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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.2020.10206 5

  • 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

Citation 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

  • 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
Language
English
Character set
UTF8
Topic category
  • Imagery base maps earth cover

Extent

N
S
E
W
thumbnail


Begin date
2015-06-27T10:25:31
End date
2017-09-29T10:20:07
 

Distribution

Distribution

Distribution format

Digital transfer options

OnLine resource
LCC_DE_2015 ( OGC:WMS )

Land Cover DE, 2015

OnLine resource
EOC Geoservice Map Context ( WWW:LINK-1.0-http--link )

EOC Geoservice Map Context (de:lcc)

OnLine resource
HTTP Download ( WWW:LINK-1.0-http--link )

HTTP Download (Land Cover DE)

OnLine resource
Scientific publication ( WWW:LINK-1.0-http--link )

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
Yes

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.2020.10206 5

 

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
No
 

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

overview
large_thumbnail
overview
thumbnail

Spatial extent

N
S
E
W
thumbnail


Keywords

GEMET - INSPIRE themes, version 1.0
Land cover

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Access to the portal
Read here the full details and access to the data.

Associated resources

Not available


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