retained as customer-facing applications

These offerings remain part of the website, but they are positioned as applications of Zolena Lab's existing monitoring, satellite evidence, and report-generation capabilities.

Land RiskEnvironmental risk screening

Satellite-supported screening for early-stage review of land parcels, industrial surroundings, and development sites. Not a substitute for ESA, sampling, or local professional review.

EUDRSatellite evidence package

Evidence preparation for EUDR-related due diligence. It supports documentation, but does not guarantee regulatory approval or EU market access.

Property ESGReal-property evidence report

Satellite-supported environmental evidence for disclosure, internal review, and stakeholder communication. No financing or rating outcome is promised.

Green Space ESGStewardship report

Green-space communication support using satellite-observable indicators and method notes. Not a certification or carbon-credit verification.

Bid IntelligenceJoint tendering support

Proposal and tender support for partners that provide field execution, local verification, sampling, and project management.

Partnership model

Algorithm and QMRV layer for environmental teams

Zolena provides

Satellite analysis, sensor calibration logic, emissions quantification workflows, QMRV reporting support, anomaly detection concepts, and technical documentation.

Partners provide

Field survey, equipment deployment, sample collection, laboratory testing, local permits, project management, and on-site verification support.

Shared outcome

Stronger proposals and monitoring programs that combine field execution with data, algorithm, and evidence capabilities.

Evidence base

Research-grounded claims, clear limits.

PEMS

Si et al. (2019), IEEE Access. DOI: 10.1109/ACCESS.2019.2930555.

ORS-CT

Du et al. (2011), Environmental Science & Technology. DOI: 10.1021/es101783w.

Source attribution

Xiong & Du (2019, 2020), Science of The Total Environment.

Boundaries

Trust comes from saying what the technology does not do.

Compliance

Reports can support compliance workflows, but do not replace required local validation, qualified third-party review, or regulatory approval.

Satellite evidence

Satellite data supports screening and evidence preparation; it cannot directly observe subsurface contamination or replace all field investigation.

Model transferability

PEMS and other site-specific models require appropriate data collection, training, calibration, and validation before use in a new setting.