30-22 
iii 22.00000001 - 26 
R3 26.00000001 - 30 
30.00000001 - 34 
EE 34.00000001 - 35 
  
UT 
E: 39,00000001 - 40 
Ez 40.00000001 - 41 
  
41 00000001 - 42 
  
  
10. May 2001 11. Oct. 2001 4200000001 - 43 
R8 43.00000001 - 44 
  
  
  
3 44.00000001 - 50 
Figure 11. The multi-temporal Landsat and LST images for the 
Al-Jleeb Landfill 
  
Figure 12. Suspicious Dumping Areas in the Al-Jleeb Landfill 
5. CONCLUSIONS 
In this study, 16 Landsat images (9 images acquired in 2007 and 
7 images acquired in 2008) were used to study the land surface 
temperatures of the Trail Road landfill site and correlate the 
data that was extracted to ground-based measurements. The 
analysis shows higher LST in the landfill site areas comparing 
to the air temperature and the LST of the surroundings. The 
relationship between the emitted landfill gas (Methane CHy) 
and the LST calculated from Landsat images is investigated. It 
is found that LST of the landfill site has mid correlation to the 
amount of gases emitted from the site. 
On another study area, 11 Landsat TM and ETM" images were 
used to detect suspicious solid waste dumping locations within 
Al-Jleeb site, Kuwait State. Similar to the study of the Trail 
Road landfill site, the Landsat images were downloaded from 
the USGS EarthExplorer and were atmospherically corrected 
using the ATCOR2 model in PCI Geomatics. The LST for the 
study area was computed from the thermal band (Band 6 for 
Landsat TM and Band 61 for Landsat ETM"). The LST images 
were imported into a GIS environment, and the temperature 
contour lines were derived from each of the images the highest 
temperatures for the contour lines were overlaid for each of the 
images to define the locations of the dumping waste. Five 
suspicious locations of these dumping areas were identified 
through the high dense overlap of the contour lines. Further 
ground verification is needed to confirm the finding using the 
LST. 
6. REFERENCES 
Biotto, G., Silvestri, S., Gobbo, L., Furlan, E., Valenti, S. and 
Rosselli R., 2009. GIS, multi-criteria and multi-factor spatial 
analysis for the probability assessment of the existence of illegal 
landfills. International Journal of Geographical Information 
Science, 23(10), pp. 1233-1244. 
Dillon Consulting Limited, 2008. Trial Road landfill Site 2007 
Monitoring and Operating Report, City of Ottawa, Canada. 
Mirtorabi, R. 2010. Comparison between satellite images and 
site data for monitoring at trail road landfill. Ryerson 
University, M.A.Sc. Thesis, pp. 139 
Nas, B., Cay, T., Iscan, F., and Berktay, A., 2010. Selection of 
MSW landfill site for Konya, Turkey using GIS and multi- 
criteria evaluation. Environmental Monitoring and Assessment, 
160(1-4), 491-500. 
Ottavianelli, G., 2007. Synthetic Aperture Radar remote sensing 
for landfill monitoring. Ph.D. Thesis, Cranfield University, 
United Kingdom, 298 pp. 
Schrapp, K. and Al-Mutairi, N. 2010. Associated health effects 
among residences near Jeleeb Al-Shuyoukh landfill. American 
Journal of Environmental Sciences, 6(2), pp. 184—190. 
Silvestri, S., and Omri, M., 2008. A method for the remote 
sensing identification of uncontrolled landfills: formulation and 
validation. International Journal of Remote Sensing, 29(4), pp. 
975—989. 
Slonecker, T., Fisher, G.B., Aiello, D.P., and Haack. B. 2010. 
Visible and infrared remote imaging of hazardous water: a 
review. Remote Sensing, 2, pp. 2474 — 2508. 
Shaker, A., Faisal, K., El-Ashmawy, N., and Yan, W.Y. 2010. 
Effectiveness of using remote sensing techniques in monitoring 
landfill sites using multi-temporal Landsat satellite data. A/- 
Azhar University Engineering Journal, 5(1), pp. 542-551. 
Yahaya, O., Umoh, V. J. and Ameh, J. B. 2011. Public health 
implications of using water from wells located near municipal 
waste dump sites in parts of Zaria. Medical Practice and 
Review, 2(4), pp.44—40. 
ACKNOWLEDGEMENTS 
Special thanks go to the Environment Public Authority of 
Kuwait Government for the data and the information they have 
provided about the Al-Jleeb landfill. Special thanks also are 
extended to the City of Ottawa, Town of Nepean, and Dillon 
Consulting, Limited, for the data and information that they 
provided on the Trail Road landfill. This research work is 
partially supported by the NSERC Discovery Grant. 
    
    
   
   
  
   
   
    
    
     
   
   
   
  
   
   
     
   
   
   
    
   
     
     
   
  
  
  
  
   
   
  
    
    
      
    
   
  
   
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