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Service Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The </SPAN><SPAN>map </SPAN><SPAN>provides information about morphological spatial pattern of EU forest in 201</SPAN><SPAN>5</SPAN><SPAN>. The input data is the Forest Area 201</SPAN><SPAN>5</SPAN><SPAN> 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></P><P><SPAN>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 &amp; 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></P></DIV></DIV></DIV>

Map Name: Morphological Spatial Pattern Analysis

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The </SPAN><SPAN>map </SPAN><SPAN>provides information about morphological spatial pattern of EU forest in 201</SPAN><SPAN>5</SPAN><SPAN>. The input data is the Forest Area 201</SPAN><SPAN>5</SPAN><SPAN> 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></P><P><SPAN>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 &amp; 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></P></DIV></DIV></DIV>

Copyright Text: © EEA

Spatial Reference: 102100  (3857)  LatestVCSWkid(0)


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Spatial Reference: 102100  (3857)  LatestVCSWkid(0)

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Spatial Reference: 102100  (3857)  LatestVCSWkid(0)

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Document Info:

Title: Forest morphological spatial pattern 2015.mxd
Author:
Comments: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The </SPAN><SPAN>map </SPAN><SPAN>provides information about morphological spatial pattern of EU forest in 201</SPAN><SPAN>5</SPAN><SPAN>. The input data is the Forest Area 201</SPAN><SPAN>5</SPAN><SPAN> 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></P><P><SPAN>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 &amp; 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></P></DIV></DIV></DIV>
Subject: The map provides information about morphological spatial pattern (MSPA, developed by JRC) of EU forest in 2015. The input data is the Forest Area 2015 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.
Category:
Keywords: Forest,geodata,land,cover
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