Volcanic Alerts

Real-time thermal anomaly detection on active volcanoes via satellite and UAV imagery, providing early warnings and risk mapping for emergency response.

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How does it work?

Volcanic eruptions often produce thermal signals that are obscured by clouds, limited sensor revisit times, and manual processing delays. Automated geospatial analytics integrate multispectral and SAR data to deliver timely, accurate anomaly alerts and improve hazard mitigation.

Real-Time Alerts: The platform processes satellite and drone imagery as soon as it’s available, triggering automated thermal anomaly notifications within minutes. Rapid alerts enable authorities to initiate evacuation protocols and resource deployment swiftly.
Multi-Source Integration: Combines optical, thermal and SAR satellites with UAV and ground sensor data in a unified analytics pipeline. This fusion overcomes individual sensor limitations and ensures comprehensive monitoring under diverse conditions.
Cloud-Penetrating SAR: Incorporates synthetic aperture radar to detect surface deformations and hotspots even through clouds and ash plumes. Continuous monitoring is maintained when optical sensors are obstructed, reducing data gaps.
Historical Trend Analysis: Archives and analyzes temporal datasets to identify evolving thermal patterns and precursory signals. Comparative insights support probabilistic eruption forecasting and long-term risk assessment.
Scalable Coverage: Automated pipelines process imagery across multiple volcanoes and volcanic fields at regional to global scales. Users can monitor dozens of sites simultaneously without manual intervention.
Custom Reporting: Generates configurable dashboards and geotagged anomaly maps with threshold-based alerts. Teams receive tailored notifications via email, SMS or API to align with existing operational workflows.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does this thermal detection compare to traditional field surveys?: It offers near-real-time coverage and broader spatial scope compared to time-consuming ground visits. Automated analytics reduce human error and provide consistent monitoring in hazardous zones.
Why is this AI-based solution more popular than static threshold methods?: Machine learning adapts to sensor noise and seasonal variations, reducing false positives common in fixed-threshold approaches. This dynamic calibration improves detection accuracy and operator confidence over time.
What alternatives exist besides thermal anomaly detection?: Many agencies use seismic networks, gas emission sensors and InSAR deformation analysis as complementary methods. Thermal analytics excels at directly capturing surface heat signals, filling gaps when other methods are inconclusive.
Are there limitations under dense cloud cover or heavy ash plumes?: Optical and thermal sensors can be obstructed, but integrated SAR data mitigates most gaps. However, extremely dense ash or intense precipitation may still delay detection.
How do data resolution and revisit rate affect monitoring?: Higher-resolution UAV imagery provides detailed hotspot mapping, while satellite revisit times may range from hours to days. Our platform ingests multiple sources to balance spatial detail and temporal frequency.
Can this system integrate with existing observatory tools?: Yes, it supports standard GIS formats, REST APIs and HDF5 exports compatible with popular monitoring software. This interoperability streamlines integration into established volcano observatory workflows.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

Boost your productivity. Experience Geospatial AI.

Turn satellite, drone, and sensor data into clear, real-time insights using powerful AI – no complex setup, just answers you can see and act on.

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