Paper
7 October 2009 Multitemporal land cover pattern change analysis using remote sensing
Katarzyna Ostapowicz, Izabela Sitko
Author Affiliations +
Abstract
In the paper, we described the methodology enabling automatic land cover pattern change analysis, using satellite data. We relied on the post-classification comparison technique with the classification process based on a supervised approach, joining image segmentation, knowledge-based rules to extract a training set, and the maximum likelihood decision rule on two hierarchical levels. The Polish Carpathians has been studied at a medium scale level, over a period of 19 years (1987-2006). The information about land cover was obtained from Landsat TM and ETM+ images. The overall accuracy received in this approach amounted 88%.
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Katarzyna Ostapowicz and Izabela Sitko "Multitemporal land cover pattern change analysis using remote sensing", Proc. SPIE 7478, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX, 74780R (7 October 2009); https://doi.org/10.1117/12.830527
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KEYWORDS
Agriculture

Image segmentation

Earth observing sensors

Landsat

Image classification

Remote sensing

Scanning electron microscopy

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