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What
We collect wide-swath imagery across 22 calibrated spectral bands and calibrate every capture.
Cananea, Mexico · near-infrared false colour
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How
We use the same orbits, altitudes, viewing angles, sensors, and satellites for every capture, so images stay consistent day to day.
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When
We collect nadir images at the same solar time each day, aligned to the images before them.
Alexandria, Egypt · vessels at anchor
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Geolocation
Geolocation details: GeolocationWe place each pixel at its correct position on Earth, with sub-metre absolute accuracy.
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Geometric consistency
Alignment details: Geometric consistencyThe same field lines up from image to image and from satellite to satellite, so field boundaries stay in place.
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Radiometric consistency
Calibration details: Radiometric consistencyEach pixel records reflected light on the same absolute scale, with calibration corrected in flight.
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Temporal frequency
Revisit details: Temporal frequencyDaily revisit with no tasking queue gives you a dense series, so you see change within days.
- Region
- Iowa · Corn Belt
- Layer
- NDVI
- Date
- Apr 30
- NDVI
- 0.18
Same frame · pixels locked
Daily revisit
The constellation images the whole planet every day, so you get each location on a predictable schedule without joining a tasking queue.
- Daily global coverage: a new image of each location every day
- No tasking: each observation is already scheduled
- About 30 images a month of each location
Daily frequency puts the other three properties to use across a full time series.
Same solar time and viewing angle
Each pass happens at the same solar time and viewing angle, so illumination and geometry stay constant from one day to the next.
- Consistent sun angle across acquisitions
- Consistent viewing angle, so shadows and shapes match
- Differences between dates show real change on the ground
Comparable geometry lets a model compare two dates directly.
A dense time series
With an observation every day, you measure the actual trajectory instead of interpolating between distant points.
- Capture short-lived events that a sparse series misses
- Resolve individual crop growth stages
- Keep the series usable when cloud removes individual days
Models fit the measured signal across the season.
Change detection within days
With a new image every day, you detect change as it happens and attribute it to a specific date.
- Detect construction, flooding, and harvest in near real time
- Attribute change to a date instead of a range
- Alert on deviation from the expected curve
Act on change while the decision is still open.
Built for automation
A predictable daily cadence and analysis-ready delivery give your pipelines and models a consistent input.
- Predictable delivery your pipeline schedules against
- Analysis-ready on arrival
- Cross-calibrated across the constellation
A consistent, AI-ready time series for your pipelines.
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Reliable change detection
Changes you detect are changes on the ground.
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Reliable cloud masks
Multi-band calibrated cloud masking.
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Environmental analytics
Flood, water, vegetation, and anomaly detection.
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AI-ready time series
Consistent data for model training and monitoring.
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Interoperability
Direct comparison with Sentinel-2 and Landsat data.