RS 
® 0 O0 
  
em color 
DATE: - - 21MAYT9 
AND ......... 7 
$ Magnif.=2 4 
START= (128, 100) 
END =(383, 299) 
  
  
  
Fig. 5 Water Boundary Extraction 
2) False Color 
Trainees are required to select band combination and gradation to 
show the various pattern of the remotely sensed data imagery. 
Trainees has to compare his product with the fine imagery 
prepared by ENDIPS-T. 
3) Multi-spectral Classification 
Based on the multi-spectral characteristics of the remotely 
sensed data, trainees perform the land cover classification using 
the remotely sensed data. 
a) Training area selection 
By using the false color produced by the trainee, he has to 
select training area of specified items for classification 
(see Fig.6). The items include urban area, residential area, 
woods, glass, bare soil and water. 
Urban area 
  
IMAGE LORD 
NE ES 
ata 
BI THER i 
PARTIE VAE 
Water 
49