Screen parcels across three states. Build your prospecting pipeline in one session.

In this session, we screen agricultural parcels across Texas, Arizona, and Nevada for utility-scale solar development. We filter for parcels over 10 acres with no existing structures, within 2 km of a road, and outside flood zones. Then we score them by proximity to existing satellite-detected solar installations.

The proximity scoring is the differentiator. Wherobots ingests AI-detected solar farm locations from Satlas satellite imagery, so you get a signal for favorable grid interconnection and regulatory precedent baked into the ranking, not added later as a separate step.

The output is a prospecting map: existing farms in yellow, candidate parcels in green, and pulsing borders on new-this-quarter opportunities.

Datasets used

  • Regrid: parcel zoning, acreage, valuations, and ownership
  • Solar Satlas: satellite-detected solar installations
  • Overture buildings: conflict avoidance
  • Overture transportation: road access

The workflow runs quarterly

Each quarter you refresh the screen across your target states and get an updated candidate list with new opportunities flagged. Bring grid interconnection points and irradiance data and the same workflow extends into capacity and revenue modeling.

Bonus for attendees

Sign up for a Pro trial within 7 days of attending and get a free 30-minute 1-on-1 session with a Wherobots spatial data engineer to adapt this demo to your data.

About the series

This is session 4 of our MCP live demo series. Check out the other sessions below: