International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
adequately in the IKONOS analysis. The overcrowdedness 
urban area was able to be understood more in detail by 
measuring pixel distribution situations of each town even 
number eyes in IKONOS compared with the TM analysis. 
In addition, it was able to be confirmed to understand the 
overcrowdedness degree adequately even if it saw from the 
comparison with the aerophotograph. Thus, the possibility 
of the understanding of a city environmental properties 
was able to be found by judging information which had 
been obtained by the analysis which used the TM image 
and the IKONOS image overall. However, all of the city 
environmental index used to analyze GIS do not agree, and 
there is a necessity for advancing the examination for other 
remote sensing (TM and IKONOS both) analysis 
technologies in the viewpoint of the understanding of a city 
environmental properties. ^ Moreover, the use of this 
panchromatic film data etc. are tried to solve the problem 
that the shadow of the structure causes, and the thing to 
improve accuracy or more is an examination problem as for 
. the IKONOS image. Moreover, it is necessary to reexamine 
the index which shows the city properties in consideration 
of the correlation between GIS items for the improvement 
of the accuracy of the remote sensing analysis in the future. 
For instance, the following expressions are examined as an 
index which shows the overcrowdedness degree in the 
building in each district (Figure 11). 
|Overcrowdedness level 
  
-Aa- building overcrowdedness level)? + (open space rate)? 
Therefore, it is likely to lead to the perception of the 
detection of such an overcrowdeness level of the risk of the 
city. 
Figure 11. Rank chart by overcrowdedness level 
which uses IKONOS land coating classification 
    
E Largeness 
\ d E 
> —-^ $maliness 
REFERENCES 
1) Ritsu KATAYAMA et al., A Feasibility Study about 
Extraction Method of Densely Crowded Areas with 
Wooden Buildings on the KOBE Government. Part 2., 
: Consideration of Evaluation of Urban Fire Hazard., 
ISPRS, Vol0 0 OG,PartB7, P6 62-669, Amsterdam, 
2000 
S ““Overcrowdedness level 
2) Ritsu KATAYAMA et al., A Feasibility Study on 
Evaluation of DistrictEnvironmental Method Using 
Remote Sensing of TM and IKONOS Data for 
HealthyCity. : A Case Study in Urban Areas of Tokyo 
Bay 2000., Remote Sensing of Urban Areas, Regensburg, 
2001 
3) Ritsu KATAYAMA et al., A Feasibility Study on 
Evaluation of District Environmental Method Using 
Remote Sensing of TM & IKONOS Data for Healthy 
City., Part3., : A Case Study in Urban Areas of Tokyo 
Bay 2001., IGARRS.TRONTO, 2001 
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