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The Intergraph Portfolio picks up the data processing and management process at all levels. Focus here is on IMAGINE.
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SMARTERDECISIONS
Tony Kent
Applications Engineer
IMGS
Point Clouds – What’s the point?
Point Clouds from..
• 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.
Terrestrial LiDAR
Rotary-wing LiDAR
Mobile LiDAR
Lidar Acquisition
Fixed-wing LiDAR
Point clouds in the coming years
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• Data accuracy will continue to increase (improved GPS)
• Volume will grow substantially
• Expectation of access to and ability to work with this data will increase
• Its less than 8 years since the first Lidar data was collected by OSi in Ireland
• Current coverage is 45% with 30% processed to DTM
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DEMO
Video 1 – LiDAR and Aerial Imagery
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Video 2 – Changing or deleting z values
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Video 3 – Powerlines and vegetation encroachment
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Cork IT
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Ringfort in Co. Meath?
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Powerlines
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Mobile Lidar – Gas Station - National Grid Gas Trial
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Flood Mapping
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Peat Bog depths
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Motorway Survey
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Noise Mapping - N7 Naas
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Applications that will emanate from the accurate data
• 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
ERDAS IMAGINE and LPS LiDAR Capabilities
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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
Point Cloud Data Management
ERDAS Apollo
APOLLO Data Management
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• Data Management
• Data Analysis
• Data Delivery
Data Production can exist on different levels with the portfolio
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• 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
Features of Apollo
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Catalogue
Discover
Batch edit Metadata
Style and visualize in web client
Execute web service models based on rasterized LiDAR data
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Server
Security & Administration
Discovery ServiceData Mgmt.
ServiceDelivery Service Enterprise Services
Catalog &MetadataEnterprise database
Unstructured data(raster, vector, point
clouds, motion video, …)Other data & services
Geo- / SDI Portal Smart Client
WebMap APOLLO
Geospatial Server
GeoMedia
Desktop
Smart
Client
Browser
Client
Mobile
ClientImageStation
IMAGINE
LPS
A System Structure through which point cloud can pass
SMARTERDECISIONS
Got the point?
Any questions?
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