DATA FLOWS → MRV SYSTEMS

MRV Systems

Measurement. Reporting. Verification.
The evidence infrastructure behind every credible climate and nature claim.

In 30 Seconds

MRV stands for Measurement, Reporting, and Verification – the three pillars that transform environmental claims from assertions into evidence.

Measurement

Quantifying environmental outcomes – carbon sequestered, habitat restored, water quality improved.

Reporting

Documenting outcomes in standardised formats – registries, disclosure frameworks, audit trails.

Verification

Independent confirmation that measurements are accurate and reporting is truthful.

Why it matters: Without robust MRV, carbon credits are worthless, biodiversity claims are unverifiable, and nature-positive targets are meaningless. MRV is the infrastructure of trust.

Where This Fits

MRV is the foundation of Data Flows – the vertical element that moves evidence up through the sustainability system:

L5: Corporate Action
L4: Governance
L3: Ecosystem Services
L2: Landscapes ← MRV STARTS HERE
L1: Planetary
MRV DATA
Strategy KPIs, board reports, target tracking
CSRD, TNFD, CDP disclosure
Credit issuance, registry data
Ground-truth, field data, satellite imagery
Reference data, baselines

MRV originates at L2 – where landscapes meet measurement. Data quality at this layer determines the credibility of everything above it: ecosystem service valuations, carbon credit issuance, corporate disclosures, and strategic decisions.

The Three Pillars

1. Measurement

Quantifying environmental outcomes with sufficient accuracy, precision, and coverage.

Remote Sensing

Satellite and aerial imagery for landscape-scale monitoring.

  • Optical: Land cover, deforestation, vegetation health (Sentinel, Landsat, Planet)
  • Radar: Biomass estimation, soil moisture (Sentinel-1, ALOS)
  • LiDAR: Forest structure, biomass mapping (GEDI, airborne)

Ground-Truth

Field measurements that validate and calibrate remote sensing.

  • Plot sampling: Tree measurements, soil cores, species surveys
  • Sensor networks: Soil carbon, water quality, biodiversity (eDNA, acoustic)
  • Community monitoring: Citizen science, local knowledge

The Measurement Challenge

Remote sensing provides coverage; ground-truth provides accuracy. Neither is sufficient alone. Robust MRV combines both – using field data to calibrate and validate satellite-derived estimates.

2. Reporting

Documenting measurements in standardised, interoperable formats.

ContextReporting MechanismWhat Gets Reported
Carbon creditsRegistry submissions (Verra, Gold Standard, UK codes)Project design documents, monitoring reports, issuance requests
Biodiversity creditsBNG registers, TNFD, voluntary standardsHabitat units, condition assessments, management plans
Corporate disclosureCSRD, CDP, TNFD, SBTiEmissions, targets, dependencies, impacts, governance
Supply chainsEUDR systems, certification auditsGeolocation, due diligence statements, chain of custody

The Reporting Challenge

Different frameworks require different formats, metrics, and boundaries. The ISSB and CSRD are bringing convergence – but interoperability remains a challenge. Data reported for carbon credits may not align with data required for TNFD disclosure.

3. Verification

Independent confirmation that measurements are accurate and reporting is truthful.

Third-Party Audit

Human auditors conducting site visits and document review.

  • Strengths: Context awareness, adaptive investigation, relationship building
  • Weaknesses: Expensive, infrequent, limited coverage, potential capture
  • Providers: VVBs (SGS, DNV, SCS Global), certification auditors

Technology-Enabled

Satellite monitoring, sensors, and algorithmic verification.

  • Strengths: Continuous, scalable, consistent, tamper-resistant
  • Weaknesses: Can miss nuance, requires ground-truth calibration
  • Providers: Pachama, Sylvera, Planet, Restor, BeZero

The Verification Evolution

The trend is toward hybrid verification: technology-enabled continuous monitoring augmented by targeted human audits. Satellite alerts trigger site visits. Field data validates algorithmic assessments. Neither replaces the other.

MRV by Domain

Different environmental outcomes require different MRV approaches.

Carbon

Measurement

Biomass estimation, soil carbon sampling, flux towers, allometric equations

Reporting

Registry submissions, monitoring reports, ex-ante/ex-post estimates

Verification

VVB audits, satellite monitoring (Pachama, Sylvera), registry oversight

Maturity: Most developed MRV domain. UK codes (WCC, Peatland) have robust requirements.

