Blog

Today the Plotline, the food climate and data community organized by Earth Genome, is launching Food Twin, a proof of concept digital twin of the United States food system.

There are now several AI “foundation models” for Earth Observation (EO) data.

Imagine if we had access to a true “genome” for the Earth, an actionable blueprint that distilled the tsunami of data we collect about the planet.

With the vector search landscape changing daily, identifying a vector database to be the backbone for earth observation similarity search at a reasonable cost has proven to be a challenge.

The Plotline, Earth Genome’s food and climate project, recently published an interactive map visualizing crops that grow across the United States at 10 by 10 meter resolution.

Today’s AI is not sufficient for today’s environmental challenges.

We’ve recently published a map based story on this past winter in California and a tool that’s helping farmers capitalize on the influx of water to recharge aquifers and store water for future dry seasons.

In this blog post we walk through some of our initial explorations using AI interfaces to solve geospatial problems.

I am excited about dot grid maps. And I’m surprised that we don’t see more of them. Dot grids are a clear, informative, multidimensional and flexible cartographic technique.