Full text: Proceedings, XXth congress (Part 7)

Vs 
a 
0 
95 
eicit 
URN is 
  
  
  
International Archives of the Photogrammetry, 
       
+ Tama » Miyamae 
* [sega Matsudo 
* 001 T'akatsu 
$anagawietagaya 
huva Mit misNerima , Hatogaya 
7049 -0.17 70.15 , -0.13 200 170.09 -0.07 
Chiyoda Mino iei ik 
| * Kouto. * Toshima -0. 
| Taito Kawasaki 
« Taito . mas Arakawa 
Sumida 4 
      
          
70.23 0.21, 
* Chuo 
rt re rt NTT 
Figure 4. Scatter chart of NDVI ju (TM 2000) 
4.3. Correspondence of Landsat TM analysis and GIS 
To examine the analysis which used the TM image and the 
correspondence with GIS, the correlation analysis of an 
analytical result of two techniques of the land coating 
classification and the image operation processing and the 
GIS item was done (Table 3). In Figure 5, it Was 
understood that there Was a high correlation from the 
relation between the GIS green tract of land area ratio of 
the spindle and the green region rate by supervised 
classification of a horizontal axis. (R=0.92) The utility of 
the understanding of the item ‘of GIS was able to be 
confirmed from this by the remote sensing analysis, 
Table 3. Correlation matrix of GIS item and 
Landsat analysis result 
Bekmor 
Het 
  
  
S R=-0.92 
  
     
   
    
  
Remote Sensing and Spatial Information Sciences, Vol XXXV ; 
Part B7. Istanbul 2004 
P | 
+ * Chiba 
nm i30. 
2 
= | * Aso 
E 25 
$ i -* Asahi * Kashiwa 
= | . * Koshigaya 
| Miyamae ber 
— 20. . MN )miya 
8 ] MatsudiUrawa 
dd 
7 is ^ Kewaguchi ti 
inagawa « Chiyoda 
S ga HS 
3 * Konan 
ys « Souka *Narashino 
S 10 Nerima, 
. inami 
s * Edogawa aka 
HB =) *Yonoz Shinjpfu 
$ RF oh Sumida J* Sitinaga ai ve ; 
o Nak O Surum * Minato 
e Nakano Meguct, ta ; rayasu 
0 * Toshima awasaki 
10 20 30 40 50 60 70 
Green tract of land rate (4) 
Figure 5. Correlation of land coating classification 
result (Landsat) and GIS item 
The thing which was able to be understood from Table 3 by 
high accuracy was able to be understood concerning the 
green region rate and the urban rate which was able to be 
read by the Landsat TM image in this manner. Moreover, 
the population and the home index to which urbanization 
was located by specifying an urban pixel in the remote 
sensing analysis from this correlation matrix were able to 
be understood. And, the green tract of land index of GIS 
was able to be understood by specifying the green region 
pixel. Therefore, the degree of an urban overcrowdedness 
degree and the Open space in the city is understood from 
the measurement of 2 indices(the green region rate and the 
urban rate ) in each municipal district and it can be said it is 
possible by the Landsat TM image's being used. 
5. Analysis by using IKONOS image 
The city in each municipal district was able to understand 
the environment in the analysis of the Landsat TM image 
as already described. Then, the City on each town even 
number eyes understood the environment more in detail by 
using the IKONOS image of a high resolution compared 
with Landsat TM. Two municipal districts (the Chiba 
Prefecture Urayasu City and the Kanagawa Prefecture 
Kawasaki city Nakahara Ward ) were selected from among 
57 municipal districts previously selected. These two 
municipal districts are located along the river compared 
with other regions, there are a lot of overcrowdedness 
urban areas, and are the populous districts, 
3.1. Understanding of city environment from each town 
even number eyes by GIS . 
To understand more detailed city environmental properties 
on the GIS analysis, 8 items (the population , the number of 
homes, the number of senior citizens, the death numberl, 
the cancer death numberl, the fire number, the emergency 
mobilization number, and the traffic accident number 
Which was able to be acquired with each town even number 
eyes) were collected. The collected statistical data were 
previous similar analysis united as a value per the unit area. 
The extraction of the overcrowdedness urban area on GIS 
was tried by using these 8 items. AS à result, in the Urayasu 
City, the district in the expressway north of Toudaijima, 
1117 
Nekozane, Horie, Kitasakae, and Fujimi understood the 
thing which was the overcrowdedness urban area from 
situations such as the population, the numbers of homes, 
and fire number. Moreover, to find the relations between 
 
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.