Ms. Katharina Kern Profile

Katharina Kern

at Karl-Franzens-Univ Graz

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Proceedings Article | 7 October 2009 Paper

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 Lieb

Proceedings Volume 7478, 747825 (2009) https://doi.org/10.1117/12.829977

KEYWORDS: Landsat, Clouds, Image segmentation, Image classification, Image processing, Satellites, Photography, Image analysis, Vegetation, Earth observing sensors

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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.

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