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Digital Globe Presentation for Earth Observation in the Cloud Demo Day

Presenter: Shay Har-Noy, Digital Globe

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Digital Globe Presentation for Earth Observation in the Cloud Demo Day

  1. 1. @iheartcrowds
  2. 2. Crowdsourcing 2 3,500,000 km2 collected EVERY DAY 13,200,000,000,000 pixels
  3. 3. Last 3 Days
  4. 4. Last 14 Days
  5. 5. Last 3 Months
  6. 6. Heavy Data Big Data
  7. 7. 1900x size of Landsat8 60x size of PlanetLabs Landsat 8 15m GSD Average scene size 0.5 GB Planet Labs Doves 3-5m GSD Equivalent size 16 GB WorldView 3 0.3m GSD Equivalent size 941 GB * Planet Labs |©Landsat/USGS
  8. 8. Big Data
  9. 9. Geospatial Big Data Extract information from imagery at scale…
  10. 10. Show me there Show me where!
  11. 11. 13 Show me where…remote dwellings are located
  12. 12. Show me where…all the vehicles are
  13. 13. New Construction Show me where…all the new construction is
  14. 14. Show me where…there is change AfterBefore And what that change is…
  15. 15. Every day we create 2.5 quintillion bytes of data …. 90% of the data in the world has been created in the last two years alone - IBM
  16. 16. 1. Processing TB of high quality multiband imagery requires storage and compute Cloud based compute platform to move the Compute to the Data Tier based pricing with Developer friendly tiers to encourage innovation What are we doing to solve Big Data problems? 2. Selling per km2 “data as an asset” pricing is expensive for large scale extractions
  17. 17. Geospatial Big Data Platform GBD Storage GBD Compute GBD Customer Tools DigitalGlobe Factory
  18. 18. GBD on AWS Catalog API Workflow API DG Factory & Archive Landsat8 in S3 Docker Hub Developer Community Fat UDP Pipe Task Workers GBD Enabled App Algorithm Developers New Algorithm Ordering DG Imagery in S3
  19. 19. Example: California water wasters -3% 4300 image strips 30 TBs of data going back 5 years Identify and quantify rate of water usage
  20. 20. Big Data Approach to water use NDVI w/thresholdin g Model Additional data (county records, water co estimates,…) Thousands of opportunistic images
  21. 21. Shay Har-Noy, Ph.D. @iheartcrowds