The Integration of Remote Sensing and Ancillary Data

Florian Kressler

    Publication: Working/Discussion PaperWU Working Paper

    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)
    Original languageEnglish
    Place of PublicationVienna
    PublisherWU Vienna University of Economics and Business
    Publication statusPublished - 1 Mar 1996

    Publication series

    NameResearch Reports of the Institute for Economic Geography and GIScience
    No.08/96

    WU Working Paper Series

    • Research Reports of the Institute for Economic Geography and GIScience

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