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Tree Species - Sentinel-2 - Germany, 2016

The Tree Species Germany product provides a map of dominant tree species across Germany for the year 2016 at a spatial resolution of 10 meters. The map depicts the distribution of ten tree species groups derived from multi-temporal optical Sentinel-2 data. The input features explicitly incorporate phenological information to capture seasonal vegetation dynamics relevant for species discrimination. A total of over 100,000 training and test samples were compiled from publicly accessible sources, including urban tree inventories, Google Earth Pro, Google Street View, and field observations. The final product was created by majority-voting on annual XGBoost Sentinel-2 tree species classifications (2016–2024) and filtering with forest structure data. If no clear majority vote was achieved, the class uncertain was assigned. The Tree Species Germany 2016 product achieves an overall F1-score of 0.95. For the dominant species pine, spruce, beech, and oak, class-wise F1-scores range from 0.92 to 0.99, while F1-scores for other widespread species such as birch, alder, larch, Douglas fir, fir, and other deciduous species range from 0.85 to 0.96. The product provides a consistent, high-resolution, and up-to-date representation of tree species distribution across Germany. Its transferable, cost-efficient, and repeatable methodology enables reliable large-scale forest monitoring and offers a valuable basis for assessing spatial patterns and temporal changes in forest composition in the context of ongoing climatic and environmental dynamics.

Simple

Date (Creation)
2026-01-08T00:00:00
Citation identifier
https://geoservice.dlr.de/catalogue/srv/metadata/8402a9a6-07dd-4456-bd15-d98a879fbfcb
Presentation form
Digital map
Other citation details

DOI: 10.15489/epg4bddif308

Purpose

The Tree Species Germany product represents the distribution of dominant tree species across Germany for the year 2016 at a spatial resolution of 10 meters.

Status
Completed
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

Spatial scope
  • National
Keywords
  • DLR

  • EOC

  • forest

  • tree species

  • machine learning

  • time-series

  • Sentinel-2

  • Germany

  • opendata

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.

Access constraints
Other restrictions
Other constraints
There are no limitations on public access to spatial data sets and services.
Use constraints
Other restrictions
Other constraints

Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by/4.0/ Terms of use: License, https://creativecommons.org/licenses/by/4.0/

Other constraints

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

"name": "Creative-Commons - Attribution 4.0 International (CC BY 4.0)",

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

"quelle": "Copyright DLR (2025)"}

Spatial representation type
Grid
Denominator
20000
Language
English
Character set
UTF8
Topic category
  • Biota
N
S
E
W
thumbnail


Begin date
2015-07-01T00:00:00
End date
2025-10-31T23:59:59
Unique resource identifier
EPSG:3035 - ETRS89-extended / LAEA Europe
Number of dimensions
2
Dimension name
Column
Dimension size
65270
Resolution
10  m
Dimension name
Row
Dimension size
88222
Resolution
10  m
Cell geometry
Area
Transformation parameter availability
No
Distribution format
  • GeoTIFF ()

OnLine resource
HTTP download Tree Species Germany ( WWW:LINK-1.0-http--link )
OnLine resource
https://geoservice.dlr.de/eoc/land/wms?SERVICE=WMS&REQUEST=GetCapabilities ( OGC:WMS-http-get-capabilities )
OnLine resource
TREE_SPECIES_DE_2016 ( OGC:WMS )

Tree Species - Sentinel-2 - Germany, 2016

OnLine resource
EOC Geoservice Dataset ( WWW:LINK-1.0-http--link )
OnLine resource
Scientific publication (Wegler et al. 2026) ( WWW:LINK-1.0-http--link )

Scientific publication

Hierarchy level
Dataset

Domain consistency

Measure identification
INSPIRE / Conformity_001

Conformance result

Date (Publication)
2010-12-08
Explanation

See the referenced specification.

Pass
Yes
Statement

Input data: Sentinel-2, -1, Copernicus GLO-30 DEM

Description

Majority voting of yearly XGBoost models

Accuracy information: F1-Score of 0.0.95

File identifier
8402a9a6-07dd-4456-bd15-d98a879fbfcb XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Hierarchy level name

Dataset

Date stamp
2026-05-07T07:12:42
Metadata standard name

ISO 19115-1:2014/19139

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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