Full text: Proceedings, XXth congress (Part 7)

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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
studies and reducing data redundancy method between spectral 
bands. In this analysis, PCA transformation was applied to 
SPOT XS image of the Sivas Basin. 
As is seen clearly in Figure 6, this spectral enhancement mode 
provides satisfactory results to differentiate geologic units of the 
region. Spectral differences in RGB display indicate also 
observing of regional structural features. These clongations 
approximately in NE-SW trending also determine the southern 
boundary of the Sivas Basin (Figure 6). 
  
Figure 6: PCA (123) components on a full-scene SPOT XS 
image. 
3.3. Classification 
An unsupervised classification has been applied to differentiate 
geological units to Landsat TM image of the study area. To 
determine numbers of the spectral classes, 1/500.000 scaled 
geological map of the region has been considered. Figure 5 
shows this relationship. But this method has not satisfactory 
results as PCA method because of proximities in spectral 
differences of the geologic units of the region. 
But, presence of a distinctive basin (Kangal) which were made 
up of mainly by younger Neogene deposits and plateau basalts 
in yellow and pink tones is observed clearly in the lower parts 
of the images. 
  
Figure 7: Unsupervised classification result of SPOT XS image. 
4. DEM ANALYSIS 
In this study, DEM analysis was chosen as a robust assessment 
tool inferring structural features. High-resolution digital 
elevation data sets derived from radar systems has been most 
reliable public sources to evaluate any region structurally. 
Topographic analysis efforts in geosciences have been 
supported using digital elevation models (Pollard, 2002). As is 
well known, visualisation techniques support and facilitate 
interpretations as well as evaluation of data quality, and thus 
enhancement of the model itself. 
In this study, we will use two different SRTM-3 (N39E036 and 
N39E037) data of Sivas Basin. Observed orientations of the 
structural features of the Sivas Basin can be seen in Figure 8. 
The Kizilirmak River floor, which transects the basin obliquely 
in NE-SW direction, is parallel to the general trends of the 
basin. Although no considerable seismic data could be found in 
historic earthquake database, some authors claim that this river 
floor can be represented as an active fault (Inan, 1993; Kocyigit 
and Beyhan, 1998). 
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Figure 8: SRTM-3 data is helpful to asses 
  
 
	        
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