Custom super-resolution, EO analytics, and sensor design
Beyond self-serve processing, GammaEarth applies its Deep Resolution methods to imagery from any source — satellite, aerial, or drone — builds custom EO analytics on top, and delivers sensor-level engineering. All services are scoped and priced on request.
Super-resolution for any sensor, not only Sentinel-2
GammaEarth's Deep Resolution methods are not limited to Sentinel-2. We apply super-resolution to imagery from any source — commercial satellite constellations, proprietary sensors, aerial, and drone platforms — adapting the model to the characteristics of your data.
Built on operational experience with commercial constellation and aerial imagery.
Information layers, not just sharper pixels
Custom AI-based analytics built on GammaEarth's super-resolution imagery. We turn Deep Resolution output into task-specific information layers — resolving not just finer pixels, but what is actually on the ground.
Land use and land cover maps — on demand at 10 m or 1 m, with a flexible classification scheme: a standard taxonomy (FAO LCCS, ESA WorldCover, CORINE) or one you define. Delivered as GeoTIFF or vector, with a class legend and metadata.
Custom analytics — task-specific models developed to your specification, such as boundary detection, crop classification, and change detection.
Super-resolution embedded in the sensor, not applied after it
GammaEarth holds a patent-pending design for an AI-native super-resolution sensor — an architecture where super-resolution is embedded at the sensor level rather than applied as post-processing. The approach is platform-agnostic: satellite, aerial, or drone.
The result is smaller, lighter imaging systems that deliver high-resolution output without the traditional trade-offs in optics and data volume.