Land cover flows based on Corine Land Cover accounting layers (2000-2018)

Data

Prod-ID: DAT-234-en

Created 25 Mar 2020 Published 20 Apr 2020 Last modified 21 Apr 2020

2 min read

Topics: Agriculture ,

The raster datasets describe land cover flows between 2000-2018, 2000-2006, 2006-2012 and 2012-2018 for the EEA39 region. Land Cover Flows summarize and interpret the 44x43=1892 possible one-to-one changes between the 44 CORINE land cover classes. The changes are grouped to so called flows of land cover and are classified according to major land use processes. The nomenclature of flows is organized on 3 hierarchical levels. See lineage on the nomenclature. The classification of land cover flows results from the feasibility studies and subsequent revisions after discussion with experts in agri-environment and forestry. Basically, the classification of land cover flows distinguishes change between broad land cover classes and changes internal to these classes. Analysis of land cover flows supplies a rapid vision of land use change processes taking place and they shed light on the drivers of various land use change processes such as e.g. urbanization.

European data

Land Cover Flows

Land Cover Flows 2000 - 2006
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Land Cover Flows 2000 - 2006 - INSPIRE Metadata
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Land Cover Flows 2006 - 2012
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Land Cover Flows 2006 - 2012 - INSPIRE Metadata
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Land Cover Flows 2012 - 2018
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Land Cover Flows 2012 - 2018 - INSPIRE Metadata
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Land Cover Flows 2000 - 2018
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Land Cover Flows 2000 - 2018 - INSPIRE Metadata
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Metadata

Reporting obligations (ROD)

Not applicable

Relation:

Parent data set: Environmental Accounting Reference Layers - SDI

Parent data set: Corine Land Cover Accounting Layers

Temporal coverage:

2000-2018

Geographic coverage:

Albania , Austria , Belgium , Bosnia and Herzegovina , Bulgaria , Croatia , Cyprus , Czechia , Denmark , Estonia , Finland , France , Germany , Greece , Hungary , Iceland , Ireland , Italy , Kosovo , Latvia , Liechtenstein , Lithuania , Luxembourg , Malta , Montenegro , Netherlands , North Macedonia , Norway , Poland , Portugal , Romania , Serbia , Slovakia , Slovenia , Spain , Sweden , Switzerland , Turkey , United Kingdom

Geographic accuracy:

100m

Tags:

land cover , corine land cover accounting layers , land use , land cover flows

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).

Data sources

Corine Land Cover 2000 (raster 100m) version 20 accounting layer, Jun. 2019
Corine Land Cover 2006 (raster 100m) version 20 accounting layer, Jun. 2019
Corine Land Cover 2012 (raster 100m) version 20 accounting layer, Jun. 2019
Corine Land Cover 2018 (raster 100m) version 20 accounting layer, Jun. 2019

Owners:

European Environment Agency (EEA)

Processors:

European Topic Centre on Urban, Land and Soil Systems (ETC-ULS)

Related content

Based on external data

Environmental Accounting Reference Layers - SDI This is a collection of the geospatial Environmental Accounting Reference Layers of the Integrated Data Platform published on the website and registered in EEA`s Spatial Data Infrastructure (SDI). The link under "GIS data" points to the SDI thematic node on Environmental Accounting Reference Layers.

Corine Land Cover Accounting Layers The present 100m raster datasets are the CORINE Land Cover status layers for 2000, 2006, 2012 and 2018, modified for the purpose of consistent statistical analysis in the land cover change accounting system at EEA. CORINE Land Cover (CLC) data are produced from 1986 for European (EEA member or cooperating) countries. Altogether five mapping inventories were implemented in this period, producing five status layers (CLC1990, CLC2000, CLC2006, CLC2012, CLC2018) and four CLC-Change (CLCC) layers for the corresponding periods (1990-2000, 2000-2006, 2006-2012, 2012-2018). Pan-European CLC and CLCC data are available as vector and raster products. Due to the technical characteristics of CLC and CLCC data, the evolution in CLC update methodology and in quality of input data, time-series statistics derived directly from historical CLC data includes several inconsistencies. In order to create a statistically solid basis for CLC-based time series analysis, a harmonization methodology was elaborated.

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For references, please go to https://www.eea.europa.eu/data-and-maps/data/land-cover-flows-based-on or scan the QR code.

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