How AURA reads a site from space
A plain-English tour of the three satellite datasets behind every analysis, Sentinel-2 imagery, SRTM elevation, and ESA WorldCover land cover, and how they combine into one picture of your parcel.
From the Team
Field notes from the team building AURA, plain-English guides to satellite data, site analysis, and the methodology behind every score. Full articles are landing soon; here's what's coming.
A plain-English tour of the three satellite datasets behind every analysis, Sentinel-2 imagery, SRTM elevation, and ESA WorldCover land cover, and how they combine into one picture of your parcel.
Our score isn't a magic number. Here's the weighted, multi-criteria model behind it, what goes in, how it's balanced, and why we always show the reasoning so you can defend it.
The Normalized Difference Vegetation Index sounds intimidating. It isn't. Learn what those green-to-red maps really tell you about a site, and where they can mislead.
Elevation and slope decide what you can build and what it'll cost. We break down how AURA reads NASA's SRTM terrain data to flag buildable ground, and steep surprises.
The traditional site-screening workflow is a digital scavenger hunt across portals, GIS tools, and PDFs. Here's how we compressed it, and what that changes for early-stage decisions.
Five friends from Malaysia, one shared frustration with how slow good site research is. The honest story of what we're building, who it's for, and why we're sharing the journey as we go.