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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004
Figure 3. Digital Elevation Model (DEM) of the Gokceada
The DEM was used to create aspect map and a slope map in
order to use as a layer in GIS. Slope and aspect values of land
are particularly important, for determining how suitable land is
for development and what impact development on land is likely
to have on the environment. A slope of %20 and more and
aspect of north, north east and north west mean that this part of
land is not suitable for building. This information can be linked
to other GIS layers such as slope and aspect to analyse land
cover categories especially urban & built up class.
The slope and aspect data were calculated in degrees and were
attached as the modal slope and aspect to give the dominant
orientation of the surface within the island.
Raster data were translated into vector format before it used as
a layer in a vector GIS. The result of digital satellite image
classification is a pixel by pixel labeling of the entire image.
Raster data was pre processed to reduce the large amount of
data. Before conversion to vector format, the image was
simplified to reduce the pixel by pixel classification to some
smaller number of polygons. Raster to vector translation was
occured for the purpose of presentation and analysis in a GIS
layer.
4. DISCUSSION AND RESULTS
This paper indicates that how remote sensing and GIS
techniques are integrated in order to establish land cover
analyses in the Gokceada Island, Turkey, in the year of 2000.
GIS techniques have been used to analyse and visualize urban
planning of Gókceada from the point of the criterias of slope
and aspect. Map overlaying technique was applied to describe
the quantitative relationships between urban and built up
category of land cover classes and slope and aspect criterias. As
a result, map of the islands showed in figure 3 with the
threshold for discriminating criteria of two of them, for suitable
urban planning were produced and interpreted to identify
problametic areas of the Gôkçeada Island.
Urban & Bui yp
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Figure 3. Analysis result of slope, aspect and urban-built up.
The result of GIS analyses showes that Gôkçeada island is in
good condition from the point of the view of urban planning.
The relationship between slope, aspect criteria and urban built-
up categorie is acceptable. The integration of remote sensing
and GIS provides an efficient way to detect suitability and to
evaluate its impact on environment. The digital image
classification coupled with GIS has demonstrated its ability to
provide comprehensive information on the nature, rate and
location of urban planning.
5. CONCLUSION
Within the framework of this study, for the detection of possible
land cover in Gôkceada using Landsat TM data was realized.
The results showed that integration of remote sensing and GIS
was found to be effective in monitoring and analysing land
cover patterns, and in evaluating urbanization impact for future
land development project of study areas. The use of GIS in
combination with image analysis in the application of the
Gôkçeada will depend on mostly availability and quality of the
imaging data. However, the issue of class uncertainties in image
classification has not been examined in this study. Although the
land-cover maps of the Gokceada Islands have a high overall
accuracy. Accuracy of different classes varies each others. Due
to similar reflectance values of Urban and built up class was
mixed up with the sand and barren land classes.
Increasing human activities causes some changes on the
environment of Gokceada Island. Because of these reason, the
obtained results integrated with the data for effective planning
of urban area suitable for the development of the island.
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