The Intergraph Portfolio picks up the data processing and management process at all levels. Focus here is on IMAGINE.

1. Point Clouds – What’s the point?
Tony Kent
Applications Engineer
IMGS
SMARTERDECISIONS

2. Point Clouds from..
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Lidar Data sources are the growing accurate data of choice
Photogrammetry remains quick and inexpensive
Drones are on their way
Data volumes – MASSIVE
No. of applications driven from this data – HUGE
Industries benefit from this data – GROWING
The Intergraph Portfolio picks up the data processing and management
process at all levels.
Focus here is on IMAGINE.

3. Lidar Acquisition
Terrestrial LiDAR
Fixed-wing LiDAR
Mobile LiDAR
Rotary-wing LiDAR

4. Point clouds in the coming years
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Data accuracy will continue to increase (improved GPS)
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Volume will grow substantially
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Expectation of access to and ability to work with this data will increase
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Its less than 8 years since the first Lidar data was collected by OSi in Ireland
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Current coverage is 45% with 30% processed to DTM
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5. DEMO
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6. Video 1 – LiDAR and Aerial Imagery
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7. Video 2 – Changing or deleting z values
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8. Video 3 – Powerlines and vegetation encroachment
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9. Cork IT
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10. Ringfort in Co. Meath?
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11. Powerlines
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12. Mobile Lidar – Gas Station - National Grid Gas Trial
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13. Flood Mapping
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14. Peat Bog depths
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15. Motorway Survey
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16. Noise Mapping - N7 Naas
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17. Applications that will emanate from the accurate data
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Flood Modeling – Look at Fluvial, River or Sewer Floods
Vegetation Extraction – Powerlines near trees
Tree Crown extraction – Subsidence Models
Line of Sight – Security Services, Telecoms
Light Modeling – Local Authorities
Buildings Heights – Gas Pressure, Water Pressure
3D Flythroughs – New Developments , Public Consultations
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18. ERDAS IMAGINE and LPS LiDAR Capabilities
Terrain Analysis and 2D visualization
(slope, Aspect, shading, viewshed,
intervisibility) – as a raster
Import / Export, Merge, Split, Thin
Generate contours
Use in Ortho generation
Create LAS in eATE
Edit TIN’s in Terrain Editor
3D visualization as a Raster in
VirtualGIS
Classification cue in IMAGINE
Objective
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19. Point Cloud Data Management
ERDAS Apollo

20. APOLLO Data Management
• Data Management
• Data Analysis
• Data Delivery
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21. Data Production can exist on different levels with the portfolio
• Manage the Data – APOLLO
• Distribute and Find the Data – APOLLO
• Process and Filter the Data – ERDAS Imagine 2013
• Visualise the data – ERDAS IMAGINE, LPS
• Product creation and attribution – GeoMedia, IMAGINE
• Field attribution – Location Publisher Mobile
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22. Features of Apollo
Catalogue
Discover
Batch edit Metadata
Style and visualize in web client
Execute web service models based on
rasterized LiDAR data
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23. A System Structure through which point cloud can pass
GeoMedia
Desktop
IMAGINE
LPS
ImageStation
Smart
Client
Browser
Client
Mobile
Client
Server
Discovery Service
Delivery Service
Data Mgmt.
Service
Enterprise Services
Security & Administration
Geo- / SDI Portal
Smart Client
Geospatial Server
WebMap
Enterprise database
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APOLLO
Other data & services
Catalog &
Metadata
©2013 Intergraph Corporation
Unstructured data
(raster, vector, point
clouds, motion video, …)
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24. Got the point?
Any questions?
SMARTERDECISIONS
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