TRUST & METHODOLOGY

Show the source. Preserve the reasoning.

Our evidence principles guide how records are organized and reviewed. Applicable methods and verification criteria must be defined for each program.

Illustrative rice field water-level observation
Water observation · does not measure methane
PRINCIPLE 01

Evidence provenance

Retain the source, collection time, field context and transformations behind each record.

PRINCIPLE 02

Data quality & confidence

Make completeness, consistency, uncertainty and limitations explicit. Confidence is not certification.

PRINCIPLE 03

Human review & audit trails

Keep reviewer decisions and their rationale connected to the evidence they assess.

PRINCIPLE 04

Consent & privacy

Respect purpose-specific permissions and restrict sensitive farmer and field information.

Analysis is not certification.

AI supports pattern analysis and anomaly detection. Rules check evidence against applicable criteria. Human reviewers handle exceptions and uncertain cases, recording the rationale for their decisions.

Measured values remain separate from estimates. Self-reported activities remain separate from independent corroboration. Preliminary assessments remain separate from verified results. A verified assessment does not by itself issue a carbon credit or grant a certification.

Program-specific assumptions, method versions, quality checks and limitations should accompany any published assessment. No certification, accreditation or independent validation of The Carbon Credit is claimed on this website.

REMOTE SENSING CONTEXT

A satellite observation has a date and a scale.

Imagery supports field interpretation when its coverage, acquisition window and quality are suitable.

SATELLITE INTELLIGENCE · CONTEXT, NOT PROOFConcept view · no live imagery
AI-generated overhead view of a Punjab rice-field mosaic; illustrative context, not live imagery.ILLUSTRATIVE SATELLITE-STYLE MOSAIC · NOT LIVE DATAFIELD A · SAMPLE
OBSERVATION WINDOWS

What a satellite can add

  1. Boundary contextWhich mapped parcel is being observed?
  2. Image qualityIs the acquisition clear and complete?
  3. Seasonal changeWhat patterns appear across dates?
  4. Field record linkWhat ground evidence gives context?

Optical imagery can be limited by cloud, timing and resolution. It does not directly measure methane or prove a field practice.

Illustrative parcels and observation path. Live satellite analysis is available only through the authenticated workspace when real data credentials and suitable imagery are available.
CAPABILITY STATUS

Platform design · capabilities described below are proposed unless explicitly identified as available. Product examples are illustrative, not live monitoring or verified results. Implementation and integrations are agreed for each program.

01 / IN DETAIL

Six evidence principles

Traceability connects a claim to its sources and method. Relevance requires the correct field, activity and period. Completeness makes missing required information visible. Consistency surfaces conflicting observations. Reproducibility retains rules, calculations and method versions. Accountability records consequential decisions and changes.

  • A record can be complete but unreliable.
  • Independent sources may disagree even when both are relevant.
  • A reviewer needs the limitations as well as the supporting records.
02 / IN DETAIL

A documented data-source registry

Each source type needs metadata appropriate to its collection method. A proposed source registry preserves both useful context and interpretation boundaries.

  • Satellite imagery: acquisition date, coverage, dataset and processing; may not establish a practice directly.
  • Field observation: observer, time, location context and protocol; quality depends on the protocol.
  • Photograph: capture time, source and field association; may be ambiguous or incomplete.
  • Sensor: device, units, calibration and timestamp; faults and measurement error remain possible.
  • Farm record: responsible party and reporting period; a declaration may need corroboration.
  • Weather dataset: source, period, units and coverage; regional values may not match exact field conditions.
03 / IN DETAIL

A methodology registry, not a universal method

Different claims require different methods. A methodology record should state its claim or indicator, eligible crops and contexts, input requirements, baseline and comparison rules, calculations, treatment of missing data, uncertainty, acceptance criteria and review responsibilities.

  • Retain methodology version and effective period.
  • Record why the selected method applies to the claim.
  • Do not silently apply revised criteria to an earlier assessment.

This is a proposed registry structure, not a published accredited methodology.

04 / IN DETAIL

What validation can and cannot decide

Missing references and duplicate observations can be flagged through structural checks; a reviewer must determine whether sources are redundant or contradictory. Dates outside the reporting window and spatial mismatches require correct association or replacement evidence. Inconsistent units need normalization with source retention.

  • Missing required evidence → request the specified source; do not infer completion.
  • Contradictory observations → inspect dates, methods and source quality.
  • Inappropriate method version → reassess under the applicable version.
  • Out-of-range measurement → inspect device, units and collection method; do not automatically label fraud.
05 / IN DETAIL

Confidence, human review and the audit trail

Evidence completeness, source quality, agreement, measurement uncertainty and methodology compliance should remain separate from final status. Authorized reviewers inspect records, request information and record rationale. A proposed audit trail captures actions, actors, timestamps and changes to material decisions.

A future numeric score would need a published definition and validation basis. Confidence is not certification.

06 / IN DETAIL

Worked claim: practice adoption on sample field A-024

Illustrative claim: a specified rice practice was implemented in the demonstration season. Required evidence: registered boundary, dated activity log and corroborating observation within the relevant window. Received: boundary and self-reported log. Missing: suitable corroborating observation.

  • Rule applied: all required sources must relate to field A-024 and the same reporting period.
  • Finding: the log alone does not meet the demonstration evidence requirement.
  • Review outcome: more evidence requested; assessment remains preliminary.

This is not a production methodology or real field result. No environmental benefit has been calculated.

07 / IN DETAIL

Governance accompanies the evidence

Collection, retention, sharing and publication require purpose-specific permissions. An authorized report should expose only the sources necessary for the recipient’s responsibility. Public case studies need separate approval and protection for identifiable participants and precise field locations.

START WITH A CONVERSATION

Build a clearer picture
of agricultural impact.

Talk with The Carbon Credit about a DSR program, field evidence requirements, research collaboration or a potential project partnership.