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1 kraft


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1 kraft

  1. 1. HACKING DEFORESTATION Near real-time tropical forest monitoring @robinkraftCenter for Global Development World Resources Institute
  2. 2. Preview Visualizing monthly pan-tropicaldeforestation data
  3. 3. Space, time & deforestationForest policy requires info on both BUT Focus is usually on spatial detail
  4. 4. Sub-annual data is really useful Identify successful forest policies Correct failing policies Enforce forest regulations
  5. 5. Sub-annual data is really useful Understand influence of exchange rates Measure effect of commodity price swings Identify risk of future clearing
  6. 6. FORMA Forest Monitoring for Action where: 35+ countries* when: 2006-Aug. 2011 monthly resolution: 1km**work in progress: 70+ countries, 500m resolution, every 16 days* coverage is humid tropical forests ** uses MODIS satellite imagery
  7. 7. Riau, IndonesiaLet’s have a look 300km Forest cover in 2000 Tree loss by 2005
  8. 8. Tree loss as of August 2011 Strength of signal Moderate HighForest cover in 2000 Tree loss by 2005 Protected area
  9. 9. NEAR REALTIME MEANS ... Protected area
  10. 10. How’s it work?Come talk to me - only 2 minutes left! Satellite dataMachine learning + OSS & the cloud
  11. 11. WHAT DO WE DO NOW? Make data interesting simple useful accessible
  12. 12. That’s really hard! BUTOtherwise people won’t use it
  13. 13. Seeing change over time is cool/horrifyingBut it’s the most effective visualization we’ve found
  14. 14. #ECOHACKNYC CHALLENGERender tree loss over time ... with Javascript and HTML5 3 easy steps
  15. 15. 1. Encode 75 dates in single image
  16. 16. 2. Load into CartoDB(?)
  17. 17. 3. Vizzuality’s VisualRasterHTML5 magic renders image Scrubbing through time redraws raster on the fly
  18. 18. 4. Make it look nice, work well, etc.
  19. 19. If we finish early: mashups! Deforestation in tiger habitats? Carbon stocks impact?Encroaching on protected areas?Did you bring data? Let’s talk.
  20. 20. Forest Monitoring for Action Coming soon to a forest near youIt’s new data - help make it useful! @robinkraft