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3.6° N · 705 km · swath 185 km

Inclination 98.21° · retrograde, sun-synchronous

Satellite

Footprint

Mapping drone

L0 · Raw instrument counts

L1 · Calibrated, geolocated

L2 · Analysis-ready: reflectance or backscatter

L3 · Composite of many acquisitions

Catalog

Collection

Item · one scene

Assets · COG bands, metadata

COG overviews · coarse to full resolution

Ground station · tracking antenna

Bow Valley, Alberta

Intro.

Earth observation & GeoAI · Explainer

From orbit to a tile you can query.

Seven steps of an Earth-observation chain, each worked live: the orbit that sets the revisit, the geometry that sets the resolution, the pass that sets the data volume, the processing levels, a change-detection pass, a drone campaign and the catalogue that serves it. Every number below is computed live from your inputs.

01 · Orbit and revisit

Altitude sets the inclination, the period and the revisit.

A sun-synchronous orbit precesses with the Sun, about 0.9856° a day, so every pass crosses a latitude at the same local time. The Earth’s oblateness supplies the precession, so altitude fixes the inclination: cos i = −2Ω̇a7/2 / (3J₂Re²√μ). Kepler gives the period, T = 2π√(a³/μ). With the swath and the orbits a day, that sets how long the equator takes to cover at nadir.

Sun-synchronous inclination
98.21°
Orbital period
98.9 min
Orbits per day
14.56
Track spacing at the equator
2,759 km
Equator fully covered every
14.9 days

02 · Acquisition geometry

Radar measures range. Optics measure angle.

A synthetic aperture radar looks sideways and resolves the ground by the timing of its echoes, so its ground resolution improves as the incidence angle grows. An optical imager resolves by angle, so its pixels stretch as it points away from nadir. Radar slant-range resolution is c/2B and its ground-range resolution divides that by sin θ; the optical across-track pixel grows as 1/cos²θ.

Sensor

Chirp bandwidth

Slant-range resolution
1.50 m
Ground-range resolution
2.61 m
Slant range to the scene
861 km

03 · Downlink

The elevation mask decides how much data comes down.

A ground station can only work a satellite above its elevation mask: terrain, buildings and the atmosphere set it. The pass is the arc of the orbit above that cone; its length times the link rate is the data volume. The overhead pass is the longest: the Earth central angle λ = arccos(Re cos ε / (Re + h)) − ε sets it, and every pass off the ground track is shorter.

Downlink rate

Longest pass (overhead)
11.7 min
Slant range at the mask
2,574 km
Data per pass
52.5 GB

04 · Processing levels

From raw counts to analysis-ready data.

Level 0 is the instrument’s raw stream. Level 1 is calibrated and located. Level 2 is a physical quantity per pixel, surface reflectance or backscatter, and is analysis-ready when it meets the CEOS ARD requirements. Level 3 composites many acquisitions into one. A scene’s volume is its pixels times bands times bit depth.

Scene width

Steps: 1 · 3 · 10 · 20 · 30 · 60 m

Bands × bit depth

Pixels per band
100.0 M
Raw volume per scene
1.95 GB
As a COG, 2:1 lossless
975.0 MB

05 · GeoAI change detection

A threshold trades missed changes for false alarms.

On the Bow Valley terrain, slope failures are seeded on ground steeper than 32°, and a detector scores every analysis cell (369 × 590 m). Raise the threshold and false alarms fall while misses rise. Red cells are detections; outlined cells are the seeded failures.

Seeded slope failures
66
Detections
78
Precision · recall
68 % · 80 %
F1 score
0.74

06 · Drone campaign

Ground sample distance is a flight plan decision.

For a mapping camera, the ground sample distance is sensor width times altitude over focal length times image width. Altitude and overlap then set the line spacing, the photo count and the time in the air.

