Prepare LiDAR Data To Meet Your Requirements
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The document discusses the use of FME (Feature Manipulation Engine) for preparing and sharing LiDAR data, highlighting its capabilities to transform, integrate, and manage spatial data across various formats. It outlines several point cloud solutions involving data processing techniques like tiling, clipping, reprojecting, and colorization, while also addressing common challenges encountered with LiDAR data. Additionally, it promotes FME resources, webinars, and support options for effective data management and usage.
Prepare LiDAR Data To Meet Your Requirements
- 1. Preparing LiDAR Data To Use and Share Solving LiDAR Integration and Transformation Headaches with FME 2012 March 8, 2012
- 2. Who Are We?
- 6. Powering The Flow of Spatial Data
- 7. Poll: Have You Used FME?
- 8. FME Capabilities Transform Data to Use and Share onvert spatial data between hundreds of formats ransform spatial data into the precise data model you need ntegrate multiple different data types into a single data model hare spatial data with people
- 9. Work with all Data Types Point Database Raster Web 3D/BIM XML/GML GIS Clouds CAD
- 10. FME Workbench: Graphical Data Flow Authoring
- 11. Demo
- 12. Poll: Your End Goals
- 13. LiDAR & Point Clouds: The Heartache
- 14. Raster Review
- 15. LiDAR & Point Clouds Are… R RASTERS gone W WILD
- 16. Misbehaviour #1: Huge Data Volumes
- 18. Misbehaviour #3: Multiple Returns At Same Point Nanoseconds Meters First Return Second Return Third Return Fourth Return Fifth/Last Return
- 19. Misbehaviour #4: Many measurements per return
- 20. Misbehaviour #4: Many measurements per return
- 21. Misbehaviour #5: Sometimes captured on ground
- 23. Poll: Your LiDAR Workflows
- 24. Point Cloud Solution 1: Translate
- 25. Point Cloud Solution 1: LAS/LASZ 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)
- 26. Point Cloud Solution 1: LAS/LASZ 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)
- 27. Point Cloud Solution 1: LAS/LASZ LAS Reader/Writer support for versions 1.0– 1.2 LAS Reader and Writer Compression Using Open Source German-Written LASZip technology
- 28. Poll: LiDAR Format Usage
- 29. Point Cloud Solution 2: Inspect
- 30. Point Cloud Solution 3: Reproject
- 31. Point Cloud Solution 3: Reproject Geocentric coordinates support Orthometric heights support
- 32. Point Cloud Solution 3: Reproject Geocentric coordinates support Orthometric heights support
- 35. Point Cloud Solution 4: Tile
- 36. Point Cloud Solution 4: Tile
- 37. Point Cloud Solution 5: Clip
- 38. Point Cloud Solution 5: Clip
- 39. Point Cloud Solution 5: Clip One Billion Point Tiling / Clipping
- 40. Point Cloud Solution 5: Clip One Billion Point Tiling / Clipping
- 41. Point Cloud Solution 5a: Cubic Clip
- 42. Point Cloud Solution 5a: Cubic Clip
- 43. Point Cloud Solution 5a: Cubic Clip
- 44. Point Cloud Solution 6: Thin
- 45. Point Cloud Solution 6: Thin
- 46. Point Cloud Solution 7: Surface Model
- 47. Point Cloud Solution 7: Surface Model
- 48. Point Cloud Solution 7: Surface Model
- 49. Point Cloud Solution 8: Combine
- 50. Point Cloud Solution 8: Combine
- 51. Point Cloud Solution 8a: Combine
- 52. Point Cloud Solution 8b: Combine 3D Model with Textures -> Color Point Cloud
- 53. Point Cloud Solution 9: Split
- 54. Point Cloud Solution 9: Split
- 55. Point Cloud Solution 9a: Split Split by Color & Intensity Ranges
- 56. Point Cloud Solution 9a: Split
- 57. Point Cloud Solution 9a: Split
- 58. Point Cloud Solution 10: Colorization PointCloudOnRasterComponentSetter
- 59. Point Cloud Solution 10: Colorization
- 60. Point Cloud Solution 10: Colorization
- 61. Point Cloud Solution 10: Colorization
- 62. Point Cloud Solution 11: Extents Calculation & Update
- 63. Point Cloud Solution 12
- 64. Point Cloud Solution 12: ArcGIS 10.1 Create .lasd files for quick LAS use in ArcGIS
- 65. Point Cloud Solution 12: ArcGIS 10.1 Create .lasd files for quick LAS use in ArcGIS
- 66. Point Cloud Solution 13: Profiling and Slicing
- 67. Point Cloud Solution 13: Profiling and Slicing
- 68. Point Cloud Solution 14: Performance One Billion Points: Tiling: 4h 45 m Clipping: 10h 30 m One Quarter Billion Points: Surface Modelling: 2h FME Parallel Processing: Point Coercion Done 5x Faster Visit http://fme.ly/parallel
- 69. Server
- 70. FME Server Your transformation workflows: Automated, Centralized, Scheduled, Triggered Send an email, right now, to: lidar@dondemo.safe.com
- 71. FME Server
- 72. Summary FME can help you Prepare to Use and Share your LiDAR Data Quickly!
- 73. Poll: Your LiDAR Solutions
- 74. Learn More About FME Get Acquainted: FME Desktop Intro Webinar http://fme.ly/intro Browse FMEpedia http://fme.ly/lidar FME Free Evaluation Upcoming webinars http://fme.ly/webinars FME & Fusion Tables – Mar 29 FME World Tour Live Stream - April 27 Master Geospatial Metadata with FME - May 10 3D & FME - May 31
- 75. FME Training
- 76. Time Limited Offer! Winners Will Have Until March 31 to register for any online course View the offerings at: http://fme.ly/online MARCH 31
- 77. Question & Answer Ra M E s te F r
- 78. Share Today’s Webinar Today’s webinar was recorded View our archive at: http://fme.ly/archive
- 79. We’ll Be Following Up
- 80. Thank You! For more information, contact: Sales: sales@safe.com (604)501-9985 ext. 287 Support support@safe.com (604)501-9985 ext. 278 Me! dal@safe.com @DaleAtSafe