km 
Figure 4, 
bicycles, 
The data 
that the 
to road 
And à 
can be 
orcycles. 
7, Figure 
nts with 
y, in the 
ne in the 
:entration 
along the 
are in the 
  
     
   
  
Nike ‘to:3 Et02° 7. | ^ co! A E104* 
percent of households 
    
  
N1 E102 7 | E104° | 
0.50 100 150 200 250km 
  
  
Figure 3 Households Engaged in Work outside the Tambon 
  
  
  
  
N18° ge 
   
  
  
  
  
  
  
  
  
  
  
  
Ni E102» ^ E104° | 
  
bicycles per household 4 
Figure 4 Bicycles 
Northeast for people to move a settlement in order to 
avoid the spread of malaria, but this is now a thing of the 
past. On further reflection, it may be sign that the thick 
forests associated with the spread of malaria are 
disappearing. 
5. CONCLUSION 
The main data source of the NETVIS is not remote 
sensing technology but contact information recorded by a 
Survey team. Much labor is required to collect this, and 
it is also essentially difficult to maintain the homogeneity 
ofthe information. Moreover, much time will be required 
to compile this material into a database and that is ready 
for distribution. However, it includes information that is 
hardly obtainable from other data sources, and its value 
can be enhanced by visualization. 
On the other hand, it is easy to maintain the homogeneity 
519 
ii time 
  
Q0 50 100 150 200 250km 
of the data obtained by remote sensing, and the data can 
be acquired promptly. Much research has been 
conducted into the technology and the methodology to 
process these data, but survey of the ground truth is 
indispensable to verify the interpretation. The village- 
level survey cannot represent the  ground-truth 
information on vegetation which is necessary for verifying 
remote sensing data. However, it does show the human 
life of the community and it does represent the ground 
truth in a wide meaning. 
There are three themes for future study. First is what 
merits will be produced for planning and evaluation of 
rural development projects, which are the main purposes 
of developing the socio-economic database by applying 
GIS method. | have been concerned in the JICA-REX 
project to actualize this. Second, what relationships 
obtain between the socio-economic database like the 
village database and the data obtained by remote 
sensing should be clarified. It may well be that the study 
will suggest a new direction for utilizing the data of 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B7. Vienna 1996