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Huang, Bo Institute of Space and Earth Information Science

Generation of spatially and temporally consistent pollution data over urban areas via unified remote sensing image fusion. Huang, Bo Institute of Space and Earth Information Science Department of Geography & Resource Management The Chinese University of Hong Kong

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Huang, Bo Institute of Space and Earth Information Science

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  1. Generation of spatially and temporally consistent pollution data over urban areas via unified remote sensing image fusion Huang, Bo Institute of Space and Earth Information Science Department of Geography & Resource Management The Chinese University of Hong Kong E-mail: bohuang@cuhk.edu.hk

  2. Outline • Remote sensing (RS) • Previous and current work • Unified RS image fusion • Generation of high resolution air pollution data • Pollution data access using mobile phones • Future intended work

  3. NASA’s Polar-Orbiting Satellites

  4. How much RS data so far? • NASA’s Earth Observation System (EOS) program has about 4.2 petabytes (2010) • Large Hadron Collider (physics): 10-14 TB in a single year • Similar sized collections can be expected in Europe and Asia • EOS contains mostly satellite data…not air photos, map or field data

  5. Researchers and users often use the data they can get, not the data they truly need.遙感研究者與使用者只能使用它們能得到的数据，而不是他們真正想要的数据。

  6. Satellite Sensor Properties • Spatial resolution (r1) • Temporal resolution (r2) • Spectral resolution (r3) • Angular resolution (r4) Resolution Trade-off F(r1)*F(r2)*F(r3)*F(r4)  Constant s.t. on-board storage capacity data transmission rate

  7. Unified Fusion • Blending images with high and low spatial, temporal, spectral, and angular resolutions to resolve their resolution difference and generate simultaneously high resolution Spatial-Temporal-Spectral-Angular (STSA) satellite data. • Cost-effective solution.

  8. Spatio-temporal Image Fusion LANDSAT (Revisit EVERY 16 DAYS; 30m) MODIS (Revisit EVERY DAY; 500m) April 2001 July 2001

  9. Land-cover (type) change 2000 2002

  10. Comparison with another algorithm

  11. Spatial and Spectral Fusion …… 36 bands with 500/1000 m spatial resolution … 36 bands with 30 m spatial resolution 7 bands with 30 m spatial resolution

  12. Fusion Software

  13. Retrieval of Air Pollutants from Fused Satellite Imagery

  14. Current MODIS 10km AOD (Aerosol Optical Depth) Product

  15. 2013年03月05日深圳PM2.5反演图

  16. 2013年03月06日深圳PM2.5反演图

  17. 2013年03月07日深圳PM2.5反演图

  18. 智能手机应用程序获取指定位置PM2.5的值

  19. 2013年03月05日深圳NO₂反演图

  20. 2013年03月06日深圳NO₂反演图

  21. 2013年03月07日深圳NO₂反演图

  22. 2013年03月05日深圳SO₂反演图

  23. 2013年03月06日深圳SO₂反演图

  24. 2013年03月06日深圳SO₂反演图

  25. 2013年03月05日深圳O3反演图

  26. 2013年03月06日深圳O3反演图

  27. 2013年03月07日深圳O3反演图

  28. Mobile GIS Design and Implementation Supported by NSERC, Canada

  29. Traffic Simulation and Route Selection 渐进式优化 改变的路径 初始优化路径

  30. Future Work • Improve the air pollution retrieval algorithms by accounting for more land surface data such as transportation, bldg density, etc. • Generate long time-series air pollution data • Reconstruct , e.g. PM 2.5 data, when such data were not available 8 years ago in HK and 2 years ago in mainland China • Improve the air pollution Appsoftware and make it publicly available

  31. Thank you!

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