“This is not science for science’s sake. This
is science for saving lives, for improving
our response capability, for training future
emergency responders, or analysts, or
engineers to keep that whole philosophy in
mind,” says Dr. Jan van Aart, an associate
professor in the Chester F. Carlson Center for
Imaging Science (CIS). This is his philosophy,
and the driving force behind a project he
helped create: that the things academics
create must be useful. “I should always design
a system with the user in mind,” he says.
In spite of its name, the Information Products Lab for
Emergency Response (IPLER) is not a lab. It’s a multifaceted
project that makes the step between what
technology can do and what emergency responders
need. It began with a National Science Foundation
Partnership for Innovation between RIT and the
University of Buffalo back in 2009. The partnership
combines the resources and researchers of the RIT Digital Imaging
and Remote Sensing Laboratory in the Chester F. Carlson Center fo
Imaging Science (CIS) with the Department of Geography at Buffalo.
IPLER’s project manager, Don McKeown, is a researcher for the CIS.
Before the project began in 2009, he developed the Wildfire Airborne
Sensing Program. A sensor that can be bolted onto a plane and used
for mapping large areas, the program is a pivotal part of IPLER. The
project’s science principle investigator, van Aardt mainly studies
forestry, focusing on remote sensing. The other main sensor he uses is
LiDAR, a police radar-like device that can be used to make 3-D maps
of the ground. First, a laser emits infrared light in pulses; then a sensor
picks up the light when it returns. From this time difference, it can
calculate how far away it is from the ground.
According to van Aardt, the lab uses LiDAR for digital elevation
modeling, which analyses the effect of factors such as ground location
and shape on things such as water flow. The project uses it for flood
modeling and mapping, as well as building damage assessment. “We
know roughly what a roof looks like, or what it should look like,” says
van Aardt. “So if an earthquake moves through, we can use all of these
million points on the ground and look for cracks in the roof.” He adds,
“We can use [LiDAR] for debris assessment, like in the case of Haiti,
[by seeing how much] junk in between the buildings.”
IPLER goes beyond mapping damaged areas. It starts even before
disaster strikes, by using remote sensing to understand high-risk
areas. Then it aids in the response to disasters by mapping floods, fires,
earthquakes and more, while relaying that information to the ground
in near-real time. Then, in the weeks after a disaster, IPLER can
continue to fly its WASP and LiDAR sensors over the area to monitor
progress and possibly evaluate the best place to safeguard refugees
while their homes recover. In this way, IPLER is comprehensive in its
disaster management.
IPLER is dedicated to usability of their products and data. They want
to be able to give their programs to emergency responders and say,
“You don’t have to know the physics behind what’s happening, but you
can use this tool: you can ingest the LiDAR data, you can click on this
button, maybe set the building size parameter, and you can get out
an approximate building damage assessment map,” according to van
Aardt. Computer programming is an integral part of IPLER, not just
in writing algorithms for their equipment and data processing, but
also in making their user interfaces as efficient and understandable
as possible.
IPLER has been implemented for its share of disasters already. When
a magnitude 7.0 earthquake hit Haiti Sunday, January 12, 2010, the
project was contracted by ImageCat Inc., an IPLER partner, to fly
over the island. They covered 250 square miles in seven days, and
they made all of their maps public domain data. Since then, IPLER
has flown for New York state after hurricane Irene and tropical storm
Lee, with Tomnod after the New Zealand earthquake, and for the U.S.
Geological Survey in data analysis after the Japanese earthquake last
spring.
Jason Faulring, a CIS systems integration engineer, pilots the aircraft
that holds the sensors. “Without Jason, this is not possible, literally,”
says van Aardt. “Don and I can keel over and someone else can step in,
but if we lose Jason then we’re in trouble.” Jason supplies some of the
technical expertise behind IPLER’s missions.
Recently, the U.S. Department of Homeland Security asked IPLER
to research nuclear ingestion pathway mapping. This involved
developing a way to rapidly assess crop damage caused by the fallout
of a nuclear reactor meltdown. They use satellite data over many years
to develop a baseline map. Then, in the case of a disaster, IPLER would
again fly over an area and take images, classifying areas based on how
the images have changed relative to their baseline map.
According to van Aardt, the project has three short term goals:
to deliver usable information to disaster responders, to educate
themselves and others on the disaster process, and to demonstrate what
is possible. Ultimately, the IPLER team wants to sustain the project as
long as possible, and one of McKeown’s jobs is to look for grants to
sustain their research. They are confident this project will save lives in
years to come, as it educates and trains the next generation of disaster
responders about how to use the most recent science and technology.
This project is putting RIT on the map, so to speak, when it comes to
disaster management. The project has, and is continuing, to network
with both private and public sector emergency responders. McKeown
and van Aardt see IPLER as a sort of middleman between two groups
that otherwise wouldn’t be able to communicate as effectively:
technical experts and emergency responders. IPLER is only able to
save lives by developing trust with technology companies and disaster
responders alike — and it does just that.
van Aardt believes the IPLER philosophy of practicality can be
applied across all domains, especially the sciences. “I think we
as imaging scientists lose sight of this: whatever we do needs to be
transferable to an end user,” he says. “That doesn’t mean we have to
dumb it down … we just have to make it understandable.” In the case
of IPLER, this usable technology saves lives.
To learn more about the IPLER project, visit their website.