SuperX is an innovative solution that integrates advanced deep learning based super-resolution and denoising AI models into satellite imagery. By fundamentally overcoming the inherent limitations of traditional satellite images, SuperX upscales low-resolution images.
A direct look at what post-disaster satellite intelligence can surface in the hours after an event, when situational clarity matters most.
On August 10, 2026, a magnitude 7.4 earthquake struck western Colombia, with severe damage reported across Pereira and several other cities in the country’s coffee-growing region. Two days later, SpaceEye-T passed over Pereira, and SuperX-enhanced imagery resolved the scale and detail of the damage — from citywide building density down to individual collapsed structures and debris fields.
A dense residential block in Pereira, bordered by a major arterial road. Within a single cluster of building footprints, several structures show clear roof and upper-floor collapse, with debris visible inside the building outlines rather than the surrounding streets — indicating the failures are largely contained to the structures themselves. Surrounding blocks, including a basketball court in the lower right, remain visually intact by comparison.
At this scale, a single frame captures both the citywide building layout and the specific footprint of a multi-structure collapse — useful for immediately flagging which blocks require priority ground assessment before resources are dispatched.
SpaceEye-T-derived data © [2026] Satrec Initiative (Originally licensed under CC BY 4.0)
· Source: SpaceEye-T (GSD 0.25m)
· Location : Pereira, Risaralda, Colombia
A large-span building with a distinctive geometric roof shows visible structural failure — sections of the roofline are broken and displaced. Immediately adjacent, a debris field consistent with a partially or fully collapsed structure is visible, along with vehicles gathered nearby. Resolving roof-level structural failure from orbit is one of the clearest indicators satellite imagery can provide for prioritizing on-the-ground inspection.
SpaceEye-T-derived data © [2026] Satrec Initiative (Originally licensed under CC BY 4.0)
· Source: SpaceEye-T (GSD 0.25m)
· Location: Pereira, Risaralda, Colombia
At a street-level intersection near a park, a substantial debris pile spans the roadway, with heavy equipment (visible in yellow) positioned at the site — consistent with active clearance or search operations. Surrounding buildings, including several with light-colored industrial roofing, appear structurally intact by comparison, illustrating the block-by-block variability in damage that ground teams have to navigate.
SpaceEye-T-derived data © [2026] Satrec Initiative (Originally licensed under CC BY 4.0)
· Source: SpaceEye-T (GSD 0.25m)
· Location: Pereira, Risaralda, Colombia
A main road corridor shows dense vehicle congestion at dusk, running alongside a park area and a mix of residential and commercial buildings. Restricted road access is a recurring bottleneck in disaster response, and monitoring corridor congestion from satellite imagery helps identify which routes remain viable for emergency and relief traffic.
SpaceEye-T-derived data © [2026] Satrec Initiative (Originally licensed under CC BY 4.0)
· Source: SpaceEye-T (GSD 0.25m)
· Location: Pereira, Risaralda, Colombia
Four cuts from a single satellite pass, taken 48 hours after the earthquake: a citywide density map, a confirmed structural collapse, an active clearance site, and a congested access corridor. Together, they sketch the kind of rapid, orbit-based picture that response coordination depends on before ground teams can cover the same area.
SuperX doesn’t just sharpen pixels — it helps responders see clearly when it matters most.
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