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Gain Total Control of Your LiDAR and Point Cloud Data

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Learn how to quickly transform LiDAR data to meet your requirements with FME. You'll discover how to easily clip, tile, split and otherwise manipulate point clouds using automated processes capable of transforming millions of points in seconds. Plus with FME's support for 300+ formats -- including LAS, Oracle Point Cloud, and RIEGL -- you'll see how to integrate LiDAR with GIS, CAD, and raster data. New for FME 2013, we'll share how you can perform point-by-point calculations and subsequently filter those points based on color, intensity, and other criteria.

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Gain Total Control of Your LiDAR and Point Cloud Data

  1. 1. Gain Total Control of YourLiDAR and Point Cloud DataHow to quickly transform LiDAR datato meet your requirements with FME February 28, 2013
  2. 2. Who Are We? Dale Lutz Co-Founder and Vice President of Development Safe Software Dmitri Bagh Scenario Creation and Testing Analyst Safe Software
  3. 3. Questions are Encouraged! This morning’s Q&A Support: Dave Campanas, Product Specialist Safe Software  Dean Hintz Senior Analyst Safe Software
  4. 4. FME – Feature Manipulation EnginePowering The Flow of Spatial Data
  5. 5. Poll: Do you currently useFME for LiDAR/Point cloudprocessing?
  6. 6. FME CapabilitiesTransform Data to Use and Share  Convert spatial data between hundreds of formats  Transform spatial data into the precise data model you need  Integrate multiple different data types into a single data model  Share spatial data with people where, when and how they need it
  7. 7. Workbench:Graphical Data Flow Authoring
  8. 8. Demo 1
  9. 9. LiDAR & Point Clouds:The Heartache
  10. 10. Raster Review
  11. 11. Point Clouds Are… RASTERS gone WILD
  12. 12. Poll: Which point cloud formatsare you interested in?
  13. 13. Point Cloud Solution 1: Translate Raster FormatsVector Formats ASTM E57 LAS Oracle Spatial Point Cloud Pointools POD Point Cloud XYZ RIEGL Laser Scan Database Terrasolid TerraScan Z+F LaserControl ZFS
  14. 14. Point Cloud Solution 1: LAS/LAZ  LAS Reader/Writer support for versions 1.0– 1.2  LAS Reader and Writer Compression  Using Open Source German-Written LASZip technology (http://laszip.org)
  15. 15. Point Cloud Solution 1: LAS/LAZ  LAS Reader/Writer support for versions 1.0– 1.2  LAS Reader and Writer Compression  Using Open Source German-Written LASZip technology (http://laszip.org)
  16. 16. Point Cloud Solution 2: Inspect
  17. 17. Poll: What are the typicaloperations you need to performon point clouds?
  18. 18. Point Cloud Solution 3: Reproject
  19. 19. Point Cloud Solution 3: Reproject  Geocentric coordinates support  Orthometric heights support
  20. 20. Demo 2
  21. 21. Point Cloud Solution 3: Reproject  BMGReprojector
  22. 22. Point Cloud Solution 4: Tile
  23. 23. Point Cloud Solution 5: Clip
  24. 24. Point Cloud Solution 5: Clip  One Billion Point Tiling / Clipping
  25. 25. Point Cloud Solution 5:Cubic Clip
  26. 26. Point Cloud Solution 5:Cubic Clip
  27. 27. Point Cloud Solution 6: Thin
  28. 28. Point Cloud Solution 7:Surface Model
  29. 29. Point Cloud Solution 8: Combine
  30. 30. Point Cloud Solution 8: Combine
  31. 31. Point Cloud Solution 9: Split
  32. 32. Point Cloud Solution 9: Split  Split by Color & Intensity Ranges
  33. 33. Demo 3
  34. 34. Point Cloud Solution 9: Split
  35. 35. Point Cloud Solution 10:Colorization  PointCloudOnRasterComponentSetter
  36. 36. Point Cloud Solution 10:Colorization
  37. 37. Point Cloud Solution 11:Extents Calculation & Update
  38. 38. Point Cloud Solution 12:ArcGIS 10.1  Create .lasd files for quick LAS use in ArcGIS
  39. 39. Point Cloud Solution 12:ArcGIS 10.1  Create .lasd files for quick LAS use in ArcGIS
  40. 40. Point Cloud Solution 13:Profiling and Slicing
  41. 41. Point Cloud Solution 14:Per Point Calculations
  42. 42. Demo 416/07/12
  43. 43. Point Cloud Solution 15:Per Point Filtering
  44. 44. Demo 5
  45. 45. Point Cloud Solution 16:Performance  One Billion Points:  Tiling: 4h 45 m  Clipping: 10h 30 m  One Quarter Billion Points:  Surface Modelling: 2h  Parallel Processing:  Visit http://fme.ly/parallel
  46. 46. Demo 6
  47. 47. Unconventional Point Cloud Uses Raster Histograms  Polygon Splitting
  48. 48. Summary FME can help you put your Point Cloud tiger in its cage!
  49. 49. Upcoming webinars How to Automatically Create Beautiful Cartographic Labels Using FMEs New MapTextLabeller – March 6 How to Efficiently Transform Non-Spatial Data using FME – March 13Recorded Webinars: http://fme.ly/webinars
  50. 50. Poll: Would you like moreinformation on our freetraining options? View the offerings at:  http://fme.ly/online
  51. 51. We’ll Be Following Up
  52. 52. Thank You! For more information, contact:  Sales  info@safe.com  Support  support@safe.com  (604)501-9985 ext. 278  Dmitri  dmitri.bagh@safe.com  Dale  dal@safe.com

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