island we have used maximum likelihood classification 
method. We calculated the statistic values of digital count 
number for the thermal image corresponding to each class. 
3.1 Image Classification 
We used maximum likelihood classification method in 
classifying the Landsat satellite image of the subject area 
Urmgqi shown in Figure 1 and divided it into 9classes as of 
urban area, water body, forest, soil, bare groundl, bare 
ground2, vegetationl, vegetation2 and vegetation3 shown in 
Figure 2. Mask images were created from the classified 
image in order to calculate some statistical values. Mean 
value and standard deviation (S.D.) were calculated for the 
masked image. The obtained result is shown in Table 1. 
Median and interquartile range were also calculated. The 
obtained result is shown in Table 2. 
   
   
  
Urban 
Bas 
Water body | ; 
| ima, 
Bare ground 1 | has 
Bare ground 2 than 
Soil 
Forest 
     
   
  
     
Vegetation 1 
Vegetation 2 
Vegetation 3 
  
     
  
Un : men = Figure 2 Classified image for target area. 
Figure 1 Landsat ETM image for Urmgi.