Corine Land Cover

Introduction

Corine 2018: Data in windPRO. Wind farm west of Hamburg, Germany.

Coverage of the Corine 2018 dataset.

Corine land cover products in windPRO are data-layers from years 2006, 2012 and 2018. National centers for land-cover analysis are producing the datasets - with the majority of the national authorities using visual interpretation of high-resolution satellite imagery. In some countries other semi-automatic methods are applied using national in-situ data, satellite imagery and GIS-tools. The dataset has a legend with 44 classes of land-cover. These have been mapped in to roughness lengths for use in WindPRO. It is produced and delivered by the European Environment Agency (EEA) - http://www.eea.europa.eu/ through the Copernicus Land Monitoring Service.

Dataset Overview

• Spatial Coverage: This dataset covers most parts of Europe, with the recent version coverage of 39 countries.
• Resolution: 100 m.
• Data Type: Land Cover / Land Use Mapping - with roughness length mapping by EMD (lookup table)
• Versions:
  • 2018: Representing a time consistency 2017 - 2018
  • 2012: Representing a time consistency 2011 - 2012
  • 2006: Representing a time consistency 2006 +/- 1 year
• Geometic Accuracy (Satellite Data):
  • 2018: <10m (based on Sentinel-2 imagery)
  • 2012: <25m
  • 2006: <25m
• Thematic Accuracy: >85%

Availability from within WindPRO

The data are available directly from within windPRO. The data can be accessed from the online-services in the following objects:

• Area Object (with purpose set to 'roughness map based on closed lines')
• Line Object (with purpose set to 'roughness lines')

Please note: Data stored in the 'Area Object' can be (fairly) easily edited by changing the legend / lookup-table definitions - as this data-type preserves the original metadata (land cover groups). This is not possible when loading roughness-lines data directly in the line object.

Usage Notes

1. Always make a manual evaluation and adjustment of the roughness lengths obtained from this dataset; they are based on a simplified lookup table (as seen below) and you may find that any in-situ values will differ from the model values obtained from the lookup table.
2. If you want to modify the values obtained: Load the data into a windPRO area object.

Legends

The Corine Land Cover Datasets (2006, 2012 and 2018) datasets have 44 different categories that EMD has mapped in to a suggested roughness length, z0. The values from the column 'EMD Roughness Length' in the lookup-table (LUT) below are used as defaults when the data is loaded into the area-object or line-object. The comparison to the DTU default LUT-values are shown as an additional column. This is done to highlight that the lookup-table values are uncertain, and likely to be dependent of the geographical region where they are applied and also the expert making the estimate. As such, the used values should be validated, e.g. using local mast data (the wind profile) and by cross-predictions between masts.

Table: Corine Land Cover (2006, 2012, 2018) with Roughness Classification Data by EMD (default) and DTU.

No	Land Cover Type	EMD Roughness Length	DTU Roughness Length
1	Continuous urban fabric 1.1.1	z0=0.50000	z0=1.00000
2	Discontinuous urban fabric 1.1.2	z0=0.40000	z0=0.80000
3	Industrial or commercial units 1.2.1	z0=0.70000	z0=0.70000
4	Road and rail networks and associated land 1.2.2	z0=0.10000	z0=0.10000
5	Port areas 1.2.3	z0=0.50000	z0=0.50000
6	Airports 1.2.4	z0=0.03000	z0=0.01000
7	Mineral extraction sites 1.3.1	z0=0.10000	z0=0.05000
8	Dump sites 1.3.2	z0=0.10000	z0=0.05000
9	Construction sites 1.3.3	z0=0.30000	z0=0.30000
10	Green urban areas 1.4.1	z0=0.40000	z0=0.80000
11	Sport and leisure facilities 1.4.2	z0=0.50000	z0=0.20000
12	Non-irrigated arable land 2.1.1	z0=0.05600	z0=0.05000
13	Permanently irrigated land 2.1.2	z0=0.05600	z0=0.03000
14	Rice fields 2.1.3	z0=0.01840	z0=0.03000
15	Vineyards 2.2.1	z0=0.30000	z0=0.30000
16	Fruit trees and berry plantations 2.2.2	z0=0.40000	z0=0.40000
17	Olive groves 2.2.3	z0=0.40000	z0=0.40000
18	Pastures 2.3.1	z0=0.03600	z0=0.03000
19	Annual crops associated with permanent crops 2.4.1	z0=0.05600	z0=0.10000
20	Complex cultivation patterns 2.4.2	z0=0.05600	z0=0.15000
21	Land principally occupied by agriculture, with significant areas of natural vegetation 2.4.3	z0=0.05600	z0=0.20000
22	Agro-forestry areas 2.4.4	z0=0.50000	z0=0.50000
23	Broad-leaved forest 3.1.1	z0=0.50000	z0=1.00000
24	Coniferous forest 3.1.2	z0=0.50000	z0=1.20000
25	Mixed forest 3.1.3	z0=0.50000	z0=1.10000
26	Natural grassland 3.2.1	z0=0.05600	z0=0.03000
27	Moors and heathland 3.2.2	z0=0.06000	z0=0.05000
28	Sclerophyllous vegetation 3.2.3	z0=0.05600	z0=0.07000
29	Transitional woodland-scrub 3.2.4	z0=0.40000	z0=0.40000
30	Beaches, dunes, and sand plains 3.3.1	z0=0.01000	z0=0.00300
31	Bare rock 3.3.2	z0=0.05000	z0=0.05000
32	Sparsely vegetated areas 3.3.3	z0=0.20000	z0=0.03000
33	Burnt areas 3.3.4	z0=0.20000	z0=0.20000
34	Glaciers and perpetual snow 3.3.5	z0=0.00500	z0=0.00500
35	Inland marshes 4.1.1	z0=0.05000	z0=0.05000
36	Peat bogs 4.1.2	z0=0.01840	z0=0.03000
37	Salt marshes 4.2.1	z0=0.03480	z0=0.02000
38	Salines 4.2.2	z0=0.03000	z0=0.00500
39	Intertidal flats 4.2.3	z0=0.00050	z0=0.00000
40	River 5.1.1	z0=0.00000	z0=0.00000
41	Lake 5.1.2	z0=0.00000	z0=0.00000
42	Coastal lagoons 5.2.1	z0=0.00000	z0=0.00000
43	Estuaries 5.2.2	z0=0.00000	z0=0.00000
44	Sea and ocean 5.2.3	z0=0.00000	z0=0.00000
45	NO DATA	z0=-1.00000	N/A

License and Acknowledgement

European Environment Agency (EEA) standard re-use policy applies: 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).

The following parties are acknowledged:

• European Environment Agency (EEA) is acknowledged for the development and release of this free and open dataset.
• Integration of this dataset into EMD services was co-supported through the InnoWind project (www.innowind.dk) which is co-funded by the Danish Innovation Fund

External Links

1. Corine 2018: https://land.copernicus.eu/pan-european/corine-land-cover/clc2018
2. Corine 2012: https://land.copernicus.eu/pan-european/corine-land-cover/clc-2012
3. Corine 2006: http://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2006-raster
4. InnoWind project - http://www.innowind.dk