Name: Geopera Satellite Imagery Solutions
Brand: Geopera

Analysis-ready satellite imagery

Let us handle the processing. Get orthorectified, pansharpened, colour-balanced and mosaiced imagery from one automated preprocessing chain, Legato, included with every order.

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Seamless colour-matched farmland mosaic seen from above

Right now, people are using Geopera's imagery to

measure carbon across huge landscapes

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The pipeline

How we process every order

Every step below runs on this real order as you scroll — the same automated chain behind every delivery. Nothing manual, nothing skipped.

Captures come off the downlink as Level-1 products — 11-bit pixels in sensor geometry, with RPCs, ephemeris and calibration coefficients intact. Nothing is resampled until the geometry is solved.

scenes in block

1 / 3
gsd

0.30 m
bands

PAN + 4 × MS
bit depth

11-bit
Tie points are matched across every overlap, then a bundle block adjustment solves all captures into one relative frame. Scene-to-scene drift collapses to sub-pixel before anything else happens.

tie points

14,202
relative rmse

0.31 px
solution

bundle block
Refined RPCs are anchored to ground control and a DEM, and every pixel is map-projected. Supply GCPs or a base layer and the block adjusts to it — your survey is the reference, not the satellite's.

control residual

0.24 m
reference

your GCPs
dem

1 m DSM
crs

EPSG:32633
The panchromatic band carries spatial detail; the multispectral bands carry the radiometry. Fusion injects PAN detail into each MS band while preserving band ratios — downstream indices stay valid.

pan

0.30 m
ms

1.2 m · 4-band
fused

0.30 m · 4-band
spectral ratios

preserved
Top-of-atmosphere radiance becomes surface reflectance: aerosol optical depth is estimated per scene, then path radiance, haze and adjacency effects are modelled out. Values become physically meaningful — comparable across dates and sensors.

input

TOA radiance
output

BOA reflectance
aod @ 550 nm

0.18
sun elevation

52.3°
Clouds, cirrus and their projected shadows are detected per pixel. The masks do more than flag bad data — they tell the mosaic engine which scene can contribute clean pixels where.

cloud

4.6 %
shadow

1.9 %
clean coverage across block

100 %
Cutlines are solved as least-cost paths — through low-contrast terrain, around masked clouds, never across structures. Watch each line detour: the area it cuts off is re-sourced from the scene that is clean there.

cost terms

gradient · cloud mask
cloud crossings

0
route

least-cost
Scene radiometry is normalised across the block, seams feathered, and the result written as one continuous surface with no visible joins. That is Legato: every stage above tied into one automated flow — nothing manual between them, nothing skipped — and the seamless, join-free mosaic is the proof the whole chain ran. Automated QC signs off geometry, radiometry and coverage before it ships.

seam Δe

0.4
qc · geometry

pass
qc · radiometry

pass
process

Legato · gapless
delivery

COG · tiles · STAC

01 / 08

Source capture & ingest

Captures come off the downlink as Level-1 products — 11-bit pixels in sensor geometry, with RPCs, ephemeris and calibration coefficients intact. Nothing is resampled until the geometry is solved.

scenes in block: 1 / 3
gsd: 0.30 m
bands: PAN + 4 × MS
bit depth: 11-bit

TASKING

Instant pricing, delivery in under 24 hours

An easier way to order new imagery. Place tasking orders, get an instant price estimate, and download imagery into your workflow.

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Archive imagery search results beside a map with a drawn area of interest and its price

Archive imagery from 100+ sensors

Access archive imagery from 100+ sensors, at resolutions from 30 cm. Filter by resolution, acquisition mode, and processing level.

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See a processed order over your own area

Apply for a processed sample over your own area of interest, delivered with the QC report behind it, or talk to our team about your satellite imagery needs.

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