Yojiro Utsunomiya 
  
Here, geographical information such as vegetation, water 
use (seaweedsites, boundaries of fishing rights, fishermen's 
cooperatives) and land use, accessibility to the shoreline, 
topography and geology, and digital elevation modek etc. 
are displayed. This is a retrieval function for processing and 
displaying geographical information recorded in the 
database, and this basic function is equivalent to that 
installed in a wide spread application of GIS in the world. 
Here, it becomes important how much information is 
accumulated in the database. 
(2) Oil drift prediction 
Prediction of onshore drifting of oil spilk using satellite 
images is done by a. stand-alone working system on the 
server side. In this system geographical correction is first 
carried out, then oil-spill areas are identified and extracted 
from the satellite/ airborne remote sensing images using the 
Isodata method and parameters such as NDVI. Though the 
algorithm of Isodata method is not. explained, it seems to be 
a kind of cluster analysis. The oil spills and shoreline of land 
are geographically correlated on a same layer using the 
polygon- shapefile converted from oil spills area (raster 
data). The algorithm in this estimation model is developed 
on the basis of vector analysis using only four parameters: 
wind direction and 
speed, and tidal current direction and speed. A few 
parameters such as the rate of expansion of the oil area, and 
modulation between these different parameters of wind and 
tide are also applied. Hgure 4 shows an example of the 
analyzed result. 
  
  
  
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Fig, 4 Prediction results for oil drifting ashore 
(3) Volunteeractivity support system 
In the volunteer activity support system, there are three 
functions: (a) Registration of the name and location of 
headquarters and broadcasting of their opening and 
operation on the Internet GIS. (b) Registration of the name 
and attributes of the volunteers at the headquarters. (c) The 
local system on the server side provides a function for 
analyzing the volunteers’ attributes, and these analyzed 
results are placed on the Web. Detailed information can be 
obtained by additional functions such as links to home 
pages set up by the volunteer headquarters. 
  
  
  
  
  
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Hg. 5 Location of volunteer headquarters and display 
of bar-graph for the volunteer activity support system 
Figure 5 shows an example of the above-mentioned 
function (a) in the volunteer activity support system. The 
number active personnel and the necessary personnel at 
each volunteer headquarters are displayed in these bar 
graphs at the locations of the headquarters mapped on the 
computer display. In addition, information such as position, 
attributes of the headquarters and volunteer’s equipments is 
input and can be displayed in the other windows. Staff at the 
headquarters can easily and freely modify this information 
using their browser in the office or using a portable 
computer in the field. 
4) System for retrieving information about 
equipment and methods for oil deaning 
In this information retrieval system some 
recommendations for the most suitable equipment and 
methods for oil. removal from the sea and coastline and 
environmental recovery are made available upon input of 
geographic conditiors in the field. This retrieval system is 
fundamentally similar to the function of subsystem (1) in 
our GIS. Figure 6 shows examples of the input and output 
of the retrieval system. . Many parameters are fed into the 
small rectangular frames on the display (left). Then the 
recommendatiors are listed on the screen. Figure 6 (right) 
  
338 International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B1. Amsterdam 2000. 
  
  
  
  
  
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