What the satellites see
This landscape is real: 27 × 34 km around Khustai National Park, built from Copernicus elevation data and a Sentinel-2 image taken on 4 August 2024.
Switch to a vegetation index and degradation becomes measurable — pale, overgrazed slopes next to healthy valleys.
of Mongolian rangeland face green desertification.
Ground truth, from orbit to soil
- Maxar high-resolution satellite imagery for broad-scale change detection
- Multispectral drones flying survey lanes over every block
- NaturaSpec Ultra soil spectrometry for the carbon stock baseline
- LI-COR flux chambers for continuous biological flux
Calibrated against physical samples by the National University of Mongolia soil lab and the Academy of Sciences' Institute of Botany.
An AI core built for verification
An edge-to-cloud pipeline on Google Vertex AI — Random Forest and Vision Transformer models — turns raw IoT and drone data into a real-time national soil-carbon database.
No generic open-source LLMs in the pipeline: no hallucination risk, and Mongolia keeps sovereignty over its ecological data.
Verified credits, shared with herders
Results are packaged under an International Carbon Registry (ICR) Tier 3 methodology for voluntary markets, and reported through a live API to national and international registries.
Carbon credits and ITMOs remain the property of landowners, herders and the State — revenue flows back to the camps that practise rotational grazing.
Sequester here. Protect there.
Sequestration zone — Khentii, Tuv, Dundgovi and Dornod provinces. Rotational grazing restores soil carbon and generates verified credits for the voluntary market.
Conservation zone — Khustai National Park. Avoided-degradation monitoring feeds high-fidelity ecosystem data into Mongolia's NDC 3.0 and the Joint Crediting Mechanism with Japan.
Zones on the map are illustrative.