Carbon MRV evidence
Phoeniks supplies the measurement layer under agricultural carbon claims: a dated baseline of land cover and cropping practice, monitored change reported with its uncertainty, and permanence-risk inputs. Every figure carries an evidence level, so a verifier can see what was measured and what was modelled.
What it delivers#
- Baseline land-cover and cropping history reconstructed from dated public sources.
- Monitored trajectories with confidence bands instead of point estimates.
- Permanence and reversal risk exposed as model inputs, not as conclusions.
- Evidence package structured for a validation and verification body.
Where the boundary is#
Phoeniks does not issue, certify or trade carbon credits, and does not replace soil sampling where a methodology requires it.
Frequently asked
- Can this evidence be used in a Verra or Gold Standard filing?
- It can be submitted as supporting measurement evidence. Acceptance is decided by the standard body and its verifier against the applicable methodology.
Related pages
Parcel search
Search a normalised farmland inventory built from public portals, with map results, filters, source provenance on every listing and shortlist comparison.
Yield prediction
An APSIM, DSSAT and ORYZA ensemble producing per-property yield estimates, crop-fit signals, scenario runs and a transparent scoring engine.
Evidence and diligence
Validation packs, evidence scoring levels, a reproducibility ledger, diligence PDF export and a pre-diligence room for reviewable farmland decisions.
Data and API
Sentinel-1, HLS, AgERA5, CHIRPS, France RPG, IBGE SIDRA and CIMMYT ingestion, exposed through a listing intelligence REST API and an institutional feed.
Insurance analytics
Yield deviation, basis-risk analysis and parametric trigger design built on documented crop models and replayable weather scenarios.
Scope 3 agriculture
Sourcing-region evidence for food and CPG companies reporting agricultural Scope 3 emissions and land-use change.
Commodity intelligence
Regional production trajectories and in-season deviation signals for traders and analysts covering agricultural commodities.
Data sources
The families of data Phoeniks ingests: satellite, weather and reanalysis, soil, land registry, official statistics and market records.
See also
Request access
Institutional access. No self-serve trial.