Skip to Main Content
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
PDF: View PDF (507 KB)
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.
- You may send email to email@example.com to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
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
XML: View XML