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REGIND_Fragmentation/REGIND_Meff2015_Dyna_LAEA (MapServer)

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Service Description: <div style='text-align:Left;font-size:12pt'><div><div><p><span>This raster dataset represents landscape fragmentation across EEA38 plus the United Kingdom in 201</span><span>5</span><span> using normalised effective mesh size (meff) at 1 km resolution.</span></p><p><span /></p><p><span>The indicator was calculated using the cutting-out procedure within the EEA 1 km reference grid. The fragmentation geometry was derived from two principal input datasets: transportation infrastructure, including selected road classes and railways, from the </span><span>commercial </span><span>TomTom MultiNet vector dataset provided by Eurostat; and built-up surfaces derived from the harmonised 100 m Imperviousness Density (IMD) dataset produced within the Copernicus Land Monitoring Service. An imperviousness threshold of 30% was applied to identify built-up areas, while roads were buffered according to their functional class.</span></p><p><span /></p><p><span>The normalised meff value expresses the probability that two randomly selected points within a reporting unit belong to the same unfragmented landscape patch. Values range from 0 to 1, where values close to 0 indicate very high landscape fragmentation and low connectivity, while values close to 1 indicate a largely unfragmented and highly connected landscape.</span></p></div></div></div>

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Layers: Description: This raster dataset represents landscape fragmentation across EEA38 plus the United Kingdom in 2015 using normalised effective mesh size (meff) at 1 km resolution.The indicator was calculated using the cutting-out procedure within the EEA 1 km reference grid. The fragmentation geometry was derived from two principal input datasets: transportation infrastructure, including selected road classes and railways, from the commercial TomTom MultiNet vector dataset provided by Eurostat; and built-up surfaces derived from the harmonised 100 m Imperviousness Density (IMD) dataset produced within the Copernicus Land Monitoring Service. An imperviousness threshold of 30% was applied to identify built-up areas, while roads were buffered according to their functional class.The normalised meff value expresses the probability that two randomly selected points within a reporting unit belong to the same unfragmented landscape patch. Values range from 0 to 1, where values close to 0 indicate very high landscape fragmentation and low connectivity, while values close to 1 indicate a largely unfragmented and highly connected landscape.

Copyright Text: European Environment Agency (EEA) and European Topic Centre on Data Integration and Digitalisation (ETC DI). Produced by GISAT with financial support from the European Commission’s Directorate-General for Regional and Urban Policy (DG REGIO).

Spatial Reference: 3035  (3035)  LatestVCSWkid(0)


Single Fused Map Cache: false

Initial Extent: Full Extent: Units: esriMeters

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info: Supports Dynamic Layers: true

MaxRecordCount: 2000

MaxSelectionCount: 2000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON, PBF

Supports Query Data Elements: true

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true



Child Resources:   Info   Dynamic Layer

Supported Operations:   Export Map   Identify   QueryLegends   QueryDomains   Find   Return Updates