Abstract
Obtaining up-to-date information concernmg the environment at reasonable costs is a
challenge faced by many institutions today. Satellite images meet both demands and thus
present a very attractive source of information.
The following thesis deals with the comparison of satellite images and a vector based land use
data base of the City of Vienna. The satellite data is transformed using the spectral mixture
analysis, which allows an investigation at a sub-pixel level. The results of the transformation
are used to determine how suitable this spectral mixture analysis is to distinguish different
land use classes in an urban area. In a next step the results of the spectral mixture analysis of
two different images (recorded in 1986 and 1991) are used to undertake a change detection.
The aim is to show those areas, where building activities have taken place. This information
may aid the update of data bases, by limiting a detailed examination of an area to those areas,
which show up as changes in the change detection.
The proposed method is a fast and inexpensive way of analysing large areas and highlighting
those areas where changes have taken place. lt is not limited to urban areas but may easily be
adapted for different environments. (author's abstract)
challenge faced by many institutions today. Satellite images meet both demands and thus
present a very attractive source of information.
The following thesis deals with the comparison of satellite images and a vector based land use
data base of the City of Vienna. The satellite data is transformed using the spectral mixture
analysis, which allows an investigation at a sub-pixel level. The results of the transformation
are used to determine how suitable this spectral mixture analysis is to distinguish different
land use classes in an urban area. In a next step the results of the spectral mixture analysis of
two different images (recorded in 1986 and 1991) are used to undertake a change detection.
The aim is to show those areas, where building activities have taken place. This information
may aid the update of data bases, by limiting a detailed examination of an area to those areas,
which show up as changes in the change detection.
The proposed method is a fast and inexpensive way of analysing large areas and highlighting
those areas where changes have taken place. lt is not limited to urban areas but may easily be
adapted for different environments. (author's abstract)
| Original language | English |
|---|---|
| Place of Publication | Vienna |
| Publisher | WU Vienna University of Economics and Business |
| DOIs | |
| Publication status | Published - 1 Mar 1996 |
Publication series
| Series | Research Reports of the Institute for Economic Geography and GIScience |
|---|---|
| Number | 08/96 |
WU Working Paper Series
- Research Reports of the Institute for Economic Geography and GIScience