Detection of land-cover and land-use change in the Hohe Tauern National Park (Austria) using an object-based classification approach: first results

Katharina Kern; Wolfgang Sulzer; Gerhard K. Lieb

doi:10.1117/12.829977

7 October 2009 Detection of land-cover and land-use change in the Hohe Tauern National Park (Austria) using an object-based classification approach: first results

Katharina Kern, Wolfgang Sulzer, Gerhard K. Lieb

Author Affiliations +

Proceedings Volume 7478, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX; 747825 (2009) https://doi.org/10.1117/12.829977
Event: SPIE Remote Sensing, 2009, Berlin, Germany

Abstract

Land-cover and land-use (LCLU) change reflects environmental as well as social changes. High-mountain environments such as the Hohe Tauern Range (Austria) and its National Park are very sensitive to these changes. Remotely sensed data are ideally suited to detect and analyze land-cover and land-use changes on different spatial and temporal scales. In this study a Landsat Thematic Mapper (TM) time-series from 1988 to 2003, aerial photographs and auxiliary GIS data were used detect land-cover and land-use changes in the National Park and its surroundings. The objective of the study was to develop and test a transferable method for change detection in comparable high-mountain environments. After applying a series of pre-processing steps, object-based image analysis, on the basis of Definiens Developer, was used to extracted land-cover and land-use information from the Landsat images. To generate meaningful image objects, a multiresolutions segmentation algorithm was combined with image object merging. The resultant image objects were then classified by using a hierarchically organized classification method. In a further step the resultant outputs of the land-cover and landuse classifications build the basis for the post-classification change detection. Moreover the advantages and disadvantages of the developed method, the first results as well as future adaptations of the method and applications are discussed in this paper.

Citation Download Citation

Katharina Kern, Wolfgang Sulzer, and Gerhard K. Lieb "Detection of land-cover and land-use change in the Hohe Tauern National Park (Austria) using an object-based classification approach: first results", Proc. SPIE 7478, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX, 747825 (7 October 2009); https://doi.org/10.1117/12.829977

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KEYWORDS

Earth observing sensors

Landsat

Clouds

Image classification

Image segmentation

Image processing

Satellites

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