April 22, 2026
Sunshine meets snark
3.4M Solar Panels
US solar map gets bigger and louder: “Cool, but show the receipts”
TLDR: A new U.S. solar map now counts 3.4 million panels and adds rooftops, but commenters demand clearer per‑panel info, better visuals (per‑capita, please), and context—especially as China’s daily installs dwarf the tally. It matters because data guides policy, yet the crowd wants transparency and honest comparisons.
The U.S. just dropped a glow-up of its national solar map: the GM‑SEUS dataset now tracks 3.4 million panels and even adds rooftop arrays. The creator flexed a monster PC and mapping tools to crunch it all. But the comments? They’re the real power source here—and they’re buzzing.
One camp is cheering the scale-up while demanding details, details, details. As one user puts it, “tell us what’s in there per panel” and how those researchers from NOAA (weather), NASA (space), and the USGS (geology) actually built it. Another thread drags the pretty heatmaps for looking like “just a population density map,” with calls for per‑capita views and an XKCD classic to prove the point. The nerdier corners are begging for histograms of panel angles—who knew tilt drama could be this spicy?
Meanwhile, the global reality check hits hard: one commenter says China installs three times this data set’s panel count every day, linking to a jaw‑dropper of a story. Others marvel at how dirt‑cheap panels have gotten, dropping an AliExpress link like a mic. The vibe: “Cool map, but don’t oversell it—and give us real metrics.” It’s equal parts excitement, skepticism, and memes, and honestly, the comments might have outshined the sun.
Key Points
- •GM-SEUS v2 was released, increasing coverage from 2.9 million to over 3.4 million solar panels in the U.S.
- •The update includes refreshed ground-mounted arrays and a new rooftop arrays dataset.
- •The workflow uses GDAL 3.9.3, DuckDB (with H3, Lindel, JSON, Parquet, Spatial), and QGIS 4.0.1 for mapping.
- •The dataset is downloaded from Zenodo (3.4 GB ZIP), with GPKG files extracted and identified as using an Albers Equal Area projection.
- •Rooftop arrays were converted to Parquet via DuckDB, with v1.4.4 required for the COPY step due to exceptions in v1.5.1.