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Title : MICRO-TERRAIN FEATURE EXTRACTION FROM NUMERICAL ANALYSIS OF GRIDDED LIDAR DATA
Company : U.S. Army Geospatial Center
File Name : Blundell.pdf
Size : 1532129
Type : application/pdf
Date : 24-May-2010
Downloads : 5

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Featured Paper by

S. Bruce Blundell and Randy Swanson

High-resolution digital elevation models (DEMs) created from small-footprint airborne Light Detection and Ranging (LIDAR) scanning system data contain information that can reveal micro-terrain features and their spatial patterns, especially in the absence of dense forest overstory. We applied numerical techniques to a bare-earth gridded LIDAR DEM of a region containing both coniferous canopy and open rugged terrain to calculate directed second derivatives for each matrix location by fitting cubic splines to the data. Thresholding the results allowed the creation of spatially correlated layers of (1) micro-terrain features identified by rapid slope change and (2) associated azimuthal directions of maximum slope change. Canopy layers were created from first and last return LIDAR grids using a thresholded differencing algorithm.
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