Every Tree Has a Story.
We Keep It Standing.
From 700 kilometers in orbit, we watch the world’s ancient canopies breathe, grow, and heal. Peaceful, real-time satellite protection making forest verification effortless and dependable.
Simple, indisputable confirmation that your commodities come from thriving, deforestation-free land.
High-frequency radar beams look straight through monsoon rain and tropical cloud cover 24 hours a day.
Download legal boundary dossiers ready for European regulators with zero delays or guesswork.
Why We See What Others Miss
Tropical rainforests are shrouded in clouds for up to 200 days a year. We combine optical color with cloud-penetrating radar for relentless monitoring.
Dual-Sensor Radar & Optical Synthesis
Optical cameras see fine canopy greenness, while microwave radar shoots right through heavy monsoon clouds to feel the physical tree volume. When trees fall, our AI model isolates real forest disturbance from normal seasonal changes.
Adapts to Every Forest on Earth
Trained to understand Amazonian rainforests, Indonesian peat swamps, and African river basins with fast adaptation.
Instant Legal Boundaries
Automatically turns pixel alerts into clear legal polygon shapes ready for trade customs dossiers.
Statistically Proven Numbers
Every hectare measurement comes with certified 95% scientific confidence intervals, leaving zero room for greenwashing.
How It Works
From raw orbital satellite streams to certified compliance dossiers in four simple steps.
Collect
We download paired optical and radar satellite imagery before and after the 2020 legal baseline.
Align
Our dual-branch neural network aligns coordinates down to the individual 10-meter pixel.
Detect
We compare changes over time to isolate true forest loss from harmless seasonal farming.
Certify
We export verified polygon coordinates and audit reports ready for European customs.
The EUDR Mandate
European Regulation (EU) 2023/1115 requires proof that imported goods were not produced on deforested land.
| Requirement | The Legal Rule | How GeoFM Solves It | Status |
|---|---|---|---|
| Cutoff Date | Zero deforestation after December 31, 2020 | Compares present day against the historical 2020 satellite archive | ENFORCED |
| Regulated Goods | Cattle, Cocoa, Coffee, Oil Palm, Rubber, Soya, Wood | Automatic commodity tagging and permanent audit trails | ACTIVE |
| Land Coordinates | Farms over 4 hectares require exact polygon borders | Automated polygon generator emitting certified GPS coordinates | VERIFIED |
| Audit Defense | Must be statistically defensible in court | Olofsson stratified error matrix with 95% confidence intervals | CERTIFIED |
Interactive Sensitivity
Drag the slider to test how the detector balances catching subtle tree loss against avoiding false alarms.
Quickstart
Run training, evaluate test sets, or launch the interactive workstation on your own machine.
git clone https://github.com/safiydev/geofm-deforestation.git
cd geofm-deforestation && pip install -e .
pytest tests/ -v # verify test suite
python studio.py --port 8501 # launch web studio (proof-of-concept)Notice: The local Web Studio is an experimental, untested proof-of-concept. If you want to test and evaluate this project, running our Google Colab Training Pipeline or Dataset Builder ZIP Generator is strongly recommended.