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Earth Observation Portfolio
Airbus is the go-to supplier for complete Earth observation satellite systems. Its comprehensive portfolio means Airbus is able to provide the right satellite and system for every customer – whether they need a weather-independent data source, a small constellation for high-frequency revisits, very high-resolution imagery or even all of the above (and more) in a single system.
| The World's Nº1 Exporter |
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100% of Satellites for intl. customers |
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delivered on Schedule |
S250 optical
This small satellite is a perfect solution for constellation operations designed for optimised revisit cycles It benefits from Airbus’ experience in constellation design and production, embedding electric propulsion and flight-proven new space equipment
- Massive acquisition capacity
- Versatile acquisition modes
- Enhanced ground segment reduces time from image request to information access
- Can be operated alone or in constellation for an increased revisit rate
S450 optical
A follow-on design to numerous satellites in operation today, its substantial heritage makes this satellite highly attractive
- The benchmark satellite for VHR applications
- Combines the advantages of a low-mass system with the strong performance of a larger platform
S950 optical
- Highest resolution on the market, combined with the most accurate geolocation
- Ultimate reactivity: High satellite agility coupled with state-of-the-art ground segment
- Selected for Airbus’ own Pléiades Neo 4-satellite constellation
Flight-proven
Relying on the flight-proven NAOMI optical instruments, all of the optical satellites can achieve high-end optical performance and image quality standards at resolutions down to a sub-metric class.
S250 radar
This satellite benefits from Airbus’ experience in constellation design and production, embedding electric propulsion and flight-proven new space equipment
- Excellent agility and image performance
- Optimised revisit rates
- Simplified common operations for S250 radar/ optical constellations
S850 radar
A high-power satellite offering extensive SAR capabilities, relying on proven technologies
- Ability to monitor a high number of targets with frequent revisit
- Enhanced performance in a single pass
- 25 VHR images within a 100x100km² theater
Satellite imagery
15. Neuseeland, Mt. Egmont (Taranaki) Radardaten zeigen Landnutzung durch Landwirtschaft und Tourismus Eindrucksvoll präsentiert sich der beinahe runde Vulkankegel des Mount Egmont auf der Nordinsel Neuseelands. Die Form dieses Vulkans besteht in dieser Ausprägung vermutlich erst seit rund 10.000 Jahren, auch seine Höhe von 2518 Metern hat er erst damals erreicht. Lavaströme von älteren Ausbrüchen bedecken einen Großteil der Umgebung, sie erstrecken sich über etwa 25 Kilometer in Richtung Ozean und formen eine ringförmige, gut sichtbare Ebene. Der Name, den die Maori diesem Berg gegeben haben, lautet Taranaki , was soviel bedeutet wie ohne Vegetation . Noch vor wenigen tausend Jahren waren die tiefer gelegenen Ebenen vollständig von dichten Wäldern bedeckt. Heute gibt es nur noch an den Hängen des Taranaki die Urwälder des Egmont-Nationalparks mit ihrer reichhaltigen Flora und Fauna. Die Umgebung wird von intensiv genutztem Weideland dominiert. Auf dem Gipfel befinden sich einige Schneefelder, allerdings keine Gletscher. Im Sommer ist die Spitze häufig vollständig eisfrei, während im Winter auf dem kleinen Manganui-Skifeld Wintersport betrieben werden kann. © DLR Aufnahmedatum: 15. Juli 2007, 07:07 UTC Originalauflösung: 3 Meter (Bilddarstellung reduziert) Modus: Stripmap Mode; Polarisation: VV
Galleries
Great Barrier Reef: The Copernicus Sentinel-2A satellite image over part of the Great Barrier Reef off Australia’s northeast coast. Extending more than 2000 km and covering an area of some 350 000 sq km, it is the planet's biggest single structure made by living organisms, called coral polyps. The reef is home to over 1500 tropical fish species, 400 types of coral, more than 200 species of bird, 5000 species of mollusc, 500 species of seaweed and six species of sea turtle. It is also a breeding area for humpback whales.
Copernicus Sentinel-2A image over central-eastern Brazil. It shows a large, flat plateau blanked with fields benefiting from rich soils and an apparent abundance of water, before falling off into a green, hilly valley (left). The straight lines in the image are roads, such as the highway running in a nearly straight line from the centre-top to bottom of the image. A distinctive feature in this image is the circles – mainly at the centre. These shapes were created by a central-pivot irrigation system, where a long water pipe rotates around a well at the centre of each plot. The varying colours show different types of crop, or different stages of growth.
EarthCARE will advance our understanding of the role that clouds and aerosols play in reflecting incident solar radiation back into space and trapping infrared radiation emitted from Earth's surface. In the foreground: The ATLID instrument (ATmospheric LIDa)r detects the vertical profile of aerosols physical parameters. Airbus is prime contractor to ESA.
EarthCARE will advance our understanding of the role that clouds and aerosols play in reflecting incident solar radiation back into space and trapping infrared radiation emitted from Earth's surface. In the foreground: The ATLID instrument (ATmospheric LIDa)r detects the vertical profile of aerosols physical parameters. Airbus is prime contractor to ESA.
EarthCARE will advance our understanding of the role that clouds and aerosols play in reflecting incident solar radiation back into space and trapping infrared radiation emitted from Earth's surface. In the foreground: The ATLID instrument (ATmospheric LIDa)r detects the vertical profile of aerosols physical parameters. Airbus is prime contractor to ESA.
Across nearly all major industries, many are looking toward a future of mass adoption of geospatial technologies. But what technical and commercial barriers do we need to break down to truly democratize access to geospatial data and analytics? Globally, institutions and companies have gathered more Earth observation (EO) data than can ever be analyzed using traditional image processing methods. With emerging companies racing to launch their own EO systems, we face an unprecedented increase in capacity and volume of data that inspires us to explore the importance of machine learning and cloud computing infrastructure in generating insights at scale. In this interview, Sean Wiid, Chief Product Officer at UP42, explains the role of platforms like UP42 in enabling the mass adoption of geospatial technologies.
