Optimum Lidar Calibration Techniques for Improvement in Great Salt Lake Wetland Mapping Accuracy
Location
ECC 305
Event Website
http://water.usu.edu/
Start Date
4-3-2012 2:10 PM
End Date
4-3-2012 2:30 PM
Description
The topographic mapping of floodplain areas of extremely low relief requires vertical accuracies in the range of only a few centimeters. This requires optimal geometric performance of airborne lidar systems, the sensor of choice. This paper focuses on recent improvements made to the performance of the Utah State University LASSI lidar system using the latest calibration techniques. This work required a combination of rigorous global boresight and scanner calibrations followed by scan-line specific error removal. This presentation illustrates a step-by-step procedure implemented for a Great Salt Lake wetlands lidar dataset. The calibration steps include coarse IMU/Scanner boresight, fine IMU/Scanner boresight, system GNSS timelag estimate, scan-line translation error estimates, and IMU attitude drift error estimates. Included are several illustrations of incremental improvement to the accuracy of floodplain topography The rationale behind the order of the calibration steps along with the associated improvement in point cloud accuracy after each of these steps will be reported for the subject data.
Optimum Lidar Calibration Techniques for Improvement in Great Salt Lake Wetland Mapping Accuracy
ECC 305
The topographic mapping of floodplain areas of extremely low relief requires vertical accuracies in the range of only a few centimeters. This requires optimal geometric performance of airborne lidar systems, the sensor of choice. This paper focuses on recent improvements made to the performance of the Utah State University LASSI lidar system using the latest calibration techniques. This work required a combination of rigorous global boresight and scanner calibrations followed by scan-line specific error removal. This presentation illustrates a step-by-step procedure implemented for a Great Salt Lake wetlands lidar dataset. The calibration steps include coarse IMU/Scanner boresight, fine IMU/Scanner boresight, system GNSS timelag estimate, scan-line translation error estimates, and IMU attitude drift error estimates. Included are several illustrations of incremental improvement to the accuracy of floodplain topography The rationale behind the order of the calibration steps along with the associated improvement in point cloud accuracy after each of these steps will be reported for the subject data.
https://digitalcommons.usu.edu/runoff/2012/AllAbstracts/36