Rocket Lab's Electron rocket liftoff. Credits: Rocket Lab

Rocket Lab Deploys New StriX Synspective Satellite

On October 15 NZT, Rocket Lab launched the "Owl New World" mission for Synspective, carrying a new StriX SAR satellite to join the company's constellation

On October 14, 2025, Rocket Lab’s Electron vehicle successfully lifted off from Launch Complex 1 – Pad A in Mahia, to launch the “Owl New World” mission for the Japanese Earth observation company Synspective.

Two minutes and forty seconds after the launch, which took off at 16:33 UTC (5:33, October 15 NZT), the second stage of the rocket was separated from the booster. The deployment of the payload was initiated approximately 50 minutes into the flight, resulting in its placement into orbit at an altitude of 583 kilometres, joining the company’s constellation of Synthetic Aperture Radar (SAR) satellites in Low Earth Orbit (LEO).


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Rocket Lab partnership

Rocket Lab has been the exclusive launch provider for Synspective since 2020, successfully deploying six missions for the company.

Synspective has decided to continue this partnership thanks to the Rocket Lab flexibility; indeed, dedicated launches on Electron mean operators can deploy their satellites to precise orbits that optimize their constellation’s coverage and functionality, avoiding the compromises associated with rideshare missions on larger rockets.

Furthermore, for today’s mission, Rocket Lab provided a customized fairing to better accommodate Synspective’s satellite.

Images of the past six Synspective launches operated by Rocket Lab. Credits: Rocket Lab
Images of the past six Synspective launches operated by Rocket Lab. Credits: Rocket Lab

“Owl New World” is Rocket Lab’s seventh launch for Synspective in a series of 21 upcoming missions to deploy the company’s Earth-imaging constellation before the end of the decade.

The mission deployed the seventh StriX satellite, the first of a new generation of satellites by Synspective for its low Earth orbit constellation.


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Payload & Constellation

StriX is a 100 kg-class Synthetic Aperture Radar (SAR) satellite, developed by Synspective, the University of Tokyo, the Tokyo Institute of Technology, and the Japan Aerospace Exploration Agency (JAXA).

StriX satellite's shape once completely deployed in space. Credits: Synspective
StriX satellite’s shape once completely deployed in space. Credits: Synspective

Its reduced size, maintaining imaging capabilities comparable to those of large SAR satellites, is possible thanks to a foldable SAR antenna, which expands to a size equivalent to a 5m large satellite, increased power with a high-output 1kW amplifier, and an advanced balanced thermal control system.

Image of deployable antenna. Before entering orbit, it measures approximately 80 cm on each side, forming a cube. Credits: Synspective
Image of deployable antenna. Before entering orbit, it measures approximately 80 cm on each side, forming a cube. Credits: Synspective

This satellite draws its name from the owl’s scientific name, Strix Uralensis. Owls have highly developed hearing and vision, allowing them to forage even in total darkness. Being able to see at night is also an important feature of SAR satellites.

In fact, Synspective’s small SAR satellites are equipped with advanced radar technology capable of observing the Earth’s surface under all weather conditions, day or night.

SAR is an active sensing technology where the sensor generates its own energy and measures the amount reflected after interacting with the Earth. Not affected by clouds or rain, SAR is suitable for monitoring disasters and detailed changes to secure critical infrastructure and other facilities.

Image of Panama Canal (Atlantic Side) taken using SAR technology. Credits: Synspective
Image of Panama Canal (Atlantic Side) taken using SAR technology. Credits: Synspective

With a SAR satellite constellation that can detect millimeter-level changes to the elevation or shape of the surface from space, Synspective delivers satellite data and various solutions that combine SAR and Internet-of-Things (IoT) data with machine learning and data science techniques.

This technology provides critical data for various applications, offering rapid damage assessment after natural disasters and allowing the monitoring of infrastructure, agriculture, environment, and maritime and border security.

*Cover image credits: Rocket Lab


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Daniele Parozzi

Daniele Parozzi

Mechanical Engineering student at Politecnico di Milano, passionate about space and astrophotography.

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