Methane Leak Scan

AI-driven geospatial analytics process satellite imagery to pinpoint methane leaks and quantify GHG emissions in real-time across energy infrastructure.

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How does it work?

Unreported methane leaks from pipelines and facilities drive significant greenhouse gas emissions and regulatory non-compliance risks. AI-based geospatial monitoring automates detection and quantification, enabling rapid response and accurate emission reporting.

Real-Time Detection: Continuous analysis of satellite imagery flags methane plumes within hours of occurrence. This rapid detection minimizes environmental impact and operational downtime.
High-Resolution Mapping: High-resolution geospatial data pinpoints leak locations to within meters. Detailed plume imagery supports targeted repairs and infrastructure audits.
Accurate Emission Quantification: Advanced AI models convert plume intensity into precise emission rates. Operators gain reliable data for inventory management and carbon accounting.
Regulatory Compliance: Automated emission reports align with EPA and EU regulatory frameworks. This simplifies compliance documentation and reduces the risk of fines.
Operational Efficiency: Remote leak monitoring reduces the need for manual patrols and aerial surveys. Teams can allocate field resources more effectively and lower inspection costs.
Scalable Coverage: Cloud-based processing handles imagery from multiple satellite constellations. The platform scales from single sites to global asset portfolios.

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 compare to traditional ground-based sensors?: Ground sensors provide point measurements but require physical installation and maintenance. Geospatial analytics cover wide areas remotely and detect leaks in inaccessible locations.
How does satellite detection compare to aerial surveys?: Aerial surveys offer high resolution but are expensive and limited by flight schedules. Satellite analytics run continuously and scale to broad regions at lower cost.
Why is AI-driven monitoring popular in the energy sector?: Energy companies value fast, automated detection that reduces undetected emissions and compliance risk. AI models process vast imagery datasets efficiently and flag leaks with minimal manual review.
Are there alternatives to AI-based detection?: Alternatives include handheld sensors, drones with thermal cameras, and periodic ground patrols. These methods can be effective locally but lack the coverage and automation of AI geospatial platforms.
Can small leaks under tree cover be detected?: Detection sensitivity depends on plume size and imaging resolution. While dense vegetation can obscure smaller emissions, multi-spectral analysis improves plume identification in partially covered areas.
What are the limitations of satellite imagery for methane monitoring?: Cloud cover, revisit frequency, and spatial resolution can limit detection of brief or low-intensity leaks. Integrating multiple data sources and temporal analysis helps mitigate these constraints.

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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