FME UC 2014: Hexagon Keynote

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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

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FME UC 2014: Hexagon Keynote

  1. 1. 1 Dealing with the Data Deluge Bradley C Skelton CTO – Hexagon Geospatial
  2. 2. 2
  3. 3. 3 We Have One Constant
  4. 4. 4
  5. 5. 5
  6. 6. 6
  7. 7. 7
  8. 8. 8
  9. 9. 9
  10. 10. 10 In An Instant …..
  11. 11. 11 … Our World Can Change
  12. 12. 12 Geospatial Technology Help to Observe the Change…
  13. 13. 13 …To Analyze the Change….
  14. 14. 14 …And to Respond Accordingly.
  15. 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. 16. DATA DRIVES THE ENGINE
  17. 17. 1717 Growing Numbers of Sensors
  18. 18. Aerial imagery Point Cloud Vector Radar Satellite Hyperspectral Thermal Elevation Increasing Variety of Data
  19. 19. Intelligent Data into Actionable Information Analyze Measure Enhance Map Visualize Classify
  20. 20. How? Simple Intuitive GUI’s Powerful and Dynamic modeling Multicore and Distributed Processing GIS, Remote Sensing, Photogrammetry, Server
  21. 21. Who? UtilitiesLocal Government Exploration Natural ResourcesDefense
  22. 22. POINT CLOUD
  23. 23. LiDAR (and other Point Cloud) SOURCES SGM
  24. 24. Point Cloud Exploitation Elevation Intensity Class 2D Visualization
  25. 25. Profile Cloud Exploitation Multiple Views
  26. 26. Point Cloud Exploitatoin Vegetation Encroachment Assessment
  27. 27. Volumetric Analysis Demonstration
  28. 28. SGM Creates “LiDAR Like” Point Clouds
  29. 29. Automated 3D Extraction Demonstration
  30. 30. RADAR
  31. 31. Availability of Radar Data is Increasing © ERDAS, Inc. A Hexagon Company. All Rights Reserved
  32. 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. 33. Optical image of North Sudan. (Copyright Eurimage)
  34. 34. Radar image of North Sudan radar beam penitrates the soil
  35. 35. RADAR Change Detection
  36. 36. Coherence Change Detection © ERDAS, Inc. A Hexagon Company. All Rights Reserved Average Radar Magnitude
  37. 37. Interferometic SAR (InSAR) Elevation Extraction © ERDAS, Inc. A Hexagon Company. All Rights Reserved
  38. 38. InSAR Resolution Comparison TerraSAR-X vs USGS 30m DEM
  39. 39. Ground Subsidence from D-InSAR © ERDAS, Inc. A Hexagon Company. All Rights Reserved Subsidence Map
  40. 40. VIDEO
  41. 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. 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. 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. 44. Video Demonstration
  45. 45. HIGH FREQUENCY COLLECT OPTICAL
  46. 46. Increasing Resolution 30 Meter Resolution 1 Pixel is 30m X 30m 1 Meter Resolution 1 Pixel is 1m X 1m
  47. 47. Digital Globe : 30cm natural color, 60cm infrared Digital Globe 30cm Natural Color
  48. 48. #HxGNLIVE SKYBOX IMAGING HxGN Live Jeddah Saudi Arabia Feb 24 2014
  49. 49. #HxGNLIVE SKYBOX IMAGING HxGN Live Jeddah Saudi Arabia Feb 25 2014
  50. 50. #HxGNLIVE SKYBOX IMAGING HxGN Live Jeddah Saudi Arabia March 13 2014
  51. 51. #HxGNLIVE SKYBOX IMAGING HxGN Live Jeddah Saudi Arabia March 14 2014
  52. 52. #HxGNLIVE SKYBOX IMAGING HxGN Live Jeddah Saudi Arabia March 15 2014
  53. 53. #HxGNLIVE HxGN Live Jeddah Saudi Arabia April 20 2014
  54. 54. Video From Space Demonstration
  55. 55. ANALYTICS
  56. 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. 57 Analytics Process Raster Data
  58. 58. Analytics Process Vector Data
  59. 59. Analytics Process Point Cloud Data
  60. 60. Analyze Change Fusing Point Clouds and Raster 60
  61. 61. Change Detection Using RGBNZ Product 61 5 Band Data Provides Clean Change Detection
  62. 62. Change Detection Using Raster and Vectors Parcel Based Change Detection
  63. 63. Statistical Analytics
  64. 64. HANDLING THE DATA DELUGE
  65. 65. Data Deluge Geospatial data volumes are growing at an ever increasing rate…
  66. 66. Data Deluge Greater Resolution, Greater Coverage, Greater Frequency
  67. 67. Data Deluge Greater Resolution, Greater Coverage, Greater Frequency
  68. 68. New  Airborne  Data  Sources   Data Deluge
  69. 69. Data Deluge New Mobile Data Sources
  70. 70. Demand for Data Management
  71. 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. 72. Describe and publish your data Powerful catalog •  Catalog anything digital •  Centralize metadata •  Automatic data ingest
  73. 73. Discover your data •  Dynamic discovery of dispersed information •  Fine-grained searches
  74. 74. Geoprocessing Spa3al  Models  as  a  Service  
  75. 75. Delivery to Users
  76. 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. 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. 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. 79. Delivery Demonstration
  80. 80. SUMMARY
  81. 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. 82. THANK YOU

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