Kanop

Kanop applies machine learning to optical and radar satellite data to measure biomass, carbon stock, canopy height and biodiversity at tree-level precision, delivered through a web platform and API for nature-based projects.

AI MRVTree-levelOptical + SARWeb + API
ANALYTICS
Kanop
Founded2021
HQParis, France
StageEarly (~$1.15M raised)
API and accessYes
Founded2021
HQParis, France
StageEarly (~$1.15M raised)
API and accessYes
EvidenceCorroborated

Explainable, tree-level measurement from satellites, packaged for project developers and investors.

What they do

Inside Kanop

Kanop processes optical and SAR imagery with proprietary models to generate biomass, carbon stock, canopy height and biodiversity indices, with explainability down to individual trees.

The platform serves project developers and investors who need precise climate and biodiversity measurement and de-risked nature-based investment decisions, available through web access and an API.

In April 2025 Kanop partnered with Open Forest Protocol to combine a dynamic baseline approach with decentralised MRV for the voluntary carbon market.

Climate & nature use-case

A tree-level measurement engine whose biomass and canopy outputs can serve as evidence layers for project baselines and ongoing monitoring.

LayerCarbon & forest analytics
Signal

Recent developments

  1. Apr 2025Partnered with Open Forest Protocol to build a next-generation digital MRV solution combining dynamic baselining with decentralised verification.
  2. 2024Released an updated biomass model improving tree-level measurement accuracy.
Carbon & forest analytics

Using Kanop in a project

The provider’s own site holds its current capabilities, access terms and documentation. Read them before selecting the tool or planning an integration.