International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004
2.2 Image classification and V-I-S Model
SPOT HRV XI images for 25 July 1999 and 4 October 1999
(spatial resolution of around 20 metres), were geometrically
corrected using 26 ground control points derived from a
1:25,000 map of the area. Images were transformed to
Universal Transverse Mercator (UTM) coordinates using a first
order polynomial transformation and nearest neighbour
resampling. The pre-earthquake and post-earthquake images
were classified using the Iterative Self-Organizing DATA
(ISODATA) classifier (without atmospheric correction).
Twenty-five ISODATA spectral classes were combined to form
4 classes: (i) vegetation, (ii) impervious I (urban), (iii)
impervious II (urban and collapsed buildings) and (iv) soil
(neither vegetation or urban).
The Vegetation-Impervious-Soil (V-I-S) of Ridd (1995) (figure
3) describes the biophysical composition of an urban area as a
function of three components: vegetation, impervious (surfaces
such as buildings and roads) and soil (defined as surfaces that
are neither vegetation or urban) (Madhavan et al., 2001; Phinn
et al., 2002). As such it provides a means of assessing the trend
and relative magnitude of land cover change in an urban area.
Impervious
CBD- Central
Business District
High-density
residential
Light
Industry
Medium density
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Heavy
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Low-density
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100
Figure 3. The Vegetation-Impervious-Soil model (Ridd, 1995).
3. RESULTS AND CONCLUSION
The inner city of Adapazari comprised 25.1 % vegetated, 33.7
% impervious and 41.2 % soil before the earthquake but 23.5 %
vegetated, 32.7 % impervious (7.1 % were collapsed buildings)
and 43.8 % soil after the earthquake (figures 4, 5). The area of
collapsed buildings contained less shadow and more bright
(concrete) surfaces than the other impervious areas and was
distinguished readily by the classifier.
636
| um a
e Vegetation © Impervious |
O Impervious II (Collapsed buildings) © Soil |
Figure 4. Four class images of Adapazari a) pre-earthquake and
b) post-earthquake.
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