Powerful Solutions.
For Our World’s Most Critical Problems.
Meet ADAM.
Atlas Deforestation Advanced Monitoring (ADAM) is our self-supervised machine learning model that continues to evolve and incorporate the latest developments in remote-sensing science and land-use change analysis.
>adam/system_versions
⚬ Incorporation of EU Global Forests Map
⚬ Improved batch request and faster load times
⚬ New visualization modalities
⚬ Improved security and authentication
Vantage X is our most powerful update yet.
Leverage our insights to scale your business
Deep Learning
Our proprietary deep learning model has been trained to automatically analyse satellite imagery and detect deforestation patterns globally and at scale. Automation reduces the historically manual effort required for analysis and enables the processing of large volumes of data to provide timely identification of deforestation events.
Accurate Land-Use Classification
Our advanced deep learning model, trained on a proprietary dataset, accurately identifies deforestation patterns by detecting vegetation cover changes, differentiating land cover types, and discerning legal from illegal deforestation. This enhances result reliability by minimizing false positives and negatives.
Efficient & Cost-Effective
By using a vast array of satellite imagery databases like SENTINAL-2, our solution efficiently monitors vast global areas, diminishing the need for ground or aerial surveys. Our automated deep learning algorithms further reduce human resource requirements, enhancing efficiency and cost-effectiveness, ensuring top-quality service at minimal cost.
Seamless API Integration
Our advanced deforestation monitoring solution uses multi-spectral satellite imagery and the leading edge of deep learning research ensures our deforestation analysis is more accurate, more scalable and more compliant than every before.
Learn more about how our tech can help your business become a power-house.
Schedule a call with one of our experts