Landscape fragmentation Effective Mesh Density time-series: major and medium anthropogenic fragmenting elements (FGA2-S)

Data
Prod-ID: DAT-222-en
Created 28 Nov 2019 Published 16 Dec 2019 Last modified 17 Dec 2019
1 min read
The datasets below correspond to a new version of the Effective Mesh Density (seff) 2016 dataset with improved input data, for the years 2009, 2012 and 2015. This time-series uses the Copernicus Imperviousness and the TomTom TeleAtlas datasets as fragmenting geometries. The Effective Mesh Density (seff) is a measure of the degree to which movement between different parts of the landscape is interrupted by a Fragmentation Geometry (FG). FGs are defined as the presence of impervious surfaces and traffic infrastructure, including medium sized roads. The more FGs fragment the landscape, the higher the effective mesh density hence the higher the fragmentation. An important consequence of landscape fragmentation is the increased isolation of ecosystem patches that breaks the structural connections and decreases resilience and ability of habitats to provide various ecosystem services. Fragmentation also influences human communities, agriculture, recreation and overall quality of life. Monitoring how fragmentation decreases landscape quality and changes the visual perception of landscapes provides information for policy measures that aim at improving ecosystem condition and restoration as well as maintaining the attractiveness of landscapes for recreational activities. The geographic coverage of the datasets is EEA39.

European data

Landscape fragmentation Effective Mesh Density time-series
  • Landscape fragmentation Effective Mesh Density time-series, 2009: major and medium anthropogenic fragmenting elements (FGA2-S) version 1.0, Nov. 2019
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  • Landscape fragmentation Effective Mesh Density time-series, 2009: major and medium anthropogenic fragmenting elements (FGA2-S) version 1.0, Nov. 2019 - INSPIRE metadata
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  • Landscape fragmentation Effective Mesh Density time-series, 2012: major and medium anthropogenic fragmenting elements (FGA2-S) version 1.0, Nov. 2019
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  • Landscape fragmentation Effective Mesh Density time-series, 2012: major and medium anthropogenic fragmenting elements (FGA2-S) version 1.0, Nov. 2019 - INSPIRE metadata
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  • Landscape fragmentation Effective Mesh Density time-series, 2015: major and medium anthropogenic fragmenting elements (FGA2-S) version 1.0, Nov. 2019
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  • Landscape fragmentation Effective Mesh Density time-series, 2015: major and medium anthropogenic fragmenting elements (FGA2-S) version 1.0, Nov. 2019 - INSPIRE metadata
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Metadata

information.png Reporting obligations (ROD)
  • Not applicable
Relation:
Parent data set:  Copernicus Land Monitoring Service - High Resolution Layers - Imperviousness
information.png Temporal coverage:
information.png Geographic coverage:
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information.png Geographic accuracy:
100m
information.png Tags:
, , , , , , , , ,
information.png Rights:
EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
information.png Data sources

Copernicus High Resolution Layer - Imperviousness degree (30% of IMD), TeleAtlas road network database

information.png Owners:
European Environment Agency (EEA)
information.png Processors:
European Topic Centre on Urban, Land and Soil Systems (ETC-ULS)
 

Related content

Based on external data

Copernicus Land Monitoring Service - High Resolution Layers - Imperviousness The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.

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