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A Remote Sensing Study of the Urban Heat Island (UHI) Effect in the St. Louis Metropolitan Area, MO      Kusumakar Bhusal
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Introduction Urban Heat Island (UHI) : Noticeable difference in temperature profile between the City and its outskirts Elevated air and surface temperatures in urban areas relative to surrounding suburban and rural areas (Solecki et al. 2005) Figure 1. Classic UHI Pattern in a City Area  (Source – EPA 2006 )
Figure 2. The Urban Energy Budget  Source: EPA 2006 SUN
Literature Review ,[object Object],[object Object],[object Object],[object Object]
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Research Questions ,[object Object],[object Object],[object Object],[object Object]
Methodology ,[object Object],[object Object],Figure 3. Landsat ETM+ Satellite Capture
Figure 4. Study Area
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Figure 5. Landsat 7 Satellite
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[object Object],Table 1. Typical Emissivities of Common materials Over the range of 8 – 14 µm Material Average Emissivity  (µm) Clear water 0.98 – 0.99 Wet Snow 0.98 – 0.99 Green Vegetation 0.96 – 0.99 Asphaltic concrete 0.95 – 0.98 Glass 0.77 – 0.81 Aluminum foil 0.03 – 0.07 Highly polished gold 0.02 – 0.03
Figure 6.  Working Model for Calculating Kinetic Temperature
[object Object],[object Object],[object Object],[object Object]
Figure  7. Transect Overlay on Surface Temperature Map
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[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
Table. Land-use Combinations used Commercial / Residential Commercial / Agricultural Commercial / Forest Commercial / water Residential / Agricultural Residential / Forest Residential / Water Agricultural / Forest Agricultural / Water Forest / Water
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Figure 8.  Land Surface Temperature (Grey Scale ) Results
Figure 9.  UHI Profile along  WE and NS Transects
Figure 10.  UHI Profile along NW-SE and NE-SW Transects
Figure 11.  Spatial Distribution of UHI in St. Louis Area
Figure 12.  Land-use Types in St. Louis Metropolitan Area
Figure 13.  Land-use Map - 3D View
Figure 14.  Grey Scale Normalized Difference Vegetation Index (NDVI) Map
Figure 15.  Classified Normalized Difference Vegetation Index (NDVI) Map
Figure 16. Comparison between Surface Temperature, Land-use and NDVI
Figure 17.  Average Temperature  Figure 18. Average NDVI Table 1. Summary Statistics of Average Temperature and NDVI for each Land-use Type  Landuse Surface Temperature (Degree Celsius) NDVI Code Type Max. Min. Mean Std. Dev Max. Min. Mean Std. Dev. 1 Commercial 43 25 27.48 1.74 -0.39 0.13 -0.16 0.10 2 Residential 33 22 24.52 1.67 -0.64 0.58 0.08 0.16 3 Agricultural 27 21 22.43 0.78 0.63 -0.40 0.36 0.15 4 Forest 23 20 21.79 0.50 0.54 0.36 0.43 0.11 5 Water 23 21 22.50 0.56 -0.65 -0.26 -0.42 0.05
[object Object],Table 2. Pairwise t- test Comparison    One tailed t-test Land-use  Combination t-score Sig. Level ( α) Comm. / Res. 485.2 0.01 Comm.  / Agri. 1578 0.01 Comm. / Forest 1016.07 0.01 Comm. / Water 1310.52 0.01 Res. / Agri 267.94 0.01 Res. / Forest 557.1 0.01 Res. / Water 748.14 0.01 Agri. / Forest 193.93 0.01 Agri. / Water 8.75 0.01 Forest / Water 142 0.01
[object Object],[object Object],[object Object]
Table 3. Correlation Between NDVI and Surface Temperature  Correlation Analysis Negative Correlation existed between NDVI and land surface  Temperature for all land-use types Land-use  Land-use Correlation  code Type Coefficient (r) 1 Commercial -0.56 2 Residential -0.30 3 Agricultural -0.25 4 Forest -0.50 5 Water -0.15
Research Questions (Revisited) ,[object Object],[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],Discussions and Conclusions
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Study Limitations ,[object Object],[object Object],[object Object],[object Object]
Recommendations ,[object Object],[object Object],[object Object]
References ,[object Object]

