MIQSARS

Problem

Methane is a highly potent greenhouse gas, and an estimated 60% of global methane emissions are human-caused, primarily from energy, agriculture, and waste sectors. Yet many operators still lack reliable, scalable, and timely tools to see where methane is leaking and how emissions evolve over time. Traditional ground-based monitoring alone cannot provide the spatial coverage, frequency, and quantification needed to meet tightening regulations and net-zero commitments. Without accurate detection and quantification, companies cannot prioritize repairs, validate reductions, or credibly report their climate performance.

Technology

MIQSARS – Satellite-Based Detection

• Uses advanced satellite image processing to detect and quantify methane plumes.
• Provides high-precision geo-tracking of emission sources, including three-dimensional observations of methane distribution.
• Employs AI/ML algorithms to distinguish true methane signals from noise, improve sensitivity, and refine quantification over time.
• Enables large-area and repeatable coverage, ideal for basin-scale monitoring, national inventories, and portfolio-level screening.

MIQDARS – Drone-Based Detection (in development)

• Extends detection capabilities to low-altitude, high-resolution drone platforms.
• Designed for zoom-in inspections of assets identified by satellite (e.g., facilities, pipelines, well pads, landfills).
• Provides flexible deployment in complex terrains or sensitive environments where ground access is limited.

Analytics & Delivery Layer

• Real-time analytics and dashboards showing where emissions occur and how much methane is being released.
• Integration with companies’ ESG reporting, MRV (Monitoring, Reporting, Verification) workflows, and regulatory compliance tools.
• Built to support continuous improvement, feeding new data back into AI models for better accuracy and trend analysis.