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Wood VS Wings

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Wood VS Wings

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Trees and Airplanes don't play nicely together. Many airports face the constant struggle of ensuring that obstacles, like trees, do not threaten the safe operation of arriving and departing aircraft. How does YYJ, located on the west coast of Canada, in area known for its especially large trees, deal with this issue? LiDAR is often used to capture the height of obstacles around the airport, but what do you do with all that data?

This presentation will show how FME is used by YYJ to manipulate the LiDAR data, develop cost estimates for removal and develop layers for an ArcGIS Online management tool.

Trees and Airplanes don't play nicely together. Many airports face the constant struggle of ensuring that obstacles, like trees, do not threaten the safe operation of arriving and departing aircraft. How does YYJ, located on the west coast of Canada, in area known for its especially large trees, deal with this issue? LiDAR is often used to capture the height of obstacles around the airport, but what do you do with all that data?

This presentation will show how FME is used by YYJ to manipulate the LiDAR data, develop cost estimates for removal and develop layers for an ArcGIS Online management tool.

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Wood VS Wings

  1. 1. Woods vs. Wings
  2. 2. FME User Conference 20 22 Tim Albert GIS Coordinator Victoria Airport Authority Victoria International Airport British Columbia, Canada
  3. 3. 20 22 FME User Conference Trees (Woods) and Airplanes (Wings) don’t belong in the same airspace. Watch FME conquer all our LiDAR data fears.
  4. 4. 20 22 FME User Conference Finding the Tree Tops 1) Traditional Solution 2) LiDAR to the Rescue??? 3) FME Rescues the Rescuer 4) Managing the Results with AGO 5) What’s Next Now I can see the trees!!!
  5. 5. 20 22 FME User Conference Traditional Survey Captured Obstacle Missed Obstacle
  6. 6. LiDAR to the Rescue??? Light Detection And Ranging ● Consistent Data Collection ● Relative Cost Effective (Similar Cost to Traditional Survey) ● Large Amount of Data ● Study Area 74,259,236 Points ● How To Display and Analyze Effectively
  7. 7. 20 22 FME User Conference FME Rescues the Rescuer!! Confession of a FME Kleptomaniac – All these ideas are stolen FME let me easily TRANSMOGRIFY the LiDAR data into usable data products: • Colourize the LiDAR Points • Compare to the Airport’s Obstacle Limitation Surface (OLS) • Identify Obstacles as 3D Areas and Assign IDs • Create Cost Estimates for Removal FME made the whole process easily repeatable with all future LiDAR Datasets. Transmogrify = transform in a surprising or magical manner.
  8. 8. 20 22 FME User Conference Colourize LiDAR
  9. 9. 20 22 FME User Conference Transmogrify the Data with FME Convert OLS 3D Surfaces to Raster DEM (Rough Elevation)
  10. 10. 20 22 FME User Conference Add OLS “Rough” Elevation and Ground Elevation as Point Cloud Components Transmogrify the Data with FME
  11. 11. 20 22 FME User Conference Compare Point Cloud Z with OLS Elevation Store as New Point Cloud Component Transmogrify the Data with FME
  12. 12. 20 22 FME User Conference Filter Point Cloud Points to find ones that are close to (within 2m below or above) the OLS and Not on the Ground 3m 10s Transmogrify the Data with FME
  13. 13. 20 22 FME User Conference Convert Point Cloud to Point Features (Only ~1.1 million of ~74 million Points left after filters) Transmogrify the Data with FME
  14. 14. 20 22 FME User Conference Drape on Original OLS 3D Surfaces Assign “Actual” OLS Elevation to Each Point 6m 20s Transmogrify the Data with FME
  15. 15. 20 22 FME User Conference Convert data back to Point Cloud then Multipoint Feature Hull Accumulator Creates Logical Areas Grouping Points 8m 14s Transmogrify the Data with FME
  16. 16. 20 22 FME User Conference Unique Identifiers General Areas in CAD as Polylines Determine Rotation using PolylineAnalyzer
  17. 17. Unique Identifiers Consistent Way to Identify Obstacles ● For Referencing During Clearing and Removal ● Compare Between Years ● My Sanity
  18. 18. 20 22 FME User Conference Unique Identifiers General Areas in CAD Tiler (~88,000 Identifier 10m x 10m Regions)
  19. 19. 20 22 FME User Conference Managing the Results with AGO Use ESRI products to create Management Tools: • AGO 2D and 3D Applications to Interact with the Data • Manage Data Locally and Push to AGO using FME • Use FME to Create Cost Estimates for Removal • AGO 2D Dashboard Apps to Examine Removal Estimate Ranges AGO = ESRI’s ArcGIS Online
  20. 20. 20 22 FME User Conference AGO Mobile App • Map for use in ArcGIS Field Maps • IOS / Android • Shows Obstacle Areas with Details • Removal Estimates and Actual Costs • Manage Paperwork Place your screen capture here
  21. 21. 20 22 FME User Conference AGO Desktop App • 3D WebApp • Work with the LiDAR data and Final Data in 3D • Point Cloud Scene Layer Package • Launch OLS Obstacle Management 3D App Place your screen capture here
  22. 22. 20 22 FME User Conference AGO Dashboard • 2D Dashboard App • Cumulative Removal Area Estimates • Launch Current Removal Dashboard Place your screen capture here
  23. 23. 20 22 FME User Conference AGO Dashboard • 2D Dashboard App • Future Removal Area Estimates • Potential Obstacles Currently 1m or 2m below OLS • Launch Future Removal Dashboard Place your screen capture here
  24. 24. 20 22 FME User Conference Using FME to Create Practicle Products From LiDAR Data is Easy
  25. 25. 20 22 FME User Conference Don’t Fear the Point Cloud Raster Data and PointClouds Make a Great Team
  26. 26. Thank You! tim.albert@victoriaairport.com

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