The synergy between AI and satellites

22

October

2023

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Satellites are like Earth’s external hard drives, continuously saving enormous volumes of data about our planet’s surface, atmosphere, and even beyond. As of May 2023, about 7,702 active satellites were orbiting our Earth being used for various applications (Ieva, 2023). This data, when processed and analyzed, can reveal patterns that are highly valuable for scientific, environmental, commercial, and security applications. With the huge amount of satellite data, how do we efficiently convert this raw data into actionable insights? Here is where artificial intelligence steps in and plays a key role.

The role of AI in satellite data analysis

First, Artificial intelligence comes into play with crunching the huge amount of data that is being produced by satellites. To put this amount into perspective, solely from the two earth observation NASA missions SWOT and NISAR, 100 terabytes of data daily is expected to be generated. Just a single terabyte can hold the data equivalent to about 250 full-length films (Greicius, 2023). Thanks to AI the data can be quickly processed and can be used as an input for decision-making.

Secondly, another aspect where AI can assist is data augmentation. Satellite imagery often is recorded when atmospheric conditions are not ideal. Clouds or haze can easily downgrade the quality of the image taken by the satellite. There is also simply a possibility of data gaps due to the limited frequency of the taken images. Both problems can be tackled using Generative Adversarial Networks (GANs) which can bring more comprehensiveness and reliability to the data.

Not only we can explore the historical data, but due to the possibilities of Generative AI, we can also simulate scenarios and provide predictions into various environmental indicators. Interesting examples could be predicting potential deforestation or wildfires. The possibilities for monitoring the earth are endless, from measuring tree height, and illegal logging to carbon sequestration (Nico, 2023).

Applications beyond Earth Observation

Apart from just observing the earth, there are other fascinating applications where invisible AI drives the life of satellites.

When satellites are launched into space and there isn’t a possibility for human maintenance anymore, AI can then step in and analyze data from the satellite’s onboard systems to predict maintenance needs or potential malfunctions, ensuring longer operational lifetimes and reduced risks. That’s how AI becomes a “space helper” (AI For Space:  Satellite Fault Prediction | RS21, n.d.).

On top of that, due to a lot of space debris, satellite operators always have to look out for potential collisions of satellites. They usually utilize software that uses AI to calculate the probabilities and analyze the potential threat. This again poses AI as a key prevention tool in the space industry. This type of software is for example applied by a space startup Ecosmic which offers an AI-based solution for space traffic management (Services — eCosmic, n.d.).

The fusion between satellite technology and AI, especially generative AI, represents new opportunities for understanding our planet and the universe. As satellite technology continues to advance and AI algorithms become more sophisticated, the potential for groundbreaking discoveries and transformative applications will only grow.

References:

AI for Space:  Satellite Fault Prediction | RS21. (n.d.). RS21. https://rs21.io/our-products/ai-for-space-satellite-fault-prediction

Greicius, A. (2023, September 19). NASA turns to the cloud for help with Next-Generation Earth missions – NASA. NASA. https://www.nasa.gov/centers-and-facilities/jpl/nasa-turns-to-the-cloud-for-help-with-next-generation-earth-missions/

Ieva. (2023). How Many Satellites are in Space? NanoAvionics. https://nanoavionics.com/blog/how-many-satellites-are-in-space/

Nico, M. (2023, July 1). Eyes in the sky: Opportunities from earth observation | Arthur D. Little. https://www.adlittle.com/en/insights/viewpoints/eyes-sky-opportunities-earth-observation

Services — eCosmic. (n.d.). Ecosmic. https://www.ecosmic.space/services-1

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ChatGPT as a guide to become a Citizen Astronaut

16

October

2023

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Have you ever thought of flying to space? Usually, only highly trained and well-skilled individuals get the chance to live this exciting experience. Space agencies like NASA or ESA are recruiting, training, and sending them to space. Among the many requirements to apply to become a NASA astronaut, there is U.S. citizenship, a Master’s degree, or equivalent experience in a STEM field (NASA, 2023). Even after fulfilling these conditions, there are thousands of people sharing the same dream. Only in the class of 2021, NASA had to choose 10 individuals from the pool of 12,000 applications (Rosa-Aquino, 2022), whereas ESA chose 5 career-astronauts from the amount of around 22,000 valid applications (ESA, 2022).

However, as the space industry is growing, the access to space also starts opening its doors to more people. Previously focused mainly on science and exploration, now another goal is to democratize space and let humans experience “The Overview effect” with programs such as Space for Humanity. The program expects a passion and a captivating story from the applicants wanting to become a Citizen Astronaut.

But what do tools like ChatGPT or Generative AI as a whole have to do with this matter?

They equip us with possibilities of preparation and serve as a source of ideas and knowledge that can bring everyone closer to flying to space. Starting with a basic space knowledge, needed preparation and creating a plan on how to train like an astronaut, all of these examples can be provided with just a prompt.

I personally asked ChatGPT to help me better understand how rockets work, how does the usual rocket launch look like and to provide me with more information about orbits and microgravity. Here is a short comprehensive lesson that it has provided me with.

Of course, there is also a ton of materials online that could possibly even better and more reliably serve as a guidance. However, Generative AI Large Language Models can provide a personalised experience on gaining the basic knowledge and planning various activities. And that’s only one of many applications shared from my interest, where AI can become a personal guide and a first step to exploring a new passion.

References

NASA. (2023, July 25). Astronaut requirements. NASA. https://www.nasa.gov/general/astronaut-requirements

Rosa-Aquino, P. (2022, November 25). Here’s how NASA determines which applicants make it to be astronauts. ScienceAlert. https://www.sciencealert.com/heres-how-nasa-determines-which-applicants-make-it-to-be-astronauts 

ESA. (2022, February 10). Final figures show astronaut applicants from all ESA member states. https://www.esa.int/About_Us/Careers_at_ESA/ESA_Astronaut_Selection/Final_figures_show_astronaut_applicants_from_all_ESA_Member_States 

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