How We Delivered “Fields of The World” with RasterFlow: A Planetary-Scale GeoAI Pipeline

See how we used RasterFlow to run a 100TB+ global GeoAI pipeline, from feature mosaics to predictions and vectors, with reproducible workflows.

How well does SAM3 detect building footprints? Let’s ask the Wherobots Spatial AI Assistant!

In a recent post, we showed how easy it is to use RasterFlow and Meta’s Segment Anything 3 Model (SAM3) to detect features in the physical world. A single end-to-end pipeline built a 133 GB NAIP mosaic of Marion County, Oregon, ran SAM3 against it with text prompts spanning eight classes, and produced approximately one […]

Wherobots MCP Server: Building GEOINT Spatial Pipelines with AI Agents

I built three national-security GEOINT use cases on the Wherobots stack in days instead of weeks. A Critical Infrastructure Vulnerability (CIV) pipeline with two regional variants, plus a border-corridor analysis on real transportation segments. The Wherobots geospatial MCP server is what made that timeline possible. Most of the work in standing up a credible use […]

Change Detection Using AlphaEarth Foundations (Part 2)

Continue exploring how Alpha Earth Embeddings reveal change over time using scores.

AlphaEarth Embeddings, Zonal Statistics, and PCA

Aggregate AlphaEarth embeddings over Iowa fields and visualize them with PCA.

Introducing the Wherobots Python SDK

What is the Wherobots Python SDK? The Wherobots Python SDK is a typed Python client for submitting, monitoring, and managing Wherobots job runs. It ships on PyPI as wherobots-python-sdk. One install, one API key, and you’re running spatial jobs from any Python environment: CI/CD pipelines, notebooks, a local shell. The SDK is built for three […]

Detecting Objects From Text Prompts with RasterFlow and Segment Anything 3

Exploring the capabilities of Segment Anything 3 on high-resolution Earth observation data.

Spatial Data Processing Platforms: A Comparison of Enterprise and Cloud-Native Options

For Data Engineers and Architects Evaluating Spatial Workloads on Snowflake, Databricks, and PostGIS Six platforms dominate spatial data processing today: PostGIS  for transactional workloads under 100GB, Snowflake and BigQuery GIS for light spatial enrichment inside a broader analytics platform, Databricks  for vector spatial joins on the Lakehouse, Apache Sedona for self-managed open-source distributed spatial compute, […]