AI-powered satellite analytics and real-time geospatial monitoring for mining stability, slope failure prediction, landslide risk, and infrastructure resilience.
Vyomterra combines InSAR, AI, GNSS, LiDAR, and IoT to detect deformation early and transform risk into actionable intelligence.
Deformation monitoring precision
Remote surveillance coverage
Precursor detection algorithms
Geospatial data fusion
Vyomterra is a deep-tech geospatial intelligence company transforming how the mining, infrastructure, and energy sectors manage ground stability risk. We deliver AI-driven analytical solutions that turn satellite data into life-saving early warnings.
By integrating satellite-based InSAR, IoT sensor networks, GNSS positioning, LiDAR scanning, and spatial data science, we provide a comprehensive view of terrain behavior — enabling proactive safety management and protection of critical assets and human life.
Our mission is to make ground deformation monitoring accessible, accurate, and actionable for every high-risk site on the planet.
Geospatial Intelligence Dashboard
Leveraging multi-temporal SAR and optical satellite imagery for wide-area terrain analysis and deformation mapping.
Creating living digital replicas of mining sites and infrastructure using LiDAR, GNSS, and real-time IoT data streams.
AI-powered precursor identification and early warning systems that detect instability before failure occurs.
Comprehensive monitoring and analytics services designed to identify risk, forecast failure, and support critical decisions across high-risk environments.
Monitor open-pit walls, waste dumps, and tailings storage facilities with millimeter-precision deformation tracking. Identify instability before it escalates.
Combine InSAR displacement data with geotechnical models to forecast slope behavior and optimize design parameters for safer operations.
Generate susceptibility maps using terrain analysis, rainfall modeling, and satellite-derived motion data. Support land-use planning and hazard mitigation.
Deploy ground-based sensor networks integrated with satellite data for continuous, multi-source monitoring of critical infrastructure and terrain.
Analyze time-series displacement data to detect acceleration trends, identify precursors, and quantify strain accumulation across monitored sites.
Integrate space-based (InSAR, optical) and ground-based (GNSS, LiDAR, total stations) geodetic data for comprehensive deformation analysis.
Assess climate-induced terrain changes including permafrost thaw, coastal erosion, and rainfall-triggered instabilities using long-term satellite archives.
AI-powered automated generation of hazard and risk maps from multi-source geospatial data. Reduce manual effort and accelerate decision-making.
Synthetic Aperture Radar Interferometry — our core remote sensing technology for detecting ground deformation with unparalleled coverage and precision.
InSAR (Interferometric Synthetic Aperture Radar) uses radar signals from orbiting satellites to measure ground surface displacement with millimeter-level precision. By comparing radar phase measurements from multiple satellite passes, we generate detailed displacement maps across entire sites.
Unlike traditional point-based sensors, InSAR provides wall-to-wall coverage — detecting movement across open pits, TSFs, waste dumps, and surrounding terrain simultaneously. This wide-area perspective reveals deformation hotspots that single-point instruments may miss entirely.
Our InSAR processing pipeline supports both ascending and descending orbits, persistent and distributed scatterer analysis, and automated time-series decomposition for trend, seasonal, and residual motion components.
Limited coverage. Point-based sensors. Periodic manual readings. Gaps between measurement points. High field exposure risk.
Wide-area continuous coverage. Millimeter-scale precision. Remote operation. Complete site displacement maps. All-weather capability.
InSAR Processing Engine
Radar interferometry analysis
Five reasons enterprises trust us with their most critical monitoring challenges.
Identify terrain instability months before visible signs appear using satellite-derived precursor signals.
Specialized team combining geotechnical engineering, remote sensing science, and AI/ML research.
Millimeter-precision displacement measurements validated against ground-truth geodetic data.
Monitor one site or an entire portfolio — our platform scales from single assets to enterprise deployments.
Decision-ready intelligence tailored for mining, infrastructure, and environmental risk management.
Our end-to-end platform transforms raw geospatial data into actionable intelligence through four integrated stages.
Acquire data from satellites, IoT sensors, GNSS stations, LiDAR scanners, and field surveys.
Integrate multi-source data into a unified digital twin with spatial and temporal alignment.
Process deformation, susceptibility, strain, and precursor signals using AI and physics-based models.
Generate warnings, displacement maps, risk reports, and decision-ready dashboards for stakeholders.
Tailored geospatial monitoring solutions for high-risk sectors where ground stability is critical to safety and operations.
Open-pit wall stability, TSF integrity, waste dump monitoring, and subsidence tracking. Reduce operational risk and ensure regulatory compliance across mining operations.
Monitor dams, bridges, tunnels, and buildings for settlement and deformation. Protect critical infrastructure with continuous, wide-area displacement intelligence.
Railway and highway corridor monitoring for landslide risk, embankment stability, and ground settlement. Enable safe passage through challenging terrain.
Pipeline route monitoring, power plant foundation stability, and wind farm terrain assessment. Ensure energy infrastructure resilience against ground movement.
Track coastal erosion, permafrost thaw, wetland subsidence, and climate-induced terrain changes. Support environmental compliance and conservation planning.
Rapid damage assessment, landslide early warning, earthquake deformation mapping, and post-disaster recovery monitoring for emergency response agencies.
Technical case studies, monitoring reports, and applied research demonstrating our capabilities in real-world geohazard scenarios.
Multi-temporal InSAR analysis revealing progressive wall displacement and identifying precursory acceleration patterns 8 weeks before visible cracking.
Machine learning framework combining geological, hydrological, and satellite-derived features for regional-scale hazard zonation with 94% validation accuracy.
Integrated InSAR, GNSS, and IoT monitoring program detecting sub-centimeter settlement trends across a 2.5 km tailings embankment over 18 months.
Our team is ready to deploy satellite-based InSAR and AI-driven analytics to safeguard your mining assets and ensure structural integrity.
info@vyomterra.com
Hanamkonda, Warangal,
Telangana, India