Impact of Lidar Nominal Post-Spacing On DEM Accuracy and Flood Zone Delineation
Document Type
Article
Publication Date
7-1-2007
Department
Geography and Geology
School
Biological, Environmental, and Earth Sciences
Abstract
Lidar data have become a Major source of digital terrain information for use in many applications including hydraulic modeling and flood plane mapping. Based on established relationships between sampling intensity and error, nominal post-spacing likely contributes significantly to the error budget. Post-spacing is also a major cost factor during lidar data collection. This research presents methods for establishing a relationship between nominal post-spacing and its effects on hydraulic modeling for flood zone delineation. Lidar data collected at a low post-spacing (approximately 1 to 2 m) over a piedmont study area in North Carolina was systematically decimated to simulate datasets with sequentially higher post-spacing values. Using extensive first-order ground survey information, the accuracy of each DEM derived from these lidar datasets was assessed and reported. Hydraulic analyses were performed utilizing standard engineering practices and modeling software (HEC-RAS). All input variables were held constant in each model run except for the topographic information from the decimated lidar datasets. The results were compared to a hydraulic analysis performed on the un-decimated reference dataset. The sensitivity of the primary model outputs to the variation in nominal post-spacing is reported. The results indicate that base flood elevation does not statistically change over the post-spacing values tested. Conversely, flood zone boundary mapping was found to be sensitive to variations in post-spacing.
Publication Title
Photogrammetric Engineering and Remote Sensing
Volume
73
Issue
7
First Page
793
Last Page
804
Recommended Citation
Raber, G. T.,
Jensen, J. R.,
Hodgson, M. E.,
Tullis, J. A.,
Davis, B. A.,
Berglund, J.
(2007). Impact of Lidar Nominal Post-Spacing On DEM Accuracy and Flood Zone Delineation. Photogrammetric Engineering and Remote Sensing, 73(7), 793-804.
Available at: https://aquila.usm.edu/fac_pubs/1976