RIT Researchers Help Map Tsunami and Earthquake Damage in Japan

Geospatial information maps created for Fukushima, Hachinohe and Kesennuma

The images show the progression of damage to the Fukushima Dai-ichi Nuclear Power Plant from March 12 to March 17. Analysis by RIT Digital Imaging and Remote Sensing Laboratory within the Chester F. Carlson Center for Imaging Science.

Japan needs maps. Not just any kind—detailed informational maps georegistered with latitude and longitude and annotated with simple, self-evident details: this bridge is out, this port is damaged, this farm field is scoured; this one is verdant.

Researchers at Rochester Institute of Technology are processing satellite imagery of regions in Japan affected by the 9.0 magnitude earthquake and tsunami that devastated sections of the country’s east coast on March 11. The U.S. Geological Survey, a member of the International Charter “Space and Major Disasters,” organized the volunteer effort involving about 10 organizations, including Harvard University, George Mason University, Penn State and the Jet Propulsion Laboratory.

RIT signed on to process images of the Fukushima Nuclear Power Plant and the cities of Hachinohe and Kesennuma. At the request of the Japanese, scientists at RIT created before-and-after images that can be printed on large sheets of paper. The team uploads 30 megabyte PDFs to the U.S. Geological Survey’s website for charter members and Japanese emergency responders to access.

“Once we upload it, it’s out of our hands,” says David Messinger, associate research professor and director of the Digital Imaging Remote Sensing Laboratory in RIT’s Chester F. Carlson Center for Imaging Science. “If you have the electronic version, you can make measurements on it,” he says. “The assumption is they want the big format so they can print it out, roll it up and take it into the field.”

The Japanese relief workers requested high-resolution images of the Fukushima Nuclear Power Plant. The RIT team processed imagery looking down into the reactors and the containment shells on March 12, the day after the earthquake and tsunami hit and prior to the explosions at the plant. High-resolution image-maps from March 18 show extensive damage and a smoldering reactor.

“We were tasked with the nuke plant Friday morning and we uploaded it about 6 that night,” says Don McKeown, distinguished researcher in the Carlson Center for Imaging Science.

The 13-hour time difference has made the workflow difficult, Messinger notes. “While we’re doing this here, it’s the middle of the night there, so the feedback loops are slow.

“We were pushing hard,” he adds. “We wanted to get maps to them before their morning work shift started.”

They are mapping the area around the power plant as well, processing imagery from a broader view of the terrain used as farmland.

“We have a large image of Fukushima,” McKeown adds. “We’re committed to making a big map of this area. This is a very agricultural region and there are restrictions about food coming out of the area.”

The RIT team, led by McKeown and Messinger, includes graduate students Sanjit Maitra and Weihua “Wayne” Sun in the Center for Imaging Science and staff members Steve Cavilia, Chris DiAngelis, Jason Faulring and Nina Raqueño. They created the maps using imagery from WorldView 1 and WorldView 2 satellites operated by Digital Globe, a member of RIT’s Information Products Laboratory for Emergency Response, and GeoEye 1, a high-resolution commercial satellite operated by GeoEye Inc.

“This really fits what IPLER is all about—information products,” McKeown says.

RIT and the University at Buffalo formed the lab six months before the earthquake struck Haiti in January 2010. Connections with industry partners led RIT to capture and process multispectral and LIDAR images of Port-au-Prince and surrounding towns for the World Bank.

“With Haiti, we learned how, in a disaster, to send an imaging instrument into the field, collect the relevant data, get it back to campus and do the right processing to the imagery,” Messinger says. “In this case, we’re learning how to take imagery that we didn’t collect and produce the actual product that will be delivered to the first responders in the field in a very short time frame. We’ve learned a lot about the second phase of the process now.”

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