Agricultural Crop Monitoring Dashboard
Custom pipeline development
Sentinel-2 NDVI time series and Prithvi crop mapping for food security monitoring.
A complete satellite-based agricultural monitoring system for your country or region. Built on Sentinel-2 monthly NDVI time series, Prithvi-EO-2.0 crop type mapping, and vegetation stress indicators, the dashboard gives food security analysts and ministry staff a real-time view of crop conditions across all administrative units.
Features: cloud-masked monthly NDVI composites, automated anomaly detection (z-score against 5-year baseline), crop area estimates per district, stress alerts triggered when NDVI falls 20% below seasonal norm, and CSV/GeoJSON export for WFP VAM and FAO systems.
Deployed for: Ministry of Food and Agriculture (Ghana), USAID Feed the Future monitoring programs. Typically covers national scale at 10 m resolution.
What's included
Data acquisition
Imagery sourced from 22+ providers, matched to your area and time window.
AI analysis
Segmentation, detection or change analysis through our pygeovision pipelines.
Clear deliverables
Maps, GeoJSON layers and reports you can use directly or hand to stakeholders.
Full transparency
Auditable, reproducible workflows — every result traces back to its source scene.
How delivery works
Scope
We agree objectives & AOI.
Build
We develop the pipeline.
Review
You validate the results.
Deliver
Final outputs & handover.
One-off project, quoted precisely to your scope.
- Built on open-source tooling
- No proprietary lock-in
- Reproducible & auditable