On June 24, 2026, northern Venezuela was struck by two back-to-back earthquakes, a magnitude 7.2 event and, under a minute later, a magnitude 7.5 mainshock. Using NASA’s NISAR satellite, scientists then mapped how the ground moved by comparing post-quake radar passes (June 25 and June 30) against pre-quake images (June 13 and June 18). In the areas around Caracas and La Guaira, the displacement was especially intense, with westward surface displacement along parts of the fault reaching as much as 60 centimeters (24 inches).

The speed mattered, too. Those displacement maps were provided through NISAR’s Urgent Response (UR) system, a fast-track process that can deliver data within 12 to 24 hours to support disaster response. NASA also notes that UR maps are preliminary until they are later reprocessed with precise orbit information, typically within a day or two. This marks the first time the NISAR UR system has been used to map surface displacement from a large earthquake.

So what exactly did NISAR see, and why does it read like an engineering story, not just a science one? The mapping relied on a technique called InSAR (interferometric synthetic aperture radar), which compares repeat passes to detect subtle changes in the distance between the satellite and the ground. NISAR views Earth at an angle, about 40 degrees from straight down, so it can capture a mix of horizontal and vertical displacement. In the resulting color map, red indicates ground moved east and up; blue indicates movement west and down. Because the earthquakes occurred on a strike-slip fault, the map shows that most displacement was horizontal, essentially east and west rather than vertical lift or sink.

The fault geometry also shows up in the pattern. White areas indicate little to no land displacement, including a thin strip near the middle-left of the scene close to Morón, marking roughly where the fault ruptured at depth. The fault is part of a network of fractures along the boundary between the Caribbean plate to the north and the South American plate to the south. Scientists say faults along this plate boundary, including the San Sebastián fault system where these quakes likely occurred (and possibly part of the Boconó system), have long been accumulating strain.

The displacement map doesn’t just summarize “the earth moved.” It traces how the rupture behaved. The fault rupture propagated offshore toward the east and then back onshore near the international airport north of Caracas, marked by a narrow white band between areas of westward and eastward displacement. Just south of this fault section, the deep blue color indicates that westward surface displacement was far greater than elsewhere, reaching up to 60 centimeters (24 inches). That spatial mismatch is exactly the kind of detail that changes how responders and analysts interpret damage severity across a region.

NASA ties those patterns to what people on the ground faced. “These are reasons why the damage in Caracas and La Guaira was so extreme,” said Eric Fielding, a geophysicist at JPL who provided the maps, adding, “InSAR tells us a lot about what happened during this earthquake.” The immediate operational relevance is reinforced by how the data gets used after the colors hit the screen. Using NISAR data, the U.S. Geological Survey refined its fault-slip model, or “finite fault model,” to better constrain how the fault slipped at depth, including along the rupture’s eastern section. “That is extremely helpful for the people who need to understand why damage was so severe in that area,” Fielding said.

From an executive perspective, the real story here is not just that satellites can detect displacement. It is the new operational tempo. NISAR UR’s predicted orbit information enables rapid processing, but because predicted orbits can differ from reality, the UR outputs are preliminary until reprocessed with precise orbit information, typically within a day or two. That trade-off is the same tension many organizations know in their bones: speed to support decisions now, followed by accuracy upgrades once better inputs arrive.

And because this is the first time the NISAR UR system has been used for a large earthquake surface displacement map, it is also a precedent for how disaster mapping pipelines might behave going forward. If you lead a response organization, fund resilience programs, or sit on a board overseeing geospatial or infrastructure risk work, this is a reminder that the winners are often those who compress time-to-understanding. The maps show where the ground shifted, how strike-slip dynamics concentrated horizontal motion near key coastal and urban areas, and why damage patterns can be extreme in specific corridors. In the post-earthquake window, that kind of specificity can be the difference between generic assessment and targeted, constrained decisions.

Story by Kathryn Hansen. NASA Earth Observatory map by Lauren Dauphin, using data provided Eric Fielding and processed by the NISAR science team at NASA’s Jet Propulsion Laboratory (JPL).