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Nature-based Carbon Removal
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Solutions
Food and Agriculture
Nature-based Carbon Removal
Product
Platform
Data
Reports
About
Mission
Team
Technology
Net Ecosystem Exchange
Awards & News
Blog
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Our innovation
AI technology core leverages
satellite
,
ground sensor
and inventory data
Request a demo
Combination of “top-down” and “bottom-up” approaches increases the reliability of estimations;
Fully remote, doesn’t require any on-site operations;
High spatial (up to 30 meters) resolution;
High temporal (up to 1 week) resolution;
Global coverage.
Advantages of the technology
Read our peer-reviewed article here.
Top-down approach
Bottom-up approach
Multispectral
satellite imagery
Local map, 30-meter resolution
Global map,
5-10 km resolution
AI COMBINED APPROACH
Machine learning algorithm
Ground stations
Ground stations
Global atmospheric transport model
Greenhouse gas observing satellites
Gathering
multispectral imagery
and gas concentrations from the satellites.
Feature extraction and preparation for data assimilation.
Estimating global carbon fluxes using data assimilation with transport model.
Restoring hi-res carbon fluxes with the use of extracted features.
Сollecting data
Modelling emissions
Aggregating data and preparing the personal account.
Providing estimations