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The map provides information about morphological spatial pattern of EU forest in 2012. The input data is the Forest Area 2012 based on Copernicus HRL Forest products at 100m spatial resolution. This binary forest mask is divided into seven morphological spatial pattern classes: Core, Islet, Perforation, Edge, Loop, Bridge, and Branch (Forest), while the Background (Non-Forest) is divided into three classes: Core-Opening (Background inside Core), Border-Opening (Background along Foreground boundary) and Background outside of Foreground.<\/SPAN><\/SPAN><\/P>

The Morphological Spatial Pattern Analysis (MSPA) methodology was developed by JRC. Details on the methodology, are described in MSPA-Manual, which is included in the GuidosToolbox software; Soille & Vogt, 2008. In short, MSPA is a customized sequence of mathematical morphological operators targeted at the description of the geometry and connectivity of the image components.<\/SPAN><\/SPAN><\/P>

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The map provides information about morphological spatial pattern of EU forest in 2012. The input data is the Forest Area 2012 based on Copernicus HRL Forest products at 100m spatial resolution. This binary forest mask is divided into seven morphological spatial pattern classes: Core, Islet, Perforation, Edge, Loop, Bridge, and Branch (Forest), while the Background (Non-Forest) is divided into three classes: Core-Opening (Background inside Core), Border-Opening (Background along Foreground boundary) and Background outside of Foreground.<\/SPAN><\/SPAN><\/P>

The Morphological Spatial Pattern Analysis (MSPA) methodology was developed by JRC. Details on the methodology, are described in MSPA-Manual, which is included in the GuidosToolbox software; Soille & Vogt, 2008. In short, MSPA is a customized sequence of mathematical morphological operators targeted at the description of the geometry and connectivity of the image components.<\/SPAN><\/SPAN><\/P>

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The map provides information about morphological spatial pattern of EU forest in 2012. The input data is the Forest Area 2012 based on Copernicus HRL Forest products at 100m spatial resolution. This binary forest mask is divided into seven morphological spatial pattern classes: Core, Islet, Perforation, Edge, Loop, Bridge, and Branch (Forest), while the Background (Non-Forest) is divided into three classes: Core-Opening (Background inside Core), Border-Opening (Background along Foreground boundary) and Background outside of Foreground.<\/SPAN><\/SPAN><\/P>

The Morphological Spatial Pattern Analysis (MSPA) methodology was developed by JRC. Details on the methodology, are described in MSPA-Manual, which is included in the GuidosToolbox software; Soille & Vogt, 2008. In short, MSPA is a customized sequence of mathematical morphological operators targeted at the description of the geometry and connectivity of the image components.<\/SPAN><\/SPAN><\/P>

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