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GeoAI & SatelliteBeta

Satellite Crop Monitoring

Satellite Crop Monitoring processes free, publicly available satellite imagery into actionable agriculture insights. The pipeline classifies crop types from multispectral time series, computes NDVI/EVI vegetation indices to track crop vigor across the season, and flags stress zones for targeted scouting. Results are served as GIS layers on an interactive web map and can feed the TekFarm platform, enabling yield estimation and planted-area statistics at regional scale.

Satellite Crop Monitoring

Tech Stack

Other
Google Earth Engine
AI/ML
RasterioPyTorchU-Net
Backend
GeoServer
Frontend
Leaflet

Key Features

Crop type classification from time series
NDVI/EVI vegetation health tracking
Stress zone alerts for scouting
Interactive WebGIS delivery
TekFarm platform integration

Try It Live

GeoAI Satellite Analysis

Drag the slider to compare dates, or switch to NDVI to read crop health from space

0.950.910.88
2023
2026
Drag to compare
Detected Changes
Deforestation95%
area: 10.1 ha
New construction91%
area: 6.7 ha
Water change88%
area: 9.0 ha

Simulated demo in your browser. Production pipelines run U-Net / Siamese models on Sentinel-2 and Landsat imagery, exporting GIS layers.

Sentinel-2NDVIGoogle Earth EngineSegmentation