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: [email protected]
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Generation of spatially and temporally consistent pollution data over urban areas via unified remote sensing image fusion Huang, Bo Institute of Space.
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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 ScienceDepartment of Geography & Resource Management
F(r1)*F(r2)*F(r3)*F(r4) Constants.t. on-board storage capacity data transmission rate
Resolution Trade-off
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.
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Spatio-temporal Image Fusion
April 2001 July 2001
LANDSAT (Revisit EVERY 16 DAYS; 30m)
MODIS (Revisit EVERY DAY; 500m)
Land-cover (type) change
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2000 2002
Comparison with another algorithm
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…36 bands with 500/1000 m spatial resolution
7 bands with 30 m spatial resolution
36 bands with 30 m spatial resolution
Spatial and Spectral Fusion
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MODIS
CSM
LPCA
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SASFM
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MODISCSMLPCASaUSASFM
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(b)(a)
(c) (d)
Fusion Software
Retrieval of Air Pollutants from Fused Satellite Imagery
Current MODIS 10km AOD (Aerosol Optical Depth) Product
2013 年 03 月 05 日深圳 PM2.5 反演图
2013 年 03 月 06 日深圳 PM2.5 反演图
2013 年 03 月 07 日深圳 PM2.5 反演图
智能手机应用程序获取指定位置 PM2.5的值
2013 年 03 月 05 日深圳 NO₂ 反演图
2013 年 03 月 06 日深圳 NO₂ 反演图
2013 年 03 月 07 日深圳 NO₂ 反演图
2013 年 03 月 05 日深圳 SO₂ 反演图
2013 年 03 月 06 日深圳 SO₂ 反演图
2013 年 03 月 06 日深圳 SO₂ 反演图
2013 年 03 月 05 日深圳 O3 反演图
2013 年 03 月 06 日深圳 O3 反演图
2013 年 03 月 07 日深圳 O3 反演图
Mobile GIS Design and Implementation
Supported by NSERC, Canada
初始优化路径
改变的路径
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5% 10% 20% 30% 40%Percentage of Link Costs Changed
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Static A*
LPA* withoutconstrained ellipse
LPA* withconstrained ellipse
渐进式优化
Traffic Simulation and Route Selection
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 App software and make it publicly available