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23 January 2002 Multiscale image analysis for ecological monitoring of heterogeneous, small structured landscapes
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The main concept behind this paper is that pattern and processes are linked in a mutual way. In the last decades landscape ecology was dominated by quantitative descriptions (landscape metrics) of the landscape under concern and its components. Now there is a growing interest in the cause-effect-relationships between these environmental characteristics. High-resolution aerial photography hold an important amount of valuable information, but until recently only a little proportion of the entire information was usually used in scientific analyses due to conceptual and technical limitations. In this paper we present results derived with a multi-scale image segmentation approach and it is demonstrated how this approach allows for an identification of pattern at several scales simultaneously. First results testify that this is a suitable method for the delineation of meaningful landscape elements and subsequently for landscape monitoring, particularly if dealing with complex or small-scaled pattern. It is shown that hierarchically linked objects are more suitable for monitoring than pixels although the necessity for a comprehensive methodology for object-based change detection arises.
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Thomas Blaschke, Manuel Conradi, and Stefan S.L. Lang "Multiscale image analysis for ecological monitoring of heterogeneous, small structured landscapes", Proc. SPIE 4545, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology, (23 January 2002);

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