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Kush Defense

  • 1. A Remote Sensing Study of the Urban Heat Island (UHI) Effect in the St. Louis Metropolitan Area, MO Kusumakar Bhusal
  • 2.
  • 3. Introduction Urban Heat Island (UHI) : Noticeable difference in temperature profile between the City and its outskirts Elevated air and surface temperatures in urban areas relative to surrounding suburban and rural areas (Solecki et al. 2005) Figure 1. Classic UHI Pattern in a City Area (Source – EPA 2006 )
  • 4. Figure 2. The Urban Energy Budget Source: EPA 2006 SUN
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19. Figure 6. Working Model for Calculating Kinetic Temperature
  • 20.
  • 21. Figure 7. Transect Overlay on Surface Temperature Map
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27. Table. Land-use Combinations used Commercial / Residential Commercial / Agricultural Commercial / Forest Commercial / water Residential / Agricultural Residential / Forest Residential / Water Agricultural / Forest Agricultural / Water Forest / Water
  • 28.
  • 29.
  • 30. Figure 8. Land Surface Temperature (Grey Scale ) Results
  • 31. Figure 9. UHI Profile along WE and NS Transects
  • 32. Figure 10. UHI Profile along NW-SE and NE-SW Transects
  • 33. Figure 11. Spatial Distribution of UHI in St. Louis Area
  • 34. Figure 12. Land-use Types in St. Louis Metropolitan Area
  • 35. Figure 13. Land-use Map - 3D View
  • 36. Figure 14. Grey Scale Normalized Difference Vegetation Index (NDVI) Map
  • 37. Figure 15. Classified Normalized Difference Vegetation Index (NDVI) Map
  • 38. Figure 16. Comparison between Surface Temperature, Land-use and NDVI
  • 39. Figure 17. Average Temperature Figure 18. Average NDVI Table 1. Summary Statistics of Average Temperature and NDVI for each Land-use Type Landuse Surface Temperature (Degree Celsius) NDVI Code Type Max. Min. Mean Std. Dev Max. Min. Mean Std. Dev. 1 Commercial 43 25 27.48 1.74 -0.39 0.13 -0.16 0.10 2 Residential 33 22 24.52 1.67 -0.64 0.58 0.08 0.16 3 Agricultural 27 21 22.43 0.78 0.63 -0.40 0.36 0.15 4 Forest 23 20 21.79 0.50 0.54 0.36 0.43 0.11 5 Water 23 21 22.50 0.56 -0.65 -0.26 -0.42 0.05
  • 40.
  • 41.
  • 42. Table 3. Correlation Between NDVI and Surface Temperature Correlation Analysis Negative Correlation existed between NDVI and land surface Temperature for all land-use types Land-use Land-use Correlation code Type Coefficient (r) 1 Commercial -0.56 2 Residential -0.30 3 Agricultural -0.25 4 Forest -0.50 5 Water -0.15
  • 43.
  • 44.
  • 45.
  • 46.
  • 47.
  • 48.
  • 49.
  • 50.

Notas do Editor

  1. Solar radiation incident on the urban surface is absorbed (by construction materials such as concrete, asphalt and cement) and then transformed to sensible heat. When the incoming short wave radiation strikes the surface, some portion of it is absorbed and emitted from the surface and the lower layers of air and clouds. The absorbed and later emitted radiation is called the long-wave radiation
  2. Retrieval of surface brightness temperature: Digital Numbers (DN) of band 6 converted to radiance and then the effective at satellite temperature
  3. Landsat has only a single window for thermal data it is difficult to obtain emissivity directly for TM / ETM data without using other spectral bands and/or ancillary data and assumptions (Li et. al 2004).
  4. spatial distribution of the UHI encompassed both the City area and its surrounding suburbs. similar to the big City areas, smaller urban or suburban settings can also produce noticeable thermal effects when compared with surrounding rural environment.