Full text: Technical Commission IV (B4)

  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B4, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
the land-use of Istanbul in 1945, 1968, 1988 and 2000 as the 
reference year. To reach this goal, the satellite imagery of the 
reference year 2000, satellite photographs of 1988 and aerial 
photos of the years 1968 and 1945 had to be pre-processed to 
get them properly georeferenced. The second step has been the 
digitisation and interpretation in GIS environment. In the final 
step the interpretation took place. Istanbul is growing enormous 
and the change is really dramatic. In relation to other European 
cities, Istanbul as a gate to the east and the Islamic world has a 
bridge function and a very specific development. The 
development went not homogenous. Especially between 68 and 
88, grow has been the biggest. However the population growth 
has been high on a homogenous level, which means that the 
population density grew. The increase of urban fabric however 
needs to be compensated by other area, in the case of Istanbul 
similar to other big cities, by the loss of agricultural land. This 
will be pointed out in this paper. The total project area was 
3100 km?. 
3. DIGITALISATION AND 
INTERPRETATION 
All digitisation and interpretation work was done manually on- 
screen. Automatic processes for feature extraction in urban 
areas fail if such a detailed legendary is recommended. 
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Line-Layer: First the linear elements (lines and polylines), 
such as transportation (road and rail) and river/sea-canal 
network, have been mapped according the MOLAND legendary 
on screen by using TOPOL GlSystem. topological data- 
structure has been used. Limit was given by the visibility in the 
satellite-imageries. More wide linear features have been 
digitised by a middle line and as far as they have a bigger width 
than 25 m, they have been mapped in the area-layer as well. The 
attribute database was opened after the line was drawn. Then 
the topological structure by creation of nod-points has been 
established. These lines are often boundaries for area-objects. 
So far they have been copied to the file with the area-database 
of the processed year. 
Area-Layer: The lines and polylines of the line-layer have 
been used as basement for the arca-layer (polygon with label- 
point). All other areas with a homogeneous use according to the 
legendary have been defined by the boundary-line and the 
labelling-point with the attached database in its middle. Also 
here topological mapping was required to reduce the work and 
the risk, which can appear, by redundant lines. Also the snap- 
mode has been set to lines and vertex points in a suitable radius 
to fill entire project area without macro rest polygons. The 
database was filled during defining the label-point inside the 
boundary. An additional area-layer, a so-called 3d-layer, was 
added to take area objects into account, which cover other area 
objects. These are namely big bridges and highway tunnels. 
These elements are on one side connected correctly by the 
middle-line in the line layer and further on by a direct 
neighbourhood to a related object in the area layer. The snap 
mode has been enabled to snap to other, non-active layers as 
well to keep a semi-topological structure. 
Temporal analyses have been undertaken by down-dating the 
land-use-classes of the 3 layers by going back-wards to 1988, 
1965 and 1945. Finally 4 line layers, 4 area layers and 4 3d 
area-layers have been developed. Using database-analyses and 
GIS-intersections the changes can be detected and quantified. 
Fist the entire line layer had to be down-dated by the older 
images. Additional line-objects have been added and others 
been erased. The database had to be checked if the object 
attributes still fit to the legendary. Then the down-dated lines 
and the lines of the newer area layer have been imported into a 
new empty layer. 
   
    
Figure 1: Example of the digitised transportation network on 
the left (Highways in red, other road in pink) and the lad-use 
data set on the right with the legendary of the classes (red = 
residential, pink = business) 
To import the database just for information, only the label 
points with attached area database have bcen copied. Then also 
here the lines have been corrected as boundary lines. As far as 
the area and the use was the same, the area had been created 
automatically and the attributes taken from the point database. 
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