Bradley Skelton, Chief Technology Strategist for Geospatial Portfolio at Hexagon Geospatial, looks at the increasing amount and variety of data available that can be turned into actionable information. See more presentations from the FME User Conference 2014 at: www.safe.com/fmeuc

1. 1
Dealing with the Data Deluge
Bradley C Skelton
CTO – Hexagon Geospatial

2. 2

3. 3
We Have One Constant

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5. 5

6. 6

7. 7

8. 8

9. 9

10. 10
In An Instant …..

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… Our World Can Change

12. 12
Geospatial Technology Help to Observe the Change…

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…To Analyze the Change….

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…And to Respond Accordingly.

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REAL
World
Events
DIGITAL
World
Models
A constant flow
of information
fuses the Real World
(as is/as built)
with the Digital World
(as planned/
as designed)
SENSOR
Fusing the Real and Digital World
SOFTWARE
Geospatial Technology Models the World

16. DATA DRIVES THE ENGINE

17. 1717
Growing Numbers of Sensors

18. Aerial imagery
Point Cloud
Vector
Radar
Satellite Hyperspectral
Thermal Elevation
Increasing Variety of Data

19. Intelligent Data into Actionable Information
Analyze
Measure
Enhance
Map
Visualize
Classify

20. How?
Simple Intuitive GUI’s
Powerful and Dynamic modeling
Multicore and Distributed Processing
GIS, Remote Sensing, Photogrammetry, Server

21. Who?
UtilitiesLocal Government Exploration Natural ResourcesDefense

22. POINT CLOUD

23. LiDAR (and other Point Cloud) SOURCES
SGM

24. Point Cloud Exploitation
Elevation Intensity Class
2D Visualization

25. Profile Cloud Exploitation
Multiple Views

26. Point Cloud Exploitatoin
Vegetation Encroachment Assessment

27. Volumetric Analysis Demonstration

28. SGM Creates “LiDAR Like” Point Clouds

29. Automated 3D Extraction Demonstration

30. RADAR

31. Availability of Radar Data is Increasing
© ERDAS, Inc. A Hexagon Company. All Rights Reserved

32. Radar Exploitation
• Goes beyond traditional
optical systems.
• Penetrates clouds and is
active at night.
• Interferometry can detect
and measure small change
• Commercial sources in
include : RadarSat 1 & 2,
TeraSarX, Cosmo-Skymed
• Indian Radar Sensor: RISAT
1 & 2
32

33. Optical image of North Sudan.
(Copyright Eurimage)

34. Radar image of North Sudan
radar beam penitrates the soil

35. RADAR Change Detection

36. Coherence Change Detection
© ERDAS, Inc. A Hexagon Company. All Rights Reserved
Average Radar Magnitude

37. Interferometic SAR (InSAR) Elevation Extraction
© ERDAS, Inc. A Hexagon Company. All Rights Reserved

38. InSAR Resolution Comparison
TerraSAR-X vs USGS 30m DEM

39. Ground Subsidence from D-InSAR
© ERDAS, Inc. A Hexagon Company. All Rights Reserved
Subsidence Map

40. VIDEO

41. UAS From Defense to Commercial
Surveillance platforms – manned,
unmanned (UAS), optionally manned
Classification of UAS types
• Size – micro, small, medium,
large
• Endurance – short, medium, long
• Type – fixed wing, helicopter
(single or multirotor), gyrocopter,
aerostats
Wikipedia – List of unmanned
systems – 100s of systems around
the world
Video from commercial space-based
platforms – Skybox, UrTheCast

42. UAS SENSORS
UAS sensors – photo,
multispectral, video, LiDAR
• Photo, multispectral, LiDAR -
suited for mapping, exploitation
by photogrammetric software.
• Video - suited for applications
which require capturing
continuous live action for
immediate action or forensic
review

43. UAS Application
UAV driven power line
monitoring is safer and can
cost far less than having a
person climb and inspect each
pole.
43

