Upload a satellite image. Our trained deep learning model classifies terrain in milliseconds. IBM Granite then generates a full environmental intelligence report — land-use, ecology, human activity and risk assessment.
From raw satellite image to actionable intelligence in seconds.
Drag & drop a satellite or aerial image (JPG, PNG, GeoTIFF).
Image is resized, normalised and prepared for model inference.
TensorFlow/Keras model outputs probability scores across 10 land-cover classes.
Top-3 probabilities are sent to IBM Granite with an intelligence-report prompt.
Full AI report is saved to PostgreSQL and displayed with a probability chart.
One-click export of the complete intelligence report as a PDF document.
Every feature designed for performance, clarity and real-world usability.
TensorFlow/Keras model trained on EuroSAT benchmark data classifies land-use with up to 94.7 % accuracy.
IBM watsonx.ai Granite LLM turns raw probabilities into rich, human-readable environmental intelligence reports.
Interactive chart shows the full probability spread across all 10 land-cover classes for complete transparency.
Generate a professional PDF report containing the image, prediction, Granite explanation and timestamp.
All uploads are tied to authenticated user accounts. Images are stored privately and never shared.
Full searchable log of every prediction with pagination, delete and re-download controls.
Trained on the EuroSAT benchmark dataset — 10 distinct land-use categories.
Create your free account and run your first AI-powered satellite intelligence report in under 60 seconds.