Technical field notes

The agent conversation is missing a continent→

Why I gave a methane talk at an AI conference, and the six architectural pillars an AI agentic operating system needs to run complex physical operations.

Methane Management Has a Spatial Problem→

Methane sensing has matured, but mitigation will not scale without a standard spatial foundation. Peer-reviewed research on equal-area grids for emissions.

SensorUp + GHGSat: OGMP 2.0-Ready Workflow→

How the SensorUp and GHGSat integration turns satellite methane detection into an actionable, OGMP 2.0-ready workflow for operators, from the ground to space.

Where Human Judgment Fits in the Age of AI→

From a SAGE keynote: why human judgment and meaning stay essential as AI, IoT, and digital twins reshape how we sense and act on the physical world around us.

What the OGC EmissionML Standard Is and Isn't→

The OGC EmissionML standard is a data model and ontology, not an MMRV protocol, a reporting format, an AI model, or software. What it is, and what it isn't.

How Do We Build a Planetary Nervous System?→

Lessons from the Frascati Pathway on building a Global Environmental Data Strategy: shared standards, AI, high-level ontologies, and uncertainty as a feature.

The Missing Link in Emissions Reconciliation→

Aerial and continuous monitoring found the emissions. Reconciling them to specific equipment is the bottleneck, and it needs a living inventory you can query.

OGC EmissionML Working Group: Kickoff Summary→

Emissions data is scattered across spreadsheets, PDFs, and proprietary tools. A summary of the OGC EmissionML Standard Working Group kickoff, and what's next.

AI and Methane: Start With the Data Standard→

AI's potential in methane management rests on a standardized data foundation. Without it, insights stay unreliable and every downstream decision suffers.