Newsletter · · 4 min read

Last Week in Earth Observation: July 15, 2025

Neo Space Group Acquires UP42, Fake Satellite Images

Welcome to a new edition of ‘Last Week in Earth Observation’, containing a summary of major developments in EO from the last week and some exclusive analysis and insights from TerraWatch.

Four Curated Things

Major developments in EO from the past week


💰 Contractual Stuff: Funding, Contracts and Deals

Contracts

Funding

📈 Strategic Stuff: Partnerships and Announcements

Partnerships

The hills of Cuprite, Nevada, appear pink and tan to the eye (top image) but they shine with mica, gypsum, and alunite among other types of minerals when imaged spectroscopically. (Credit: USGS)

🔗 Click-Worthy Stuff: Check These Out


One Discussion Point

Exclusive analysis and insights from TerraWatch


Saudi's New Space Group Completes Acquisition of European EO Platform UP42

Neo Space Group (NSG), the Saudi-based, PIF-owned space company (which also acquired geospatial services firm Taqnia) has completed the acquisition of Germany-based UP42, from Airbus Defence and Space.

In Brief: What does this mean?

For NSG, this acquisition allows them to continue becoming more and more fully vertically integrated firm, the only one of its kind in Saudi Arabia - somewhat in competition with UAE's Bayanat, now part of the Space42 group.

For UP42, this transaction, apart from the obvious financial clout, brings independence away from Airbus, both with respect to its product roadmap and potentially the capacity to provide a true independent data marketplace (being owned by Airbus might have impacted its data-agnostic nature in the past).

For Europe, this deal is quite a big blow, especially as it comes only a couple of years after US-based Planet acquired major EO platform provider Sinergise. It is plausible that Airbus, as a result of its dire financial situation, decided to offload UP42 to NSG, while focusing on its core activities. Can Europe afford to continue losing its major EO players?

The Big Picture: EO Platforms

The EO Platform segment received less than 10% of the private funding raised by EO sector in the past 7 years. Yet, this is the segment that has had the most exits in EO, even though some of these ‘exits’ are not your usual kind.

My Thesis on the Future of EO Platforms

People have asked me before: "Will there ever be a market for an independent (provider agnostic) EO platform that provides data access, data management, data processing offerings?"

I am not entirely sure platforms that start with a ‘horizontal strategy’ can be the answer to the end users interested in building EO applications. Most of the commercial EO platforms today lack any domain-specific data nor can they provide any expertise through the platforms.

The way forward is most likely to be ‘verticalized platforms' - EO platforms built for a purpose, focused on specific sectors or a set of use cases. Imagine a platform that is purely focused on the agriculture sector, and provides access to all types of data (satellite and non-satellite), tools, libraries and algorithms relevant to the agricultural use cases.

Platforms are fundamental to the growth of EO, especially if we want to unlock its iPhone moment. But unlike Apple (and Android), which laid the path forward for the development of mobile apps that led to the growth of the app economy, we have a pretty crowded ecosystem here, made even more complex with uncoordinated public funding, lack of validated demand and a pretty defence-dependent EO sector.

For a deep-dive on the state of EO platforms, check out the deep dive.


Scene from Space

One visual leveraging EO


Fake Satellite Images

While AI is becoming a pivotal tool in Earth observation, it also brings challenges while communicating, as this article presents. We are starting to see an influx of AI-generated imagery, including what looks like satellite data. But just because an image looks ‘real’ doesn’t mean it is scientifically accurate.

The example below shows AI-generated infrared imagery of a storm. It may appear convincing, but the storm’s structure and location are physically implausible, because it isn’t based on real atmospheric data.

 (left) Infrared satellite imagery of Hurricane Katrina. (right) AI-generated fake satellite image of a tropical cyclone over France (Credit: EGU)

Until next time,

Aravind.

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