Yulin Naval Base in Satellite Imagery: AI-Assisted Vessel Counts

We ran six Vantor satellite images of Yulin Naval Base on Hainan through Wherobots RasterFlow and SAM3, then measured and checked every large detection.

El Niño 2026, atmospheric rivers, and California’s burn scars: one SQL engine, two data models

7,713 mapped building footprints sit inside or within 500 m (1,640 ft) of the 42 Eaton basins USGS rates high hazard for debris flows, and 388 km (241 mi) of mapped road and path cross the low ground below the scar. WherobotsDB finds both in SQL: a join to the USGS basins for the buildings, and a raster vector join over elevation for the roads.

Measuring the Strait of Hormuz shutdown with Sentinel-2, WherobotsDB and Overture Maps

WherobotsDB read 719 Sentinel-2 scenes in place, fetched about 1.5 GB of the 151 GB, and joined the detections against Overture Maps land polygons to measure a 95% fall in traffic through the Strait of Hormuz corridor. Loading at Kharg and waiting at Fujairah held at 2025 levels, and the analysis cost about $63.

How to score every building in a state for catastrophe risk: an exploration project

Part 1 of a series: What’s possible? I didn’t start this project to build a real risk model, not one that can be used by an insurer tomorrow. But it is a workflow that an insurer can put into practice to create their own risk scores with Wherobots and their own expertise. The idea was […]

Learning Wherobots by Building a National AI Data Center Suitability Report

This guest post is from a Wherobots user George Chandeep Corea, which covers an exploration of how he used Wherobots MCP with his preferred AI coding tools to build the interactive AI data center site suitability analysis tool below. The following quote is from his own biography. Learning by Doing Below is a working national […]

From the Spokane firestorm to all of Washington: real-time wildfire monitoring for under $50 a pass

The moment a satellite pass lands, this pipeline turns it into a burn-severity map in 14 minutes: real-time wildfire monitoring with Python and Spatial SQL that protects lives and assets, shown on the Spokane firestorm and scaled to the entire state of Washington.