Working with LiDAR

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Technology Entertainment & Humor

Lightning Talk: Working with
LiDAR Data
April – June 2013

3
LiDAR data manipulation
 Derive Ground to Tree Heights
 Approx. 9Gbytes LiDAR LAS data in original dataset
 Combine Point Cloud LAS files
 Clip Point Cloud & Roads to AOI (Area of Interest)
 Filter Point Cloud by elevation – thin bad returns
 Tile the point cloud into “cells” (i.e. 10x10m areas)
 Split by Classification (Ground & High Vegetation)
 Convert Point Cloud Cells -> multi-point
 Extract Min/Max XYZ and calculate maxZ-minZ = diffZ
 Output to:
 Coloured polygons (MapInfo)

 Source:
LAS LiDAR
GeoBase
- National Road Network
 Result:
MapInfo TAB
4
LiDAR Data Manipulation
Example
Spurious returns

5
LiDAR data manipulation

Thank You!
 Questions?

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2. 3 LiDAR data manipulation  Derive Ground to Tree Heights  Approx. 9Gbytes LiDAR LAS data in original dataset  Combine Point Cloud LAS files  Clip Point Cloud & Roads to AOI (Area of Interest)  Filter Point Cloud by elevation – thin bad returns  Tile the point cloud into “cells” (i.e. 10x10m areas)  Split by Classification (Ground & High Vegetation)  Convert Point Cloud Cells -> multi-point  Extract Min/Max XYZ and calculate maxZ-minZ = diffZ  Output to:  Coloured polygons (MapInfo)

3.  Source: LAS LiDAR GeoBase - National Road Network  Result: MapInfo TAB 4 LiDAR Data Manipulation Example Spurious returns

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5. Thank You!  Questions?