Skip to Content

Sharper Satellite Images

A new satellite could produce color images of objects half the size of those visible to its predecessors.
June 20, 2008

Next month, a commercial satellite company is scheduled to launch an Earth-orbiting satellite that will be able to produce color images so detailed that the U.S. government doesn’t permit their public release. The new satellite, dubbed GeoEye-1, will provide images at its highest resolution for classified military and intelligence uses. Slightly lower-resolution versions will be available for commercial and research purposes, as well as through online services like Google Earth.

Preparing for takeoff: A photo of GeoEye’s new imaging satellite in May 2008 at General Dynamics’ facility in Gilbert, AZ, where the satellite underwent environmental testing.

On August 22, Virginia-based GeoEye will launch the satellite, from Vandenburg Air Force Base in California. The satellite will be able to distinguish objects that measure 0.17 square meters. The best color satellite images now commercially available, from GeoEye competitor DigitalGlobe, can resolve objects that measure 0.36 square meters.

“We can see a beach ball 16 inches across,” says GeoEye CEO Matt O’Connell. According to O’Connell, the satellite data will be accurate to within three meters of “ground truth”–a measure of how well the satellite imagery matches up to GPS data taken from the ground. DigitalGlobe’s QuickBird satellite is accurate to 27 meters.

GeoEye-1 owes its improved accuracy to its star trackers–sensing devices that allow it to calculate its exact position based on the stars. Its star trackers were initially developed by Ball Aerospace for military applications and only recently cleared for commercial use.

Although federal regulations prohibit satellite companies from selling images with resolutions of less than 0.25 square meters, O’Connell says the images taken by GeoEye-1 will still be the highest-resolution color images available on the market–able to spot a person on the ground or distinguish between a tank and a truck.

GeoEye-1 will record color in four wavelengths: blue, green, red, and near-infrared. It is capable of imaging up to about 700,000 square kilometers a day–an area roughly the size of Texas. The company expects the satellite to last for at least seven years.

The fledgling industry of commercial satellite imagery has grown rapidly since its inception in the 1990s. Fifteen years ago, almost all satellite imagery worldwide was produced by governments and was highly classified. But since 1994, when President Bill Clinton signed a directive broadly declassifying commercially produced satellite data, military and intelligence agencies have increasingly relied on commercially acquired data, and U.S. government restrictions on that data have been steadily loosening.

The increasing quality of commercial satellite data is a tremendous boon to researchers, says James Garvin, chief scientist at NASA’s sciences and exploration directorate at the Goddard Space Flight Center in Greenbelt, MD. Since 2006, NASA researchers have been using high-resolution color images of Mars from the HiRISE satellite to research the planet’s climate, geology, and history. It’s only recently, Garvin says, that earth scientists have begun to turn this kind of attention to our own planet.

“It’s ironic that we implemented it on Mars before Earth,” he says. “I’m particularly excited about its capabilities for helping train us to understand some of the unknown unknowns about climate change.”

One reason satellite imagery is becoming important to scientists studying climate change, says Garvin, is that the quality is beginning to rival that of aerial photography. With high-resolution satellite imagery, scientists will be able to look back in time, comparing current images to a wealth of historical images taken from airplanes–a trove that dates back to the advent of large-scale aerial reconnaissance in World War II.

“One of the things that’s really hard to do is detect very subtle landscape changes at the boundaries between landscape systems–the edge of the ocean, the coastline, the beach zone,” Garvin says. “The resolving power of this soon-to-be-launched satellite will dramatically extend what we can measure from space in several different environmental disciplines.”

About half of GeoEye’s roughly $200 million in yearly revenue comes from the federal government. The rest, O’Connell says, is made up of private-industry and international sales.

Although the company has been reluctant to discuss the details of its business relationships with major online providers, GeoEye currently sells satellite images to Google, Yahoo, and Microsoft. As the online providers update their imagery, the new satellite will make much higher-quality data available for free to the general public. Though that may seem like giving away the store, O’Connell says, it doesn’t hurt GeoEye’s business, since most of its customers in research and industry want custom imagery and more data than sites like GoogleEarth make available.

“It’s been a great additional source of revenue and a great marketing technique,” he says. “People see our images online and say, ‘Oh, man–what I could do with this stuff.’”

GeoEye-1 was originally scheduled to take flight in April, but the launch provider, Boeing Launch Services, delayed the launch to make way for a U.S. government mission.

Plans are already in the works for GeoEye-2, a satellite that will be able to image objects that measure a mere 0.06 square meters. GeoEye-2 is scheduled to launch sometime in 2011 or 2012.

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.