technology
how we analyze forests

01
Data Collection
We gather a wide variety of data using satellite imagery, an extensive network of field plots, and other cutting-edge remote sensing methods. ... read more

02
Baseline Establishment
To predict carbon sequestration, we combine the power of machine learning algorithms with historical data to establish dynamic baselines. ... read more

03
Carbon Estimation
By integrating additional machine learning models and allometric equations, we then achieve more accurate estimations of carbon storage. ... read more

04
Blockchain Integration
Our blockchain technology is the answer to the common challenge of transparency in REDD+ projects. By publishing all relevant data on our ... read more
blockchain
technology

With transparency issues plaguing REDD+ projects, Forest.io steps up to the challenge by integrating the power of blockchain technology. Promising security, transparency, ... read more
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