TerraWatch Essentials · · 5 min read

Last Week in Earth Observation: May 20, 2024

Predicting Cholera Outbreaks from Space, Edge Computing, Floods in Brazil 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


1. Contractual Stuff: Funding, Contracts and Deals 💰

Funding

Contracts


2. Strategic Stuff: Partnerships and Announcements 📈

Announcements

Partnerships


3. Interesting Stuff: More News 🗞️


4. Click-Worthy Stuff: Check These Out 🔗


: A color-coded map depicting the prediction of cholera risk in Yemen from August 10 to September 6, 2020, ranging from high risk in red to low risk in yellow.
Credit: NASA

EO Summit: Full Programme

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One Discussion Point

Exclusive analysis and insights from TerraWatch


5. Impact of Edge Computing on the EO Value Chain

What impact can edge computing (or on-board processing) have on the EO industry, and more specifically, how does it affect the EO value chain?

If you have read anything from TerraWatch before, you know that I segment the EO Operating Stack into 5 segments: Data, Platform, Analytics, Insights and Applications. Edge computing might have some interesting dynamics on the Platform layer, but its impact on the Analytics layer is perhaps more fascinating.

As a reminder, the Analytics layer is the part of the EO value chain, where data is converted into useful information, sometimes by integrating other sources of data. However, note that the Analytics layer does not inform, it only translates. You might not be able to make direct decisions with Analytics, as you might need to contextualise the information. Some examples of Analytics are cloud detection, vessel identification, building detection, crop classification etc. As you see, Analytics is all about converting imagery on pixels into some information, but it is not an actionable insight.

And that is what edge computing brings to the table - the ability to process data onboard the satellite, as it is being taken, in order to convert this data into some form of useful information. Note that edge computing might not necessarily provide actionable Insights, nor can it become a usable Application. My thesis is that edge computing helps move the Analytics layer closer to the orbit, but not completely away from the ground, as the figure represents below.

As an example, edge computing may enable the detection of clouds in orbit, but might not succeed in detecting all clouds in the image from the start. It may enable the detection of vessels in the sea, but may not provide a 100 per cent accuracy to begin with. And, the power of edge computing may not be enough to detect objects that are inherently harder to detect scalably (like the different types of trees), especially objects that require a lot of training data. The differences between traditional AI (on the ground) vs. edge AI (in orbit) might have limitations on how much information it can derive. At least as long as we successfully build data centers in space, where training data can be stored.

So, what edge computing really does to the EO Operating Stack is it literally shakes things up a bit - moving the Analytics layer closer to orbit. At least for starters, some simple forms of Analytics like cloud detection and vessel detection can be “outsourced” to be performed on-orbit, while the more complex forms of Analytics such as building detection and crop identification might be harder to execute with limited training data available onboard the satellite.

For more on edge computing, check out the exclusive deep dive on the topic, which is accessible to paid subscribers. Not a subscriber? You can do it now!


Scene from Space

One visual leveraging EO


6. Severe Flooding in Brazil

Rio Grande do Sul, a state in southern Brazil is experiencing an environmental and humanitarian disaster. Persistent heavy rains for a third consecutive week have led to severe flooding in southern Brazil killing at least 150 and displacing over 600,000 people, with economists estimating the economic damage done to be about $2bn. The following image from the FT shows the extent of the flooding.

Map showing satellite data of flooding in the southern Brazilian state of Rio Grande do Sol.
Credit: FT / Copernicus

Until next time,

Aravind.

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