MRV for carbon and nature

A geospatial MRV system should make it possible to reconstruct what was measured, where, when, by which method and who approved each change. We design that traceability for carbon, biodiversity and nature projects by connecting baselines, spatial units, observations and documents. The platform organizes evidence and controls; it does not certify credits, independently validate environmental results or replace applicable methodologies and verifiers.

Connect every polygon to evidence

We begin with project units such as area, stratum, plot, point, intervention, land cover or management unit. Stable identifiers and temporal relationships preserve subdivisions, boundary adjustments and condition changes. Every geometry records source, date, coordinate system, method and owner. A later correction therefore does not erase the baseline or break links with samples, photographs and calculations.

Field observations, sensors, satellite imagery and secondary sources can be integrated without pretending they have the same precision. The dictionary defines unit, resolution, uncertainty, frequency and permitted use. Rules detect out-of-range records, incompatible dates, duplicate plots and missing evidence. Findings pass through review states rather than being silently changed to match an indicator.

Operations, access and auditability

The scope may include a data model, catalogue, offline forms, approval flows, change register, evidence repository, indicators and exports. Formula and version identifiers make a result reproducible. When a methodology changes, the previous calculation is retained and the application period of the new method is marked.

Access levels distinguish landholders, communities, technical teams, funders and reviewers. Public outputs can generalize or exclude sensitive locations according to purpose and agreements. Licences and authorizations are reviewed before reusing layers or imagery. Technical traceability does not replace consent, territorial governance or contractual rules.

A measurable first scope

To estimate the work, we request the target methodology, spatial units, frequency, sources, actors, current systems and required products. An initial phase can model the baseline and one complete monitoring cycle in a representative area. We assess completeness, review time, reproducibility and exception handling. The proposal separates data engineering, specialist analysis, quantification and independent verification so each responsibility remains visible and the system can evolve without rewriting its history.