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  LANDMATE PFT land cover dataset for Europe 2015 (Version 1.0)

The LANDMATE PFT dataset provides a land cover map for Europe for the year 2015 in 0.1° (~10km) and 0.018° (~2km) resolution. The dataset is based on land cover data of the ESA Climate Change Initiative (ESA-CCI, native resolution: 300m) which is translated into 16 plant functional types (PFTs) and non-vegetated classes employing the cross-walking procedure introduced by Reinhart et al. (2021). The translation is done under consideration of the Holdridge Life Zones (HLZs), a system, that classifies land areas based on bioclimatic properties. Through the HLZs, regional distinction of the individual PFT distribution can be achieved. The land cover information is given as fractions per grid cell where each fraction represents the area covered by the respective land cover within each grid cell (0-1).

The dataset is available in two different horizontal resolutions, 0.1° (~10km) and 0.018° (~2km), whereby the land cover information is resampled using a fractional approach to achieve the desired resolution.

The LANDMATE PFT dataset was carefully developed and designed to meet the present and future requirements of regional climate models and is therefore recommended to be used for regional climate modeling over the European Continent.

The LANDMATE PFT dataset (0.1° resolution) serves as basemap for the historical and future land use and land cover dataset LUCAS LUC developed by Hoffmann et al. (2021).

 
Citation proposal
Vanessa Reinhart (Climate Service Center Germany) - Dr. Peter Hoffmann (Climate Service Center Germany) - Dr. Diana Rechid (Climate Service Center Germany). LANDMATE PFT land cover dataset for Europe 2015 (Version 1.0). https://gdk.gdi-de.org/geonetwork/srv/api/records/de.dkrz.wdcc.iso3888399
 

Simple

Alternate title
LANDMATE PFT land cover dataset for Europe 2015 (Version 1.0)
Date ( Creation )
2021-04-27
Identifier
None
Identifier
doi:10.26050/WDCC/LM_PFT_LandCov_EUR2015_v1.0 / LANDMATE PFT land cover dataset for Europe 2015 (Version 1.0)

  Originator

Climate Service Center Germany - Vanessa Reinhart  
Website
http://www.climate-service-center.de  
Other citation details
doi:10.26050/WDCC/LM_PFT_LandCov_EUR2015_v1.0

  Author

Climate Service Center Germany - Vanessa Reinhart  
Website
http://www.climate-service-center.de  

  Author

Climate Service Center Germany - Dr. Peter Hoffmann  
Website
http://www.climate-service-center.de  

  Author

Climate Service Center Germany - Dr. Diana Rechid  
Website
http://www.climate-service-center.de  

  Point of contact

Climate Service Center Germany - Vanessa Reinhart  
Website
http://www.climate-service-center.de  
Keywords ( Theme )
  • land use change
Keywords ( Theme )
  • regional climate modeling
Keywords ( Theme )
  • land cover change
Metadata language
eng English
N
S
E
W


Begin date
2015-01-01
End date
2015-01-01
Distribution format
  • NetCDF (network Common Data Format )

Distributor

  Distributor

 
Units of distribution
Mb
Transfer size
1796
OnLine resource
http://doi.org/doi:10.26050/WDCC/LM_PFT_LandCov_EUR2015_v1.0  
Hierarchy level
series Series

gmd:MD_Metadata

File identifier
de.dkrz.wdcc.iso3888399   XML
Hierarchy level
series Series
Hierarchy level name
LM_PFT_LandCov_EUR2015_v1.0
Date stamp
2022-05-29T04:25:44
Metadata standard name
ISO 19115
Metadata standard version
ISO 19139 / DKRZ ISO Simple Profile V1.0

  Author

Climate Service Center Germany - Vanessa Reinhart  
Website
http://www.climate-service-center.de  

  Author

Climate Service Center Germany - Dr. Peter Hoffmann  
Website
http://www.climate-service-center.de  

  Author

Climate Service Center Germany - Dr. Diana Rechid  
Website
http://www.climate-service-center.de  

  Point of contact

Climate Service Center Germany - Vanessa Reinhart  
Website
http://www.climate-service-center.de  

  Originator

Climate Service Center Germany - Vanessa Reinhart  
Website
http://www.climate-service-center.de  
Dataset URI
http://doi.org/doi:10.26050/WDCC/LM_PFT_LandCov_EUR2015_v1.0
 
 

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de.dkrz.wdcc.iso3888399   Access to the portal Read here the full details and access to the data.

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