New Orleans Levees

In the aftermath of hurricane Katrina, FLI-MAP was contracted by US Army Corps of Engineers to conduct damage assessment surveys on over 400 miles of levees in the vicinity of New Orleans. The survey was conducted over a period of six days

Grand Canyon

FLI-MAP was selected by the Grand Canyon
Monitoring and Research Center to survey
sedimentation areas on the base of the Grand
Canyon. FLI-MAP was chosen due to its high
levels of accuracy and density of data set. This
enabled differentiation of ground and vegetation
features within the data.

Rio Grande Levees

FLI-MAP, along with the RESOLVE system, operated
by fellow Fugro company, Fugro Airborne Surveys
of Canada, was selected to assess the levee
systems on the Rio Grande on the Texas/Mexico
border. FLI-MAP accurately mapped the surface of
the levees, and RESOLVE electromagnetic data was
used to assess the sub-surface soil properties.

Mid American Energy Transmission Lines

FLI-MAP was selected by Mid American Energy to
collect LiDAR data and to process the data into a
PLS-CADD deliverable, capable of direct use by
engineering staff. Mid American takes advantage
of the "economy of scale" by planning all their data
collection needs for a year, into a single data
collection, providing significant cost savings.

New Jersey Transit Rail System

FLI-MAP was selected by New Jersey Transit to
collect data on over 500 miles of commuter rail
system, for the establishment of a management
database. FLI-MAP was chosen for its proven
accuracy and record of similar successful
projects for other rail clients. FLI-MAP data
was provided to rail consultants, familiar with
data extraction using JCLS's proprietary FLIP7
software.

I-69 Highway Corridor

FLI-MAP was selected by TX DOT to obtain a
Digital Terrain Model (DTM) of 42 miles of the
proposed I-69 highway corridor in Texas.
FLI-MAP's dense data set allowed good ground data
to be obtained through fairly dense vegetation,
and the speed and efficiency of FLI-MAP allowed
for savings of 9 months in time and approximately
$1.5 million in costs over conventional methods.