Advancing marine data science — from ocean model infrastructure to inlet safety and AI-powered geographic verification.
What the Satellites Actually See — and What Gets Lost in Translation
A comprehensive introduction to sea surface temperature data: its 200-year history, modern satellite collection, the cloud gap problem, how interpolation fills gaps by inventing data, and why Pelagic Insight prioritizes raw observations and temp break detection over smooth HD imagery.
Why the US Must Invest in Model Infrastructure
The United States continues to pour resources into aging buoy networks while Europe builds world-class ocean forecast models. A deep analysis of the 2× resolution gap, budget failures, and the path forward for American ocean prediction.
Data Access Challenges in U.S. Inlet Hydrographic Surveys
130 inlets analyzed, 53 with no survey data, 30+ incompatible coordinate systems. How archaic data infrastructure at USACE puts recreational boaters at risk — and what Pelagic Insight built to fix it.
Satellite Imagery Meets Machine Learning for Federal Data QA
73% of GNIS inlet coordinates were wrong. We used satellite imagery and vision AI to audit 130 inlets in 10 minutes — finding and correcting a systematic bias in a foundational federal database.