LiDAR Data Management and ExploitationJoe Bob PenorStaff ScientistGIS Product Specialist: Geospatial Operations
Overview   How is LiDAR data useful in Disaster Management   Acquiring Point Data     –   Traditional Airborne Capture  ...
Disaster Happens                   3
How is LiDAR useful   Prevention and mitigation   Search and Rescue   Insurance assessment   Restoration
At Risk Analysis (3D Visualization)Potential Slide Areas                                  Historical Flood Zones          ...
Capture
What if Pre-date LiDAR does not exist?
Pixel correlation
The result….      …a very dense color encoded point cloud.
Aerial vs. Pixel Correlation                               Aerial LiDAR   Pixel CorrelationTypical high point density(poin...
There is a little problem…
Distributed Processing
One Step further…Processing as a ServiceSkygone offers Cloud Infrastructure specifically for the geospatial industry.Turnk...
Other Considerations•   What point density is required?•   What accuracy is required?•   What types of surfaces are more i...
Manage LiDAR in ERDAS APOLLO   Discover   Catalog   Edit Metadata   Visualize   Execute WPS models   CZS - Clip-zip-...
Manage LiDAR in ERDAS APOLLO
ERDAS IMAGINE and LPS LiDAR Capabilities   Terrain Analysis and    visualization (slope, Aspect,    shading, viewshed, in...
GeoMedia LiDAR Capabilities   Terrain Analysis and    visualization (slope, aspect,    shading, viewshed, etc.)   Import...
Identifying change in Lidar Data
Point Cloud Tools
Conclusions   Point Clouds can be a useful tool in disaster management     –   Prevention and mitigation     –   Search a...
LiDAR and Dam Analysis                         22
Thank you            23
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Hawaii Pacific GIS Conference 2012: LiDAR for Intrastructure and Terrian Mapping - LiDAR Data Management and Exploitation

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Hawaii Pacific GIS Conference 2012: LiDAR for Intrastructure and Terrian Mapping - LiDAR Data Management and Exploitation

  1. 1. LiDAR Data Management and ExploitationJoe Bob PenorStaff ScientistGIS Product Specialist: Geospatial Operations
  2. 2. Overview How is LiDAR data useful in Disaster Management Acquiring Point Data – Traditional Airborne Capture – Points from Pixel correlation – Pro’s and Con’s of each collection Managing and Deliver your LiDAR Data LiDAR Data Exploitation 2
  3. 3. Disaster Happens 3
  4. 4. How is LiDAR useful Prevention and mitigation Search and Rescue Insurance assessment Restoration
  5. 5. At Risk Analysis (3D Visualization)Potential Slide Areas Historical Flood Zones Potential Water Extents 3/14/2012 GeoMedia 3D 5
  6. 6. Capture
  7. 7. What if Pre-date LiDAR does not exist?
  8. 8. Pixel correlation
  9. 9. The result…. …a very dense color encoded point cloud.
  10. 10. Aerial vs. Pixel Correlation Aerial LiDAR Pixel CorrelationTypical high point density(points/m2) 25 400Typical point accuracy(sigma x, y in m) 0.15 0.025Typical point accuracy(sigma z in m) 0.050 0.075 10
  11. 11. There is a little problem…
  12. 12. Distributed Processing
  13. 13. One Step further…Processing as a ServiceSkygone offers Cloud Infrastructure specifically for the geospatial industry.Turnkey Software-as-a-Service (SaaS) enablement tools that turns almost anyapplication into an instantly deployable software + infrastructure package that ishosted, managed, and billed directly from their Cloud.http://www.skygoneinc.com/ 13
  14. 14. Other Considerations• What point density is required?• What accuracy is required?• What types of surfaces are more important (e.g., vertical versus horizontal)?• How quickly must the data be collected (e.g., hours versus days)?• When can the data be collected (e.g., which season)?• Is data collection at night an advantage (e.g., lower security risk, or avoiding air traffic near major airports, less ‘clutter’)?• What details are required (e.g., courtyards, roofs, tops of bridges, under bridges)?• What type of vegetation cover exists and do you need to penetrate the vegetation?• For Comparison, historical imagery may exist but LiDAR may not
  15. 15. Manage LiDAR in ERDAS APOLLO Discover Catalog Edit Metadata Visualize Execute WPS models CZS - Clip-zip-Ship Export
  16. 16. Manage LiDAR in ERDAS APOLLO
  17. 17. ERDAS IMAGINE and LPS LiDAR Capabilities Terrain Analysis and visualization (slope, Aspect, shading, viewshed, intervisibility) Import / export, Merge, Split, Thin Generate contours Use in Ortho generation Create LAS in eATE Edit in Terrain Editor 3D visualization Classification cue in ERDAS IMAGINE Objective
  18. 18. GeoMedia LiDAR Capabilities Terrain Analysis and visualization (slope, aspect, shading, viewshed, etc.) Import / export Generate true vector contours Statistical Analysis Advanced Interpolation, including Kriging Downhill flow and flow concentration analysis Classification 18
  19. 19. Identifying change in Lidar Data
  20. 20. Point Cloud Tools
  21. 21. Conclusions Point Clouds can be a useful tool in disaster management – Prevention and mitigation – Search and Rescue – Insurance assessment – Restoration There are alternative methods to collect LiDAR data with pro’s and con’s – Traditional airborne survey – Pixel correlation from stereo imagery Once you have LiDAR you need effective management and exploitation tools
  22. 22. LiDAR and Dam Analysis 22
  23. 23. Thank you 23

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