Satellite Property Monitoring: How to Know Exactly Where to Inspect First
If you manage more than a handful of properties — buildings, solar arrays, land parcels, job sites, fields — you face the same problem: you can't inspect everything, all the time. So which ones get a visit this week? Most teams guess, rotate on a schedule, or wait for something to break.
Satellite property monitoring flips that. Every few days, public Earth-observation satellites pass over nearly every spot on the planet and capture imagery for free. Turn that into the right map and you get a single, practical answer: what changed, and where should someone look first.
How it actually works
The analysis runs on measured signals from the imagery — no guesswork:
- Vegetation vigor (NDVI): healthy plant growth reflects light a specific way. Map it and the lower-vigor zones stand out — the blocks, fields, or edges worth walking first.
- Moisture indicators: relative wetness/dryness across a property, pass to pass.
- Change detection: compare two dates and the map shows exactly where the ground, vegetation, or structures shifted — new clearing, encroachment, construction progress, damage.
What it tells you — and what it doesn't
This is where most "AI satellite" pitches oversell. We're deliberate about the line:
That honesty is the point. A map that sends you to the right 10% of a property — and is upfront about what it can't see — saves real labor and catches problems earlier, without pretending to be a lab result.
Who it's for
The same engine serves any property where "where do I look first" matters:
Try it on your own property
The fastest way to see whether this is useful is to run it on a property you know. The first scan is free — you'll get a health/change map and a priority inspection map, and you can judge it against what you already know is true on the ground.
Get a free scan of your property →ARUBIA turns free public satellite data into simple, honest property intelligence: what changed, and where to look first. Built on Sentinel-2 and open data.