44. Video Demonstration

45. HIGH FREQUENCY COLLECT
OPTICAL

46. Increasing Resolution
30 Meter Resolution
1 Pixel is 30m X 30m
1 Meter Resolution
1 Pixel is 1m X 1m

47. Digital Globe : 30cm natural color, 60cm infrared
Digital Globe 30cm Natural Color

48. #HxGNLIVE
SKYBOX IMAGING
HxGN
Live
Jeddah Saudi Arabia Feb 24 2014

49. #HxGNLIVE
SKYBOX IMAGING
HxGN
Live
Jeddah Saudi Arabia Feb 25 2014

50. #HxGNLIVE
SKYBOX IMAGING
HxGN
Live
Jeddah Saudi Arabia March 13 2014

51. #HxGNLIVE
SKYBOX IMAGING
HxGN
Live
Jeddah Saudi Arabia March 14 2014

52. #HxGNLIVE
SKYBOX IMAGING
HxGN
Live
Jeddah Saudi Arabia March 15 2014

53. #HxGNLIVE
HxGN
Live
Jeddah Saudi Arabia April 20 2014

54. Video From Space Demonstration

55. ANALYTICS

56. Dynamic Interactive Analytics
Spatial Modeling is the
process of extracting
information from
geospatial data
• A deep toolbox of
operations is required.
• Fusing many different
data types extracts
more information.
• Graphical and
Interactive make it
intuitive and easy to
use.

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Analytics
Process Raster Data

58. Analytics
Process Vector Data

59. Analytics
Process Point Cloud Data

60. Analyze Change Fusing Point Clouds and Raster
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61. Change Detection Using RGBNZ Product
61
5 Band Data Provides Clean Change Detection

62. Change Detection Using Raster and Vectors
Parcel Based Change Detection

63. Statistical Analytics

64. HANDLING THE DATA DELUGE

65. Data Deluge
Geospatial data volumes
are growing at an ever
increasing rate…

66. Data Deluge
Greater Resolution, Greater Coverage,
Greater Frequency

67. Data Deluge
Greater Resolution, Greater Coverage,
Greater Frequency

68. New
Airborne
Data
Sources
Data Deluge

69. Data Deluge
New Mobile Data Sources

70. Demand for Data Management

71. Solving the “Bounding Box” problem
Given a bounding box in space, and a given time period, discover and access
all available, relevant & authorized information within that area.
Geospatial Data Types
Maps, Imagery, Features, Terrain, Place
Names, Buildings, Infrastructure, Roads,
Political Boundaries, Hydrographic,
Geodetic, etc.Location References in Structured
Data
Relational Databases, Travel Itineraries,
Financial Transactions, Corporate Data,
Personnel Records, Statistical Data, etc.
Sensor Data
EO, Spectral, Radar, LiDAR,
Infrared, FMV, in situ, GPS,
etc.
Access from Any Device
Desktop, Laptop, PDA, Wireless,
Smartphone
Location References in Unstructured
Data
News Reports, Publications, Manifests,
Internet, World Wide Web, Audio, Video, etc.

72. Describe and publish your data
Powerful catalog
• Catalog anything digital
• Centralize metadata
• Automatic data ingest

73. Discover your data
• Dynamic discovery of
dispersed information
• Fine-grained searches

74. Geoprocessing
Spa3al
Models
as
a
Service

75. Delivery to Users

76. 1000
Gb
400
Gb
50
Gb
1300
Gb
Uncompressed
Original
Numerically
Lossless
Compression
ECW Visually
Lossless
Compression
Disk Space Is Still an Issue
ECW image compression:
• Instant storage savings
• Faster performance
• Full visual quality
Uncompressed
Original & Pyramids

77. Tiling is Complicated and Disk Intensive
Efficient processing and
simple data structure:
• Easier to manage
• Cost effective
• Single source of truth
• One format to serve all
software clients
Raw Imagery
+ 1 ECW mosaic file
Raw Imagery
+ Image Tiles
+ Tile Pyramids
+ Mosaic Overviews
+ Tile Cache
ECW
Approach
Conventional
Approach

78. $ cost per month
$ 4,700
ECW
$ 82
$ 6,200
$ 4,600
Originalwithpyramids
…plustile-cache17levels
…plustile-cache19levels
Real Cost Savings on the Cloud
Amazon S3 cloud storage
cost comparison
98% lower costs using ECW
>$4.6k monthly saving
Up to $73k annual saving
* Data generated using the Amazon S3 Cloud Calculator

79. Delivery Demonstration

80. SUMMARY

81. 8181
Our Vision
Our vision is to provide the tools that
enable people to collect, organize and
analyse the growing deluge of data to
effectively make sense of the ever
changing world.

82. THANK YOU