Satellite-based ground motion monitoring for mining, energy, and infrastructure
SkyGeo applies InSAR (Synthetic Aperture Radar) satellite data to detect subsurface deformation at scale—a technical stack anchored in Python, MATLAB, R, and GIS tools that reflects deep geospatial engineering. Active projects span next-generation earth observation processors and analytics architecture, while pain points center on scaling insights delivery and expanding product adoption, signaling a transition from pure monitoring delivery toward SaaS-model efficiency.
SkyGeo delivers decision-grade ground-motion monitoring for companies and government bodies managing critical assets in mining, energy, and civil infrastructure. The core value is not raw satellite data but defensible risk intelligence: threshold definitions, early-change detection, and evidence-backed recommendations for operational continuity and regulatory compliance. The company operates globally across Europe, North America, South America, Australia, and Africa, designing monitoring programs around customer cadence, escalation, and governance workflows rather than technical specification alone.
SkyGeo's core stack is InSAR (Synthetic Aperture Radar) combined with Python, MATLAB, R, and GIS platforms (QGIS, ArcGIS). The engineering team is developing a state-of-the-art object-oriented InSAR processor.
SkyGeo targets mining, energy (oil & gas), and civil infrastructure sectors. Active projects include infrastructure monitoring, energy assets, and mining operations monitoring across global regions.
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