~/talk

Mosaicking the Earth every day

Talkat PyData Seattle 2017 · 2017-06-30..07-02· [data-visualization, web-performance]
slides:none on file

Planet images most of the land every day with about 140 satellites after an 88‑satellite PSLV launch and now brings down 150 million square kilometers per day into a pipeline built on GDAL and Python (C/C++ for heavy work) that processes terabytes daily and archives petabytes. Global mosaics are assembled by selecting cloud‑free scenes, applying color normalization beyond naive histogram matching, and removing seams with gradient blending. Monthly, weekly and moving‑toward daily 5‑meter mosaics exist and the methods are operational.

AI-written summary · about

  1. 0:00Planet Labs and daily imaging
  2. 3:19Growth in Earth imaging capacity
  3. 6:34Record satellite deployment Feb 2017
  4. 9:02Multispectral satellite imagery
  5. 10:28Recent Earth observation examples
  6. 12:20Raw images to global maps
  7. 14:10Open-source mosaic tools
  8. 16:01Cloud-free mosaic challenges
  9. 18:49Color normalization methods
  10. 21:43Histogram matching for color balancing
  11. 23:31Gradient blending for seams
  12. 23:53Global summer base map stats
  13. 25:28Monthly global mosaics 2016-2017
  14. 27:41Progress to weekly mosaics
  15. 29:07Future daily dynamic mosaics
  16. 30:31Access Planet’s data products
  17. 32:43Q&A
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