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  Land Cover DE - Sentinel-2 - Germany, 2015

This land cover classification of Germany was created using Sentinel-2 imagery from the years 2015 to 2017 and LUCAS 2015 in-situ reference data (https://ec.europa.eu/eurostat/web/lucas). It contains seven land cover types: (1) artificial land, (2) open soil, (3) high seasonal vegetation, (4) high perennial vegetation, (5) low seasonal vegetation, (6) low perennial vegetation and (7) water with a spatial resolution of 10m x 10m. For further information, please see the following publication: https://doi.org/10.1016/j.jag.2020.102065
 
Citation proposal
German Aerospace Center (DLR) - German Aerospace Center (DLR). Land Cover DE - Sentinel-2 - Germany, 2015. https://gdk.gdi-de.org/geonetwork/srv/api/records/8205e1c9-14c3-47a7-ac12-8c890225680a
 
  • Identification
  • Distribution
  • Quality
  • Spatial rep.
  • Ref. system
  • Content
  • Portrayal
  • Metadata
  • Md. constraints
  • Md. maintenance
  • Schema info

Identification

Data identification

Citation

Date ( Creation )
2020-02-05T12:48:00
Edition
1.0
Identifier
https://geoservice.dlr.de/catalogue/srv/metadata/8205e1c9-14c3-47a7-ac12-8c890225680a
Presentation form
Digital map
Other citation details
DOI: 10.15489/1ccmlap3mn39
Status
Completed

  Author

German Aerospace Center (DLR) -  

  Author

German Aerospace Center (DLR) -  

  Point of contact

German Aerospace Center (DLR)  

Maintenance and update frequency
As needed
GEMET - INSPIRE themes, version 1.0 ( Theme )
  • Land cover
Keywords
  • Sentinel-2
  • Land cover map
  • Germany
Use limitation
Nutzungseinschränkungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Use Limitations: DLR not liable for damage resulting from use.
Use limitation
Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by-nc/4.0 / Terms of use: License, https://creativecommons.org/licenses/by-nc/4.0

Legal constraints

Access constraints
Other restrictions
Other constraints
License

Legal constraints

Use constraints
License
Use constraints
Other restrictions
Other constraints
Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by-nc/4.0 / Terms of use: License, https://creativecommons.org/licenses/by-nc/4.0
Other constraints

{"id": "cc-by-nc/4.0",

"name": "Creative Commons Namensnennung - Nicht kommerziell 4.0 International (CC BY-NC 4.0)",

"url": "http://dcat-ap.de/def/licenses/cc-by-nc/4.0",

"quelle": "Copyright DLR (year of production)"}

Spatial representation type
Grid
Denominator
20000
Metadata language
English
Character set
UTF8
Topic category
  • Imagery base maps earth cover

Extent

N
S
E
W


 

Distribution

Distribution

Distribution format
  • ()

Digital transfer options

OnLine resource
LCC_DE_2015  

Land Cover DE, 2015

OnLine resource
EOC Geoservice Map Context  

EOC Geoservice Map Context (de:lcc)

OnLine resource
HTTP Download  

HTTP Download (Land Cover DE)

OnLine resource
Scientific publication  

Scientific publication describing the Land Cover DE product

 

Quality

Data quality

Hierarchy level
Dataset

Domain consistency

Measure identification
INSPIRE / Conformity_001

Conformance result

Citation

Date ( Publication )
2010-12-08
Explanation
See the referenced specification.
Pass
true

Lineage

Statement
Input data: Sentinel-2 multispectral imagery, LUCAS in-situ reference points, and imperviousness layers from OSM and the LoD1-de building model.
Description
This dataset was created using a median mosaic of all collected Sentinel-2 Scenes up until April 30, 2017 with a cloud cover of less than 60 percent. From these a total of 226 spectral and textural image features were derived. Additionally imperviousness from buildings, roads and railways were included. A supervised machine learning classifier was trained with in-situ reference points from the 2015 Land Use and Coverage Area Frame Survey (LUCAS). For further details we refer to the following publication: Weigand, M., Staab, J., Wurm, M., Taubenböck, H. (2020): Spatial and semantic effects of LUCAS samples on fully automated land use/land cover classification in high-resolution Sentinel-2 data, International Journal of Applied Earth Observation and Geoinformation, Volume 88, 102065, ISSN 0303-2434. https://doi.org/10.1016/j.jag.2020.102065
 

Spatial rep.

Grid spatial representation

Number of dimensions
2

Dimension

Dimension name
Column
Dimension size
74592
Resolution
10  m

Dimension

Dimension name
Row
Dimension size
90211
Resolution
10  m
Cell geometry
Area
Transformation parameter availability
false
 

Ref. system

Reference system identifier
EPSG / ETRS89 / LAEA Europe (EPSG:3035) / 8.6
 

Metadata

Metadata

File identifier
8205e1c9-14c3-47a7-ac12-8c890225680a   XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Hierarchy level name
Dataset
Date stamp
2024-11-11T08:38:09
Metadata standard name
19115-1:2014/19139
Metadata standard version
1.0

  Point of contact

German Aerospace Center (DLR)  

 
 

  Overviews

large_thumbnail
thumbnail

  Provided by

  Views

  • INSPIRE
  • Simple
  • Full
  • XML
8205e1c9-14c3-47a7-ac12-8c890225680a   Access to the portal Read here the full details and access to the data.

  Associated resources

Not available


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