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Mapping spatial patterns with morphological image processingAuthor(s): Peter Vogt; Kurt H. Riitters; Christine Estreguil; Jacek Kozak; Timothy G. Wade; James D. Wickham
Source: Landscape Ecol., vol. 22: 171-177
Publication Series: Miscellaneous Publication
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DescriptionWe use morphological image processing for classifying spatial patterns at the pixel level on binary land-cover maps. Land-cover pattern is classified as 'perforated,' 'edge,' 'patch,' and 'core' with higher spatial precision and thematic accuracy compared to a previous approach based on image convolution, while retaining the capability to label these features at the pixel level for any scale of observation. The implementation of morphological image processing is explained and then demonstrated, with comparisons to results from image convolution, for a forest map of the Val Grande National Park in North Italy.
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CitationVogt, Peter; Riitters, Kurt H.; Estreguil, Christine; Kozak, Jacek; Wade, Timothy G.; Wickham, James D. 2006. Mapping spatial patterns with morphological image processing. Landscape Ecol., vol. 22: 171-177
Keywordsmorphological image processing, spatial pattern, forest fragmentation
- An indicator of forest dynamics using a shifting landscape mosaic
- Evaluating anthropogenic risk of grassland and forest habitat degradation using land-cover data
- Fragmentation of Continental United States Forests
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