The Integration of Remote Sensing and Ancillary Data

Kressler, Florian (1996) The Integration of Remote Sensing and Ancillary Data. Research Reports of the Institute for Economic Geography and GIScience, 08/96. WU Vienna University of Economics and Business, Vienna.


Download (20MB)


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)

Item Type: Paper
Keywords: Remote Sensing / Spectral Mixture Analysis / Urban / Change Detection / Landsat
Divisions: Departments > Sozioökonomie > Wirtschaftsgeographie und Geoinformatik > Fischer
Depositing User: ePub Administrator
Date Deposited: 15 Jul 2014 12:05
Last Modified: 04 May 2018 05:50


View Item View Item


Downloads per month over past year

View more statistics