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In 2002 S. Phinn, M. Stanford, P. Scarth, A. Murray and P. Shyy attempted to<br />

apply a similar technique to that used by Megan Lewis in her 1998 study of<br />

vegetation communities, only with reference to vegetation impervious hard<br />

ground in urban areas. This study has similar goals to this thesis, but was<br />

undertaken in an Australian urban context, and does not make use of existing<br />

vector mapping and polygons. In the study by Phinn et al the authors conducted a<br />

survey of the area surrounding the city of Brisbane, in an attempt to establish an<br />

image processing method which would yield information about the urban<br />

environment. In particular they focused on vegetation –impervious surface-soil, or<br />

hard ground. They identified 60 spectral zones which they aggregated based on<br />

their location, they were able to identify distinctive zones of hard ground based on<br />

their per-pixel classification. The data used was from the Landsat5 Thematic<br />

mapper and 1:5000 scale aerial photography. Their aims were to deliminate land<br />

cover and use types, identify areas of impervious and pervious surfaces. One of<br />

the most difficult aspects they encountered was classifying non-vegetation areas<br />

into exposed soil and developed surfaces. They extracted the information along<br />

transects radiating from Brisbane’s city centre. The study noted that water bodies<br />

and vegetation were “separate in all spectral bands” (Phinn et al, 2002). The<br />

maximum separation along the cleared hard ground was along bands 3, 4 and 7.<br />

the authors concluded that the increased resolution enabled more detailed<br />

assessment of the surface.<br />

One recurring theme within these studies of spectral analysis of aerial<br />

photography (and satellite imagery) was that the success of the study is dependant<br />

on three main factors; the resolution of the photography, the correct segmentation<br />

of the target areas and an accurate knowledge of the colour bands which apply to<br />

the study. To a lesser extent it is also important to introduce methods to correct for<br />

haze, cloud cover and shade. These last three considerations are not the focus of<br />

this study; the fact that they warrant the complete focus of previously published<br />

papers indicates that it would not be possible to completely eliminate their<br />

presence. By applying some of the aspects of masking (Cordero-Sancho & Adler)<br />

and adjusting for shade (Tuominen & Pekkarinen) it might be possible to reduce<br />

the influence of these in the outcome to within an acceptable error margin for high<br />

158

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