How NASA Is Testing AI to Make Earth-Observing Satellites Smarter

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A know-how referred to as Dynamic Concentrating on may allow spacecraft to resolve, autonomously and inside seconds, the place to finest make science observations from orbit.

In a current take a look at, NASA confirmed how synthetic intelligence-based know-how may assist orbiting spacecraft present extra focused and priceless science information. The know-how enabled an Earth-observing satellite tv for pc for the primary time to look forward alongside its orbital path, quickly course of and analyze imagery with onboard AI, and decide the place to level an instrument. The entire course of took lower than 90 seconds, with none human involvement.

Known as Dynamic Targeting, the idea has been in growth for greater than a decade at NASA’s Jet Propulsion Laboratory in Southern California. The primary of a sequence of flight checks occurred aboard a industrial satellite tv for pc in mid-July. The objective: to indicate the potential of Dynamic Concentrating on to allow orbiters to enhance floor imaging by avoiding clouds and in addition to autonomously hunt for particular, short-lived phenomena like wildfires, volcanic eruptions, and uncommon storms.

“The concept is to make the spacecraft act extra like a human: As an alternative of simply seeing information, it’s fascinated about what the info reveals and the best way to reply,” says Steve Chien, a technical fellow in AI at JPL and principal investigator for the Dynamic Concentrating on mission. “When a human sees an image of bushes burning, they perceive it could point out a forest hearth, not only a assortment of pink and orange pixels. We’re attempting to make the spacecraft have the flexibility to say, ‘That’s a hearth,’ after which focus its sensors on the hearth.”

This primary flight take a look at for Dynamic Concentrating on wasn’t looking particular phenomena like fires — that can come later. As an alternative, the purpose was avoiding an omnipresent phenomenon: clouds.

Most science devices on orbiting spacecraft look down at no matter is beneath them. Nevertheless, for Earth-observing satellites with optical sensors, clouds can get in the way in which as a lot as two-thirds of the time, blocking views of the floor. To beat this, Dynamic Concentrating on seems 300 miles (500 kilometers) forward and has the flexibility to tell apart between clouds and clear sky. If the scene is obvious, the spacecraft pictures the floor when passing overhead. If it’s cloudy, the spacecraft cancels the imaging exercise to avoid wasting information storage for one more goal.

“In case you will be good about what you’re taking footage of, you then solely picture the bottom and skip the clouds. That approach, you’re not storing, processing, and downloading all this imagery researchers actually can’t use,” stated Ben Smith of JPL, an affiliate with NASA’s Earth Science Know-how Workplace, which funds the Dynamic Concentrating on work. “This know-how will assist scientists get a a lot greater proportion of usable information.”

The testing is happening on CogniSAT-6, a briefcase-size CubeSat that launched in March 2024. The satellite tv for pc — designed, constructed, and operated by Open Cosmos — hosts a payload designed and developed by Ubotica that includes a commercially accessible AI processor. Whereas working with Ubotica in 2022, Chien’s crew carried out checks aboard the International Space Station operating algorithms much like these in Dynamic Concentrating on on the identical kind of processor. The outcomes confirmed the mix may work for space-based distant sensing.

Since CogniSAT-6 lacks an imager devoted to wanting forward, the spacecraft tilts ahead 40 to 50 levels to level its optical sensor, a digital camera that sees each seen and near-infrared gentle. As soon as look-ahead imagery has been acquired, Dynamic Concentrating on’s superior algorithm, educated to establish clouds, analyzes it. Based mostly on that evaluation, the Dynamic Concentrating on planning software program determines the place to level the sensor for cloud-free views. In the meantime, the satellite tv for pc tilts again towards nadir (wanting immediately under the spacecraft) and snaps the deliberate imagery, capturing solely the bottom.

This all takes place in 60 to 90 seconds, relying on the unique look-ahead angle, because the spacecraft speeds in low Earth orbit at almost 17,000 mph (7.5 kilometers per second).

With the cloud-avoidance functionality now confirmed, the following take a look at shall be looking for storms and extreme climate — basically concentrating on clouds as a substitute of avoiding them. One other take a look at shall be to seek for thermal anomalies like wildfires and volcanic eruptions. The JPL crew developed distinctive algorithms for every utility.

“This preliminary deployment of Dynamic Concentrating on is a massively vital step,” Chien stated. “The tip objective is operational use on a science mission, making for a really agile instrument taking novel measurements.”

There are a number of visions for the way that would occur — presumably even on spacecraft exploring the photo voltaic system. In actual fact, Chien and his JPL colleagues drew some inspiration for his or her Dynamic Concentrating on work from one other mission that they had additionally labored on: utilizing information from ESA’s (the European Area Company’s) Rosetta orbiter to reveal the feasibility of autonomously detecting and imaging plumes emitted by comet 67P/Churyumov-Gerasimenko.

On Earth, adapting Dynamic Concentrating on to be used with radar may enable scientists to review harmful excessive winter climate occasions referred to as deep convective ice storms, that are too uncommon and short-lived to intently observe with current applied sciences. Specialized algorithms would establish these dense storm formations with a satellite tv for pc’s look-ahead instrument. Then a robust, centered radar would pivot to maintain the ice clouds in view, “staring” at them because the spacecraft speeds by overhead and gathers a bounty of knowledge over six to eight minutes.

Some concepts contain utilizing Dynamic Concentrating on on multiple spacecraft: The outcomes of onboard picture evaluation from a number one satellite tv for pc could possibly be quickly communicated to a trailing satellite tv for pc, which could possibly be tasked with concentrating on particular phenomena. The info may even be fed to a constellation of dozens of orbiting spacecraft. Chien is main a take a look at of that idea, referred to as Federated Autonomous MEasurement, starting later this yr.

Melissa Pamer
Jet Propulsion Laboratory, Pasadena, Calif.
626-314-4928
melissa.pamer@jpl.nasa.gov

2025-094



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