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About LIDAR
LIDAR at IHRC
Past and Current Research
Publications
About LIDAR
Key Features:
- High Accuracy: typical vertical accuracy is 6 inches (15cm);
horizontal sampling to several feet (0.5m)
- Easy to Deploy: lightweight laser system can be installed on
a light fixed wing aircraft
- Day and Night Operation: the system measure the distance using
positive laser pulse does not need sun light
- Rapid Data Collection: millions of precise data points can be
collected in a single day
Applications:
- Inland Flooding
- Damage Assessment (Built and Natural)
- Hurricane Generated Debris Analysis
Airborne Laser Topographic Mapping (ALTM) Technology is a subset
of an active remote sensing technology known as LIDAR (acronym for
Light Detection And Ranging). LIDAR systems direct pulses of laser
light toward the ground and detect the return times of reflected
or back-scattered pulses in order to determine ranges to a reflecting
surface. This technology has been used for many years in ground
based surveying instruments known as Total Stations or Electronic
Distance Measurement (EDM) and in military applications. The use
of LIDAR for airborne topographic mapping began in the late 1970's,
but early systems suffered because of poor determination in the
aircraft position and orientation. By early 1990, advances in navigation
technology, electronic miniaturization and laser technology lead
to the development of practical ALTM systems.
Most modern ALTM systems consist of three basic components: the
laser scanner, a kinematic Global Position System (GPS), and the
Inertial Measurement Unit (IMU). The laser scanner detects the range
from aircraft to ground by recording the time difference between
laser pulses sent out and reflected back. In addition, many systems
allow the recording of multiple returns and the return intensity
for each laser pulse. Pulse repetition rates of commercial ALTM
systems range between 10 and 100 kHz. A rotating or oscillating
mirror mounted in front of the laser causes the laser to scan back
and forth, allowing the coverage of a wide swath beneath the flight
path. This oscillation of the scanner mirror, in combination with
forward motion of the aircraft, typically results in a zigzag scan
pattern beneath the flight path.
A GPS receiver mounted in the aircraft records aircraft positions
continuously. A second GPS station situated at a known ground position
provides differential corrections for more accurate estimation of
the aircraft trajectory. After the flight, a precise aircraft trajectory
is determined by post processing the aircraft and ground station
GPS carrier phase data. Aircraft orientation is measured by the
IMU. The IMU consists of a set of gyroscopes and accelerometers
that continuously measure the roll, pitch, heading and acceleration
of the aircraft many times per second. After the flight, the aircraft
trajectory is then combined with the laser range data, scanner mirror
angle, and the IMU measurements to determine the precise horizontal
coordinates and vertical elevations of each laser reflection.

Schematic diagram showing data acquisition parameters
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LIDAR at IHRC
The Florida International University (FIU) International Hurricane
Research Center (IHRC) and the University of Florida (UF) Geomatics
program purchased an Optech model 1233 ALTM system, at a cost exceeding
one million dollars. The system is mounted in a Cessna 337 twin-engine
light aircraft owned jointly by FIU and UF.
The Optech 1233 ALTM utilizes a 33 kHz, pulsed laser range finder
(LIDAR) which returns vertical ranges to the ground on a swath beneath
the flight path. When combined with advanced inertial navigation
and kinematic GPS positioning, this system can return absolute elevations
of the ground surface accurate to 6 inches (15cm). For a typical
aircraft deployment (120 miles per hour ground speed, 3000 foot
altitude), we are able to map a 2000-foot-wide, over 500-mile-long
swath of ground surface elevations spaced 5 feet apart in just a
few hours and at a fraction of the cost of conventional surveying.
Since acquiring an airborne laser in 1999, IHRC has surveyed about
2,000 km2 of areas vulnerable to storm surge flooding in South Florida
using airborne LIDAR technology as part of the Windstorm Simulation
and Modeling Project funded by FEMA through the Florida Department
of Community Affairs (FL DCA). Over 1,500 million irregularly spaced
ground surface elevations have been collected for these areas. IHRC
also collected LIDAR measurements at Martin County (2003), Vero
Beach, Florida (2000), the outer coastline of North and South Carolina
(2000), and the south shore of Long Island, New York (2002) to study
coastal vulnerability and beach erosion. These data collection activities
are part of an extensive research effort that has contributed to
the development of unique capabilities in LIDAR data filtering,
building and tree extraction algorithms, data processing software
development, storm surge flood modeling, analysis of freshwater
flooding impact, and beach erosion using LIDAR measurements.

Above is a comparison of ALTM data with USGS data in Broward County,
Florida. The left figure is a USGS 30 meter DEM and the right figure
is an IHC 30 meter DEM produced from ALTM data. Notice the significantly
higher resolution in the IHC DEM. In some areas, elevations differences
of as much as 3 meters (10 ft.) could result in large errors in
flood maps.

Above is a comparison of ALTM data with USGS data in Broward County,
Florida. The left figure is a USGS 30 meter DEM and the right figure
is an IHC 30 meter DEM produced from ALTM data. Notice the significantly
higher resolution in the IHC DEM. In some areas, elevations differences
of as much as 3 meters (10 ft.) could result in large errors in
flood maps.
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Past and Current Research
- Airborne Laser mapping of the Erosion caused by Hurricane Floyd
near Vero Beach, FL (link)
- ALTM Study of Eastern Broward County, FL with Applications to
the Hurricane Storm Surge Hazard
- Miami-Dade County East-West Transect
- Windstorm Simulation and Modeling Project (link)
Publications
Zhang K. and D. Whitman 2004. Comparison of three algorithms for
filtering airborne LIDAR data. Photogrammetric Engineering and
Reomote Sensing, in press.
Robertson, W., D. Whitman, K. Zhang, and S. P. Leatherman, 2004.
The use of airborne laser altimetry to measure shoreline position
in North and South Carolina. Journal of Coastal Research,
in press.
Zhang K., D. Whitman, S.P. Leatherman, and W. Robertson, 2004. Quantification
of the changes caused by Hurricane Floyd along Florida's Atlantic
Coast using airborne LIDAR survey. Journal of Coastal Research,
in press.
Whitman D., K. Zhang, S.P. Leatherman, and W. Robertson, 2003.
An Airborne Laser Topographic Mapping Application to Hurricane Storm
Surge Hazard. In G. Heiken, R. Fakundiny, and J. Sutter (editors),
Earth Science in the Cities. p. 363-376.
Zhang K., S.C. Chen, D. Whitman, M. L. Shyu, J. Yan, and C. Zhang,
2003. A progressive morphological filter for removing non-ground
measurements from airborne LIDAR data. IEEE Transactions on Geoscience
and Remote Sensing, vol. 41, p. 872-882.

Index map of the Miami-Dade county LIDAR collection
Miami-Dade
County 3-D Images Rendered from Airborne Laser Data. The image shows
downtown Miami, Florida looking Northwest Biscayne Bay. The data
was collected by an Optech ALTM 1233 topographic mapping system
operated by FIU.
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