Biodiversity

Measurement

Species surveys, eDNA, acoustic monitoring, habitat condition assessment

Reporting

Biodiversity units (BNG), TNFD metrics, SBTN indicators

Verification

Ecologist assessments, satellite monitoring, baseline comparisons

Maturity: Rapidly developing. BNG has set UK standard. Voluntary markets are evolving.

Water

Measurement

Flow monitoring, quality sampling, catchment modelling, satellite hydrology

Reporting

CDP Water, AWS certification, watershed PES reporting

Verification

Lab testing, environmental agency data, modelling validation

Maturity: Mixed. Compliance monitoring mature; ecosystem service MRV emerging.

Deforestation / Land Use

Measurement

Satellite deforestation alerts (GLAD, Planet), historical land cover analysis

Reporting

EUDR due diligence, CDP Forests, supply chain declarations

Verification

Satellite monitoring services, certification audits, field verification

Maturity: Technology mature. EUDR driving rapid adoption. Plot-level traceability challenging.

The Technology Landscape

MRV technology is evolving rapidly. Key players and platforms:

Satellite Platforms

  • Planet: Daily global coverage, forest alerts, supply chain monitoring
  • Sentinel (ESA): Free, open data. Optical + radar. Workhorse of MRV.
  • Landsat (NASA): Longest continuous record. Essential for baselines.
  • GEDI (NASA): LiDAR for forest structure and biomass.

Carbon MRV Platforms

  • Pachama: AI-powered forest carbon verification
  • Sylvera: Carbon credit ratings and monitoring
  • BeZero: Credit quality ratings, risk assessment
  • Chloris Geospatial: Above-ground biomass mapping

Biodiversity MRV

  • NatureMetrics: eDNA sampling and analysis
  • Rainforest Connection: Acoustic monitoring, deforestation alerts
  • Restor: Restoration mapping and monitoring
  • GBIF: Global biodiversity data aggregation

Traceability & Supply Chain

  • Trase: Commodity supply chain mapping
  • Global Forest Watch: Deforestation alerts, supply chain risk
  • Sourcemap: Supply chain traceability platform
  • OpenSC: Product traceability from source to shelf

The AI Revolution

Machine learning is transforming MRV. Models trained on ground-truth data can now extract biomass estimates, detect deforestation, identify species from acoustic recordings, and predict ecosystem trajectories. The challenge is ensuring model accuracy and avoiding black-box opacity.

The MRV Quality Hierarchy

Not all MRV is created equal. Understanding the quality spectrum helps you evaluate claims.

Gold Standard

Direct measurement + continuous monitoring + third-party verification + transparent methodology

Example: Plot-level carbon inventory with satellite monitoring and annual VVB audit

High Quality

Robust sampling + regular monitoring + independent verification

Example: Stratified sampling design with satellite change detection and periodic field validation

Acceptable

Standard methodology + periodic monitoring + certification audit

Example: Default emission factors with annual reporting and certification body audit

Low Quality

Generic estimates + infrequent monitoring + self-reporting

Example: Global average emission factors with no site-specific validation

Unacceptable

No methodology + no monitoring + no verification

Example: Claims with no evidence or transparent calculation

Who Operates in MRV

Project Developers

Generating MRV data for credits

Key questions:

  • What monitoring system do I need?
  • How do I reduce verification costs?
  • What technology should I invest in?

Watch out for: Upfront monitoring costs, evolving standards, verifier availability.

Corporates / Buyers

Evaluating MRV quality of purchases

Key questions:

  • How do I assess credit quality?
  • What MRV standard is sufficient?
  • How do I avoid greenwashing risk?

Watch out for: Quality variance, rating methodology differences, due diligence burden.

MRV Technology Providers

Building the infrastructure

Key questions:

  • How do we scale while maintaining accuracy?
  • What's the path to standardisation?
  • How do we demonstrate reliability?

Watch out for: Ground-truth data needs, model validation, market adoption.

Verification Bodies

Providing assurance

Key questions:

  • How do we incorporate technology?
  • What training do auditors need?
  • How do we maintain independence?

Watch out for: Technology disruption, capacity constraints, conflict of interest.

The Pandion View

MRV is the unglamorous but essential infrastructure of the sustainability transition. Without it, ambitious targets are just words and green claims are just marketing.

The organisations that invest in MRV infrastructure now will have two advantages: credibility (their claims will be defensible) and operational insight(they'll actually understand what's happening in their landscapes and supply chains).

We help clients design MRV systems that work – balancing rigour with practicality, technology with human insight, compliance with strategic value. MRV isn't just a cost centre; it's a source of competitive intelligence.