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DigitalGlobe Dr. Walter Scott NVTC 2017 Capital Data Summit Presentation

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DigitalGlobe Founder, Executive Vice President and Chief Technical Officer Dr. Walter Scott provided closing keynote remarks at the NVTC 2017 Capital Data Summit. In his presentation (attached), Dr. Scott discussed how satellite imagery and remote sensing are harnessing big data at a global scale. He explained trends that are enabling large scale analytics and shared how DigitalGlobe’s imagery and analytics solutions are being put into practice to serve a variety of customers and social causes.

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DigitalGlobe Dr. Walter Scott NVTC 2017 Capital Data Summit Presentation

  1. 1. See a better world.™ Harnessing Big Data at Planetary Scale
  2. 2. How we got here…
  3. 3. It began with global transparency Soviet Launch Facility … for a few
  4. 4. SPOT brought transparency to a broader audience 4 Chernobyl May 1986 SPOT-1 10m/20m GSD
  5. 5. The modern industry was born in 1992 5 Moore’s Law 1992 Land Remote Sensing Policy ActEnd of the Cold War Idle HandsSatellite Technology
  6. 6. Today, remote sensing is becoming ubiquitous 6
  7. 7. It’s a BIG planet 7
  8. 8. Enabling Analytics at Global Scale 8
  9. 9. The data management challenge 9
  10. 10. The data management challenge 10
  11. 11. Our scale envelopes the rest of the industry 11 0 20 40 60 80 100 120 DigitalGlobe UrtheCast TerraBella AirbusD&S ImageSat SIIS 21AT UrbanObserver QinetiQSpace BluePlanet AxelSpace Planet OmniEarth AquilaSpace PlanetaryResources NorthStar HeraSystems BlackSkyGlobal Satellogic TerabytesperDayCollected Operational Funded Seeking Funding Pan Res. .31m .50m .80m .70m .50m .55m <1m .70m 1m.40m 3-5m2.5m 2m 2.5/22m 10/15m TBD 1-2m1m 1-2m <1m resolution points + area >1m resolution area ~1m resolution points
  12. 12. 12
  13. 13. We captured these data boulders … 13 But they were stuck “in jail”
  14. 14. Engineering the jailbreak 14
  15. 15. Three trends have enabled large scale analytics 15 1. Elastic cloud computing
  16. 16. How do we get 100 PB into the cloud? 16 300 years (home broadband) 6–18 months (DirectConnect) X 1,400
  17. 17. 17
  18. 18. … or a bigger “snowball” 18 – a Snowmobile
  19. 19. Three trends have enabled large scale analytics 19 hidden layer 1 hidden layer 2 hidden layer 3 2. Deep Learning Excels at pattern recognition
  20. 20. Three trends have enabled large scale analytics 21 3. Crowdsourcing Train the machine QA its output
  21. 21. Our crowd trains AI at massive scale 9 MILLION TOMNOD VISITORS 670,000 REGISTERED EMAILS 19 MILLION TAGS PLACED 1,200,000,000 km2 SATELLITE IMAGERY VIEWED BY THE CROWD 500,000 AI training images extracted 22
  22. 22. Harnessing Remote Sensing at Global Scale 23
  23. 23. Building country-scale geo databases 24 ~15,000,000 structures
  24. 24. … including roof types (from SWIR) 25
  25. 25. Finding where people live 26 … to connect them Naivasha, KenyaNaivasha, Kenya population density
  26. 26. Monitoring Pipelines 2/21/201727 Answer “Results” Explorer Analysis Results
  27. 27. AnswerFactory: “Show me where …?” 28
  28. 28. 29
  29. 29. 30
  30. 30. Answering “show me where …?” 31
  31. 31. ... enabling a growing ecosystem 32 U.S. Government
  32. 32. Seeing A Better World 33
  33. 33. IUU Fishing is a complex, global issue 34 Caused by too many fishers chasing too few fish Worsened by economic insecurity Results in destruction of habitat and decreased stocks
  34. 34. 39 See a better world.™

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