Title: Morphological analysis of state and trends of landscape pattern.
Authors: VOGT Peter
Citation: INTERNATIONAL FORESTRY REVIEW vol. 16 no. 5 p. 350
Publisher: COMMONWEALTH FORESTRY ASSOC
Publication Year: 2014
JRC N°: JRC92858
ISSN: 1465-5489
URI: http://www.iufro.org/download/file/16684/4139/iwc14-abstracts_pdf/
http://publications.jrc.ec.europa.eu/repository/handle/JRC92858
Type: Articles in periodicals and books
Abstract: Pattern, connectivity, and fragmentation can be considered as key elements for a comprehensive quantitative analysis of digital landscape images. Morphological spatial pattern analysis (MSPA) provides an intuitive, repeatable, and scale independent description of image pattern structures, i.e., forest patches. Dedicated additional routines describe and quantify the connectivity network and the spatial fragmentation of the forest landscape. A morphology-based change analysis aims to reliably detect coherent forest change areas by excluding uncertainties due to differences in image quality, ortho-correction, and classification accuracy of the input images. These tools and more are available in the free software GuidosToolbox (http://forest.jrc.ec.europa. eu/download/software/guidos). The principal processing steps are explained and illustrated on synthetic and sample data sets. The reliable assessment of forest pattern and its change over time is a prerequisite for a meaningful understanding and interpretation of forest landscape dynamics. As an additional benefit, it permits measuring progress in biodiversity and landscape planning projects. The provision of tools for monitoring and especially quantifying the impact of human activities on forest landscapes should facilitate the design of efficient and assessable forest resource policies.
JRC Directorate:Sustainable Resources

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