Spatial Intelligence for Real Estate
GeoValida AI turns a bounding box into a full spatial intelligence report: livability heatmaps, ranked land opportunities, isochrones, terrain slope, anomaly regimes, and an analyst-grade acquisition brief. In minutes.
Open the AppReal satellite data - lagoinha - hover to pause, click any layer to explore
How it works
Draw an area, pick a time window. The pipeline runs without any manual steps.
Draw any bounding box on the map. Pick the analysis period, typically one to three years. Set the intended project type. Any location, any country, no setup required.
Sentinel-2 and Landsat imagery is downloaded from Google Earth Engine and built into monthly composites for four spectral indices: NDVI (vegetation), NDBI (built surface), LST (heat), and Albedo. A dual baseline is then computed: one conservative window anchored to the original land state, one adaptive window tracking recent behavior. The gap between them is the core anomaly signal.
XGeoML decomposes the area into spatially coherent regimes via SKATER clustering. Each zone is attributed to its dominant driver using SHAP: thermal stress, vegetation loss, construction expansion, or albedo shift. Empty plots are then detected across six data sources and scored on vegetation gain, surface cooling, amenity access, urban momentum, and terrain.
A decision signal per zone: INVEST, WAIT, PROCEED, or AVOID. A ranked list of buildable plots with per-component scores. A 400-word analyst brief covering development dynamics, risk factors, zone reads, and a concrete acquisition recommendation.
Run your first site analysis in minutes. No remote sensing expertise required.
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