Report

Landscape Ecology

, Volume 22, Issue 2, pp 171-177

First online:

Mapping Spatial Patterns with Morphological Image Processing

  • Peter VogtAffiliated withLand Management and Natural Hazards Unit (LMNH), European Commission – DG Joint Research Centre, Institute for Environment and Sustainability (IES) Email author 
  • , Kurt H. RiittersAffiliated withUS Forest Service, Southern Research Station
  • , Christine EstreguilAffiliated withLand Management and Natural Hazards Unit (LMNH), European Commission – DG Joint Research Centre, Institute for Environment and Sustainability (IES)
  • , Jacek KozakAffiliated withInstitute of Geography and Spatial Management, Jagiellonian University
  • , Timothy G. WadeAffiliated withUS Environmental Protection Agency, Environmental Sciences Division
  • , James D. WickhamAffiliated withUS Environmental Protection Agency, Environmental Sciences Division

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Abstract

We 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.

Keywords

Morphological image processing Spatial pattern Forest fragmentation