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CSEOL Pitch - Schools and Satellites

  1. <16 % correlation with GMet ground stations <20 % of ground stations in Ghana than in Europe
  2. Aerosols Land surface temperature Ground Truth Data
  3. If it doesn’t work right, go left!
  4. Schools and Satellites A reliable rainfall product for West-Africa CSEOL Pitch
  5. Algorithm Development Ground Truth Data Demo Day December 2020 PoC Algorithm Training and validation Validate Algorithm Start of Citizen Science pilot Start engaging schools Share resultsEducational module S e p t e m b e r 2 0 1 9
  6. Citizen Science Hydrology Earth Observation Project Management Ghanaian local situation Machine Learning Meteorology
  7. So, why do we need the money?
  8. 70.000 euros
  9. So let it rain knowledge! CSEOL pitch – Team SaS
  10. Engagement • Get schools engaged • TAHMO and GMet network with schools • Visits & outreach • During the project • Sensing umbrellas • Internet time • Competition between schools and groups

Editor's Notes

  1. Building of the algorithm Trainings Data tweaking Test, test, test Educational modules Citizen Scientists liking the project Showing the results – news of the project Measuring the interaction/engagement/satisfaction of citizen scientists. Internet time To build the project & give back to the citizen scientists