full transcript

From the Ted Talk by Jack Dangermond: An ever-evolving map of everything on Earth

Unscramble the Blue Letters


Recently, my colleagues and I developed a new 10-meter glbaol map of land cover for the entire planet. This was computed in less than a week using AI and machine learning. It has given us a clear pcritue of land-cover patterns tdoay and will also be the foundation for us to periodically show change, update the footprint almost in real time. Here, for example, we can see in Malaysia where the demand for palm oil is impacting and consuming natural aeras. In benous Aires, we can see the eeffct of urbanization and sprawl on itapnicmg natural lands around the city. In Xingu, in Brazil, this is a really amazing point, because it's showing where the government has actually lekood ahead and protected certain areas in special zones so that biodiversity will be sustained.

Open Cloze


Recently, my colleagues and I developed a new 10-meter ______ map of land cover for the entire planet. This was computed in less than a week using AI and machine learning. It has given us a clear _______ of land-cover patterns _____ and will also be the foundation for us to periodically show change, update the footprint almost in real time. Here, for example, we can see in Malaysia where the demand for palm oil is impacting and consuming natural _____. In ______ Aires, we can see the ______ of urbanization and sprawl on _________ natural lands around the city. In Xingu, in Brazil, this is a really amazing point, because it's showing where the government has actually ______ ahead and protected certain areas in special zones so that biodiversity will be sustained.

Solution


  1. impacting
  2. picture
  3. global
  4. looked
  5. areas
  6. today
  7. buenos
  8. effect

Original Text


Recently, my colleagues and I developed a new 10-meter global map of land cover for the entire planet. This was computed in less than a week using AI and machine learning. It has given us a clear picture of land-cover patterns today and will also be the foundation for us to periodically show change, update the footprint almost in real time. Here, for example, we can see in Malaysia where the demand for palm oil is impacting and consuming natural areas. In Buenos Aires, we can see the effect of urbanization and sprawl on impacting natural lands around the city. In Xingu, in Brazil, this is a really amazing point, because it's showing where the government has actually looked ahead and protected certain areas in special zones so that biodiversity will be sustained.

Frequently Occurring Word Combinations


ngrams of length 2

collocation frequency
nervous system 3
sustainable future 3
land cover 3
geographic information 2
entire planet 2
rich biodiversity 2
human footprint 2
machine learning 2
geographic approach 2


Important Words


  1. ai
  2. aires
  3. amazing
  4. areas
  5. biodiversity
  6. brazil
  7. buenos
  8. change
  9. city
  10. clear
  11. colleagues
  12. computed
  13. consuming
  14. cover
  15. demand
  16. developed
  17. effect
  18. entire
  19. footprint
  20. foundation
  21. global
  22. government
  23. impacting
  24. land
  25. lands
  26. learning
  27. looked
  28. machine
  29. malaysia
  30. map
  31. natural
  32. oil
  33. palm
  34. patterns
  35. periodically
  36. picture
  37. planet
  38. point
  39. protected
  40. real
  41. show
  42. showing
  43. special
  44. sprawl
  45. sustained
  46. time
  47. today
  48. update
  49. urbanization
  50. week
  51. xingu
  52. zones