Your SlideShare is downloading. ×
0
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
FME UC 2014: Hexagon Keynote
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

FME UC 2014: Hexagon Keynote

849

Published on

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 …

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

Published in: Technology
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
849
On Slideshare
0
From Embeds
0
Number of Embeds
4
Actions
Shares
0
Downloads
10
Comments
0
Likes
1
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. 1 Dealing with the Data Deluge Bradley C Skelton CTO – Hexagon Geospatial
  • 2. 2
  • 3. 3 We Have One Constant
  • 4. 4
  • 5. 5
  • 6. 6
  • 7. 7
  • 8. 8
  • 9. 9
  • 10. 10 In An Instant …..
  • 11. 11 … Our World Can Change
  • 12. 12 Geospatial Technology Help to Observe the Change…
  • 13. 13 …To Analyze the Change….
  • 14. 14 …And to Respond Accordingly.
  • 15. 15 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.
  • 57. 57 Analytics Process Raster Data
  • 58. Analytics Process Vector Data
  • 59. Analytics Process Point Cloud Data
  • 60. Analyze Change Fusing Point Clouds and Raster 60
  • 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

×