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, Thomas Blaschke, Manuel Conradi, Manuel Conradi, Stefan S.L. Lang, 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); doi: 10.1117/12.453676; https://doi.org/10.1117/12.453676

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