2024/01/18 by Kressler, Florian
paper · doi:10.57938/5787a88d-64da-42a6-9790-83a3a076c9fc
Obtaining up-to-date information concernmg the environment at reasonable costs is a <br/>challenge faced by many institutions today. Satellite images meet both demands and thus <br/>present a very attractive source of information. <br/>The following thesis deals with the comparison of satellite images and a vector based land use <br/>data base of the City of Vienna. The satellite data is transformed using the spectral mixture <br/>analysis, which allows an investigation at a sub-pixel level. The results of the transformation <br/>are used to determine how suitable this spectral mixture analysis is to distinguish different <br/>land use classes in an urban area. In a next step the results of the spectral mixture analysis of <br/>two different images (recorded in 1986 and 1991) are used to undertake a change detection. <br/>The aim is to show those areas, where building activities have taken place. This information <br/>may aid the update of data bases, by limiting a detailed examination of an area to those areas, <br/>which show up as changes in the change detection. <br/>The proposed method is a fast and inexpensive way of analysing large areas and highlighting <br/>those areas where changes have taken place. lt is not limited to urban areas but may easily be <br/>adapted for different environments. (author's abstract)