Satellite Intelligence • Spectral Analysis • Change Detection
Transform satellite and aerial imagery into actionable intelligence for environmental monitoring, agriculture, and urban planning.
Process and analyze data from multiple satellite platforms including Landsat, Sentinel, Planet, and commercial high-resolution sensors.
Calculate and analyze vegetation, water, and built-up area indices for environmental monitoring and assessment.
Identify and quantify environmental changes over time using advanced algorithms and machine learning techniques.
Comprehensive technical reports with methodology, results, and recommendations
Processed raster and vector datasets in multiple formats
Web-based visualization tools for data exploration
Multi-temporal NDVI analysis for crop stress detection across 5,000 km² of agricultural land.
Delivered early warning system with 85% accuracy prediction.
Thermal infrared analysis using Landsat 8 TIRS data for urban planning.
Identified heat mitigation opportunities in 3 major cities.
Post-fire burn severity mapping using NBR indices and machine learning.
Supported disaster recovery planning for affected communities.
Satellite imagery selection, cloud screening, and preprocessing
Atmospheric correction, geometric correction, and radiometric calibration
Spectral indices calculation, classification, and change detection
Ground truth verification, accuracy assessment, and quality control
Final maps, reports, and interactive dashboards
Transform your satellite imagery into actionable intelligence. Our team of remote sensing experts is ready to help you monitor environmental changes, optimize agricultural operations, and make data-driven decisions.