This is like a time-lapse security camera in the sky that automatically spots when large building or infrastructure projects start, progress, or finish—using many satellite photos taken over time, even when they come from different satellites and look slightly different.
Manually monitoring large areas for new or ongoing heavy construction (e.g., roads, buildings, industrial sites) from satellite images is slow, expensive, and inconsistent. Geowatch automates the detection of construction activity across time so governments, construction firms, and analysts can track projects and land-use changes at scale.
If deployed operationally, the main moat would come from labeled multi-temporal satellite datasets, region-specific models, and integration with geospatial workflows rather than off-the-shelf models alone.
Fine-Tuned
Time-Series DB
High (Custom Models/Infra)
Access to high-cadence, multi-source satellite imagery and the cost of labeling/maintaining large geospatial time-series datasets.
Early Adopters
Focuses specifically on detecting heavy construction from heterogeneous (multi-sensor) satellite image time series, rather than generic land-use classification or single-image change detection.