International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia
prises unt
Unchanged
c: Hash Baishfness
High Greenness
High Wetstess
Media Briditness
Medii: Or eeunesá
S Medium Wetaess
Figure 6. ISODATA classification image
In Figure 6 each class indicates intensity of vector change in
any direction within the Tasseled Cap Transformation.
Class Value Area (ha) %
0 No change 24716.44 86.51
1 High wetness 350.12 1.22
2 High greenness 650.88 2.28
3 High brightness 1282.20 4.49
4 Medium wetness 131.20 0.46
5 Medium greenness 1296.60 4.54
6 Medium brightness 142.56 0.50
Table 3. Landscape dynamic classes and their corresponding
area in the Terkos
After image classification, accuracy of the resultant image was
assessed. Accuracy assessment is very important for
understanding the detected change results and employing these
results for land management, urban land planning and decision-
making (Foody, 2002). In this study, overall accuracy and
Kappa analysis were used to perform classification accuracy
assessment based on error matrix. Overall accuracy and Kappa
statistics were calculated as 84.32 % and 0.81, respectively.
5. CONCLUSIONS
In this study, mCVA used to detect the most dynamic areas in
Terkos Water Basin, Istanbul. Three TC features (brightness,
greenness and wetness) were derived for SPOT 5 MS data to
produce three difference, one magnitude and three direction
images using 2003 dated SPOT 4 and 2007 dated SPOT 5 MS
data. Classified vector magnitude and direction components
were used for the selection of dynamic landscapes. The
advantage of the mCVA is it has the ability to process any
number of spectral bands but it is difficult to decide changed
classes and threshold value. The sensitivity of the CVA was
enhanced by using polar coordinates to represent vector
directions. CVA and extended polar coordinates improved the
ability to determine landscape dynamics in this heterogeneous
environment.
ACKNOWLEDGMENT
The authors would like to thank the SPOT OASIS project for
providing the 2007 dated SPOT 5 MS and PAN images.
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