Satellite Farm Health Triage

AI-powered multi-spectral farm health classification using Sentinel-2 and SAR satellite imagery. Identify Healthy, Stressed, or Critical crops — optimize drone inspections and prioritize field visits with 85-88% accuracy.

Multi-Spectral Intelligence Engine

Beyond simple NDVI — 9+ vegetation indices for comprehensive crop health understanding

Vegetation Index Suite

NDVI, NDRE, EVI, SAVI, MSAVI, NDWI, LAI, fAPAR, and GCVI — each tuned with cocoa-specific thresholds.

Temporal Anomaly Detection

Historical baselines detect deviations >2σ from seasonal norms. Week-over-week and month-over-month trend analysis.

All-Weather SAR Monitoring

Sentinel-1 C-band radar penetrates clouds — critical during West Africa's 6-month rainy season.

Multi-Source Data Fusion

Combines optical + SAR + weather + soil moisture + elevation data into unified health assessments.

Zone-Level Analysis

Divide farms into micro-zones to identify within-farm variability hotspots that need targeted attention.

Smart Alert System

Real-time notifications when farm health changes. Configurable thresholds with alert fatigue prevention.

85-88%

Classification Accuracy

RF + XGBoost ensemble

6 Days

Revisit Frequency

Sentinel-2 coverage

Vegetation Indices

Multi-spectral analysis

Data Sources

Optical, SAR, weather...

How Satellite Triage Works

Step 1

Upload Farm Boundaries

Upload your farm polygons as GeoJSON. Single plots or batch uploads for cooperatives. We fetch the latest Sentinel-2 and SAR imagery automatically.

Step 2

Multi-Spectral AI Classification

Our ensemble model analyzes NDVI, NDRE, EVI, GCVI, GLCM texture, SAR backscatter, weather correlation, and soil moisture. Each farm gets a composite health score.

Step 3

Prioritize & Act

View results on an interactive map with per-pixel heatmaps, zone breakdowns, temporal trends, and risk alerts. Export reports and prioritize field visits.

Start Your Farm Health Analysis

Upload your farm boundaries to get a comprehensive AI-powered health assessment

Upload Farm Boundaries

Upload a GeoJSON file with farm polygons to analyze using satellite imagery and NDVI calculations.

Drag and drop your GeoJSON file here

Browse Files

Supported format: GeoJSON (.geojson, .json) · Max size: 10MB

Why Professionals Choose Satellite Triage

Trusted by agronomists and cooperatives across West Africa for precision farm monitoring

Drone Inspection Triage

Prioritize which farms need on-the-ground or drone follow-up — save 70-80% on field costs.

Spectral Unmixing

Detect mixed crops in smallholder plots with crop-type-specific thresholds and 85%+ accuracy.

Batch Analysis

Analyze hundreds of farms simultaneously. Perfect for cooperatives and large-scale monitoring.

Confidence Scoring

Flag uncertain classifications for manual review. Cloud-adjusted quality metrics on every result.

Predictive Forecasting

LSTM models forecast stress 2-4 weeks ahead based on historical trajectories and weather data.

Offline Access

Progressive Web App caches last analysis for field access without connectivity.

Start Triage Analysis