1.
Woods vs. Wings

2.
FME
User
Conference
20
22
Tim Albert
GIS Coordinator
Victoria Airport Authority
Victoria International Airport
British Columbia, Canada

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.
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.
20
22
FME
User
Conference
Traditional Survey
Captured
Obstacle
Missed Obstacle

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.
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.
20
22
FME
User
Conference
Colourize LiDAR

9.
20
22
FME
User
Conference
Transmogrify the Data with FME
Convert OLS 3D Surfaces to Raster DEM (Rough Elevation)

10.
20
22
FME
User
Conference
Add OLS “Rough” Elevation and Ground Elevation as
Point Cloud Components
Transmogrify the Data with FME

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.
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.
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.
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.
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.
20
22
FME
User
Conference
Unique Identifiers
General Areas in CAD as Polylines
Determine Rotation using PolylineAnalyzer

17.
Unique Identifiers
Consistent Way to Identify
Obstacles
● For Referencing During Clearing
and Removal
● Compare Between Years
● My Sanity

18.
20
22
FME
User
Conference
Unique Identifiers
General Areas in CAD
Tiler (~88,000 Identifier 10m x 10m Regions)

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
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.
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.
20
22
FME
User
Conference
AGO Dashboard
• 2D Dashboard App
• Cumulative Removal Area Estimates
• Launch Current Removal Dashboard
Place your screen capture here

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.
20
22
FME
User
Conference
Using FME to Create Practicle
Products From LiDAR Data is Easy

25.
20
22
FME
User
Conference
Don’t Fear the
Point Cloud
Raster Data and PointClouds
Make a Great Team

26.
Thank You!
tim.albert@victoriaairport.com