Date ( Creation )

2019-06-11

Date ( Publication )

2019-07-23

Edition

01.00

Identifier

eea_r_3035_100_m_clc-2018-acc_p_2017-2018_v01_r00

Maintenance and update frequency

As needed

GEMET - INSPIRE themes, version 1.0 ( Theme )

• Land cover
• Land use

Keywords

Keywords

GEMET ( Theme )

• accounting
• land use
• land cover

Continents, countries, sea regions of the world. ( Place )

• EEA39

Spatial scope ( Theme )

• European

INSPIRE ( Theme )

• INSPIRE

Use limitation

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 (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).

Access constraints

Other restrictions

Other constraints

No limitations to public access

Spatial representation type

Grid

Distance

100 m

Metadata language

en

Topic category

• Imagery base maps earth cover
• Geoscientific information

Begin date

2017-01-01

End date

2018-12-31

Unique resource identifier

EPSG:3035

Distribution format

• GTiff ( 1 )

OnLine resource

https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-accounting-layers ( WWW:LINK-1.0-http--link )

OnLine resource

https://land.discomap.eea.europa.eu/arcgis/rest/services/Land/CLC_accounting_layer_2018/ImageServer ( ESRI:REST )

OnLine resource

0 ( OGC:WMS )

CLC_accounting_layer_2018

OnLine resource

Direct download ( WWW:URL )

Hierarchy level

Dataset

Statement

The Corine Land Cover (CLC) is a European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on (visual or semi-automated) interpretation of high-resolution multispectral satellite imagery by the national teams of the participating countries - the EEA member or cooperating countries. Besides the original and still dominating Computer Assisted Photo-Interpretation (CAPI) methodology, the number of countries applying more advanced (bottom-up) solutions is increasing.

National teams provided vector CLC datasets within the CLC1990, CLC2000 CLC2006, CLC2012 and CLC2018 projects. All features in the vector databases are classified into the standardized hierarchical 3-level CLC nomenclature, which includes 44 classes optimized for pan-European mapping. CLC status layers are characterized with 25 ha Minimum Mapping Unit (MMU) and 100m Minimum Mapping Width (MMW), while the applied MMU for CLC change layers is 5 ha. CLC change polygons are created directly, based on visual comparison and interpretation of satellite images from the two corresponding dates. Update of CLC status layers is done by adding CLC-Change layer to the previous CLC status layer. The resulting national land cover inventories are integrated into a seamless land cover map of Europe. As a next step, all seamless vector layers are rasterized to the 100m resolution grid with the CELL_CENTER method.

The creation of the CLC accounting layers:

The solution applied for the harmonization of CLC time-series is based on the idea to combine CLC status and change information in order to create a homogenous quality time series of CLC / CLC-Change layers for land cover accounting purposes fulfilling the relation: CLC-Change = Accounting CLC_ new status – Accounting CLC old status. As a consequence of this criteria, CLC changes for longer period (e.g. 2000-2018) may be derived from the differences of the corresponding CLC accounting status layers accordingly.

The CLC accounting methodology is characterized by two major steps:

I. Add more detail to the latest CLC status layer (CLC2018) from previous CLCC information and use this modified layer (CLC2018 accounting layer) as a reference,

II. Create previous CLC (accounting) status layers by "backdating" of the reference, realized by subtracting CLCC-based information from CLC2018 accounting layer.

Based on the above principles, the working steps of the creation of CLC accounting layers are as follows:

(1) Include formation information from the CLC-Change layers into the CLC2018 status layer, thereby creating the CLC2018 accounting layer, as follows:

(1a) Overwrite CLC2018 with formation code from CLC-Change 2000-2006. Intermediate result: A1_CLC2018,

(1b) Overwrite A1_CLC2018 with formation code from CLC-Change 2006-2012. Intermediate result: A2_CLC2018

(1c) Overwrite A2_CLC2018 with formation code from CLC-Change 2012-2018. Result: Final accounting layer for the reference year 2018 (the present layer).

(2) Create CLC2012 accounting layer by including consumption information into CLC2018ACC_V2018_20.tif from CLC-Change 2012-2018. Result: Final accounting layer for the reference year 2012.

(3) Create CLC2006 accounting layer by including consumption information into CLC2012ACC_V2018_20.tif from CLC-Change 2006-2012. Result: Final accounting layer for the reference year 2006.

(4) Create CLC2000 accounting layer by including consumption information into CLC2006ACC_V2018_20.tif from CLC-Change 2000-2006. Result: Final accounting layer for the reference year 2000.

The harmonization was carried out on the version V2018_20 of Corine Land Cover European database (RELEASE V2018_20; dated 06/2019).

Notes

The simple solution applied for the combination of CLC and CLCC layers causes some known issues, such as:

(1) Modified CLC layers lose statistical comparability with original CLC layers, because of increased geometry - smaller than 25ha MMU features will appear locally where changes appear.

(2) “Fake features” may appear in the backdated CLC status layers due to inconsistencies between CLC-Change datasets and due to omitted (not interpreted) changes

In the frame of ETC-ULS activity a raster generalization methodology was developed to eliminate fake features and attenuate effects of mixed MMU (https://forum.eionet.europa.eu/etc-urban-land-and-soil-systems/library/5.-copernicus-rfs16_006-sc-56586/7-task-7-clc-adjusted-layers-clc-cube-be-revised). This methodology has not been approved yet, so not applied to actual CLC accounting layers.

Source

• c6b90e1a-314e-40bb-a54d-a8737b071e4e
• 497afb08-cfc1-4612-9d37-f62b7e013431
• d1a4d3f8-c362-4730-a97c-b00acffd501e
• 4e6e5ce3-8680-42c3-a4f6-0e40d4e6972e

gmd:MD_Metadata

File identifier

5a5f43ca-1447-4ed0-b0a6-4bd2e17e4f4d XML

Metadata language

en

Character set

UTF8

Hierarchy level

Dataset

Date stamp

2021-11-08T18:45:39

Metadata standard name

ISO 19115/19139

Metadata standard version

1.0