Camera class

Ground sample distance
2.74 cm
Line spacing
37.5 m
Photos per km²
1,067
Flight time per km² at 10 m/s
44.4 min

07 · Catalogue and tiles

STAC finds the scene. COG serves only the pixels you ask for.

A SpatioTemporal Asset Catalog describes every scene as an item with assets. A Cloud-Optimized GeoTIFF stores overviews and internal tiles, so a client reads a few kilobytes over HTTP range requests instead of the whole file. At zoom z a Web Mercator pixel spans 2πR / (256 · 2z) at the equator.

Map pixel at the equator
38.2 m
Overview read for a 10 m image
Overview 1 (20 m)
Tiles for a 1024 × 768 view
20
Loading the scene…
Earth observation & GeoAI · Explainer

From orbit to a tile you can query.

Seven steps of an Earth-observation chain, each worked live: the orbit that sets the revisit, the geometry that sets the resolution, the pass that sets the data volume, the processing levels, a change-detection pass, a drone campaign and the catalogue that serves it. Every number below is computed live from your inputs.

01 · Orbit and revisit

Altitude sets the inclination, the period and the revisit.

A sun-synchronous orbit precesses with the Sun, about 0.9856° a day, so every pass crosses a latitude at the same local time. The Earth’s oblateness supplies the precession, so altitude fixes the inclination: cos i = −2Ω̇a7/2 / (3J₂Re²√μ). Kepler gives the period, T = 2π√(a³/μ). With the swath and the orbits a day, that sets how long the equator takes to cover at nadir.

Sun-synchronous inclination
–
Orbital period
–
Orbits per day
–
Track spacing at the equator
–
Equator fully covered every
–
02 · Acquisition geometry

Radar measures range. Optics measure angle.

A synthetic aperture radar looks sideways and resolves the ground by the timing of its echoes, so its ground resolution improves as the incidence angle grows. An optical imager resolves by angle, so its pixels stretch as it points away from nadir. Radar slant-range resolution is c/2B and its ground-range resolution divides that by sin θ; the optical across-track pixel grows as 1/cos²θ.

Sensor
Chirp bandwidth
Slant-range resolution
–
Ground-range resolution
–
Slant range to the scene
–
04 · Processing levels

From raw counts to analysis-ready data.

Level 0 is the instrument’s raw stream. Level 1 is calibrated and located. Level 2 is a physical quantity per pixel, surface reflectance or backscatter, and is analysis-ready when it meets the CEOS ARD requirements. Level 3 composites many acquisitions into one. A scene’s volume is its pixels times bands times bit depth.

Scene width
Steps: 1 · 3 · 10 · 20 · 30 · 60 m
Bands × bit depth
Pixels per band
–
Raw volume per scene
–
As a COG, 2:1 lossless
–
05 · GeoAI change detection

A threshold trades missed changes for false alarms.

On the Bow Valley terrain, slope failures are seeded on ground steeper than 32°, and a detector scores every analysis cell (about 370 × 590 m). Raise the threshold and false alarms fall while misses rise. Red cells are detections; outlined cells are the seeded failures.

Seeded slope failures
–
Detections
–
Precision · recall
–
F1 score
–
06 · Drone campaign

Ground sample distance is a flight plan decision.

For a mapping camera, the ground sample distance is sensor width times altitude over focal length times image width. Altitude and overlap then set the line spacing, the photo count and the time in the air.

Camera class
Ground sample distance
–
Line spacing
–
Photos per km²
–
Flight time per km² at 10 m/s
–
07 · Catalogue and tiles

STAC finds the scene. COG serves only the pixels you ask for.

A SpatioTemporal Asset Catalog describes every scene as an item with assets. A Cloud-Optimized GeoTIFF stores overviews and internal tiles, so a client reads a few kilobytes over HTTP range requests instead of the whole file. At zoom z a Web Mercator pixel spans 2πR / (256 · 2z) at the equator.

Map pixel at the equator
–
Overview read for a 10 m image
–
Tiles for a 1024 × 768 view
–