Newsletter · · 4 min read

Last Week in Earth Observation: December 16, 2024

Demystifying The Process of Converting Data to Insights, Declassified Satellite Images of the Vietnam War and more.

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

Funding

Contracts

Earnings

M&A

This should come as no surprise as the private equity owned Maxar is in the process of divesting assets that are not core to its business and focusing on growth. Around the same time last year, Maxar sold its radio frequency monitoring division to Hawkeye 360.

📈 Strategic Stuff: Partnerships and Announcements

Partnerships

Announcements

🗞️ Interesting Stuff: More News

🔗 Click-Worthy Stuff: Check These Out

Bombs dropped during the Vietnam War left craters that appear as bright spots in declassified satellite images. (Credit: Science / U.S. Geological Survey)

EO Summit 2025: Super Early Bird Ticket Sale - Extended

The Super Early Bird Ticket Sale for EO Summit 2025 has been extended until January 3, 2025. Hurry up and reserve your place at the only conference in 2025 with the highest number of commercial end-users discussing EO applications.

🎟️ Only ten more tickets are available at this price!

💰 Buy a full conference ticket for only $449 and save up to $300.


One Discussion Point

Exclusive analysis and insights from TerraWatch


5. The Need to Demystify the Process of Converting EO Data into Insights, in the Age of Artificial Intelligence

As EO enabled by AI continues to enable impactful societal, economic and environmental decisions, it becomes increasingly important to understand what goes on behind the hood - the tricks behind the magic of using satellites to derive insights. The figure below is an attempt to demystify the process of translating EO data into insight.

Some end-users of EO do not really care about how the insights are derived, but commercial EO-derived products are increasingly being used to make crucial decisions such as individuals deciding where to buy property, organisations identifying the climate risk for their assets, governments monitoring the level of wildfire threat for a region etc.

As the commercial EO industry continues to grow and increasingly plays a part in our lives, it might be a good time to start talking about the “black-box problem” in EO, especially as EO-based commercial applications become a fundamental part of the lives of individuals, businesses and governments. This is especially significant in the age of artificial intelligence.

AI agents are the new geospatial applications. In the era of AI agents, trustability and reliability - the ability to not be a black box - will become the competitive advantage. For many use cases, the overused statement "people don't want imagery, they want insights and don't care where they come from" will not be so valid anymore.

As much as we focus on the role of commercial EO in offering insights to solve a specific market problem, it is equally, if not more, important to be able to fully understand how the insights were derived. Whether it is through continued peer-reviewed publications, complete transparency through an open-source model or just simply letting the market decide, that remains to be seen.

This figure shows the misunderstanding of perception and reality, focusing on the need to go beyond the abstraction layer and understand how EO applications work.

Scene from Space

One visual leveraging EO


First Images from Sentinel-1C

Less than a week after its launch, the Copernicus Sentinel-1C satellite has delivered its first radar images. The satellite is still in its commissioning phase, and will be operational in the coming months, which will reduce the revisit time of Sentinel-1 SAR images from roughly every 10 days to every 5 days - a game-changer for both commercial applications and environmental monitoring.

The Netherlands from Sentinel-1C (Credit: ESA)

Until next time,

Aravind.

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