Start date: 07/01/01
End date: 07/31/03
Other authors: Sitansu Pattnaik, Molly O'Brien, David Veneziano, Aemal Khattak, Mukunda Gopalakrishna, Zachary Hans, Ryan Tenges
About the research
The main objective of the research was to evaluate the advanced remote sensing technology, LIDAR, as a method to provide the necessary data to support effective decision-making and resource allocation in asset management.
LIDAR technology integrated with airborne GPS and inertial measuring can allow surface measurements (x,y,z) with a typical vertical accuracy of 15cm. Further data processing can extract measurements of bare ground (removal of vegetation, snow cover, etc.); also, digital aerial photography can be obtained as LIDAR measurements are taken. For this project, LIDAR data were collected for two pilot study areas, assessed for accuracy and applicability relative to asset management data needs, and applied to three applications to evaluate practical use of the technology.
Three separate reports are available. See the website above.
Project web page: http://www.ctre.iastate.edu/mtc/projects/2001-02.htm
- Grade and Cross Slope Estimation from LIDAR-based Surface Models (1.9 mb pdf) October 2003
- Remote Sensing (LIDAR) for Management of Highway Assets for Safety (1.4 mb pdf) October 2003
- Use of LIDAR-based Elevation Data for Highway Drainage Analysis: A Qualitative Assessment (9.5 mb pdf) October 2003
CTRE en Route: CTRE participates in national consortium on remote sensing Jul 2000
- Iowa Department of Transportation
- Midwest Transportation Consortium