Full text: Technical Commission VIII (B8)

   
   
  
  
   
   
  
  
   
   
    
   
   
    
  
    
      
  
  
  
  
  
   
    
    
   
  
   
  
   
  
     
    
    
    
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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
Conclusion 
Climate change has a significant impact on glaciers, 
which are very sensitive to changes in atmospheric 
conditions. Long term temperature observations over 
the glaciated terrains of the Himalaya can therefore 
provide a detailed understanding of climate change in 
the region. The main aim of this investigation was to 
examine a methodology for the estimation of Land 
surface temperatures from satellite data. The resulting 
estimated land surface temperatures were compared 
to NCEP modeled Surface temperature and the 
results showed a good correlation. The derived Land 
surface temperatures were compared with daily 
average mean surface temperatures modeled by the 
NCEP. The NCEP modeled temperature was found to 
be cooler than the extracted surface temperature, 
which is a realistic expectation. The results show that 
the satellite derived temperatures values are in the 
acceptable range. The present results show that 
satellite data can provide regionally representative 
values for surface temperatures, which is not possible 
from ground observations given the scarcity of data. 
The derived surface temperature values are found to 
be in good agreement with the field measured values, 
indicating that the methodology can be adopted for 
the Investigation over Himalayan region. 
References 
Anul Haq and Kamal Jain.2011. Change Detection of 
Himalayan Glacier Surface Using Satellite Imagery. 
In Regional Conference on Geomatics for G 
governance from 13 — 14 September, 2011. 
Johnson, B. R. and S. J. Young, "In-Scene 
Atmospheric Compensation: Application to SEBASS 
Data Collected at the ARM Site," Technical Report, 
Space and Environment Technology Center, The 
Aerospace Corporation, May 1998. 
Chander, G., B. Markham, and D. Helder, 2009. 
Summary of current radiometric calibration 
coefficients for Landsat MSS, TM, ETM+, and EO-1 
ALI sensors. Remote Sensing of the Environment, 
Vol. 113, pp. 893-903. 
Landsat 7 Science Data Users Handbook, updated 
October 2007. NASA Goddard Space Flight Center. 
http:/landsathandbook.gsfc.nasa.gov/handbook/ 
handbook htmls/chapter9/chapter9.html. 
Accessed February 2009. 
Hook, S. J., A. R. Gabell, A. A. Green, and P. S. 
Kealy, 1992. A comparison of techniques for 
extracting emissivity information from thermal 
infrared data for geologic studies. Remote Sensing of 
Environment, Vol. 42, pp. 123-135. 
Kealy, P. S. and S. J. Hook, 1993. Separating 
temperature and emissivity in thermal infrared 
multispectral scanner data: Implications for 
recovering land surface temperatures. IEEE 
Transactions on Geoscience and Remote Sensing, 
Vol. 31, No. 6, pp.1155-1164.
	        
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