My GeoNetwork catalogue
Tree Species - Sentinel-1/2 - Germany, 2022
The Tree Species Germany product provides a map of dominant tree species across Germany for the year 2022 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, radar data from Sentinel-1, and a digital elevation model. The input features explicitly incorporate phenological information to capture seasonal vegetation dynamics relevant for species discrimination. A total of over 80,000 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 classification was generated using an XGBoost machine learning algorithm. The Tree Species Germany product achieves an overall F1-score of 0.89. For the dominant species pine, spruce, beech, and oak, class-wise F1-scores range from 0.76 to 0.98, while F1-scores for other widespread species such as birch, alder, larch, Douglas fir, and fir range from 0.88 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.
INSPIRE
Identification
- File identifier
- 4f5d5933-250e-493a-9fea-cd1b7c967e6a XML
- Hierarchy level
- Dataset
Online resource
- Protocol
-
WWW:LINK-1.0-http--link
- Protocol
-
OGC:WMS-http-get-capabilities
- Protocol
-
OGC:WMS
- Protocol
-
WWW:LINK-1.0-http--link
- Protocol
-
WWW:LINK-1.0-http--link
Resource identifier
- Metadata language
- English
- Spatial representation type
- Grid
Encoding
- Format
-
GeoTIFF
Projection
Classification of data and services
- Topic category
-
- Biota
Classification of data and services
Coupled resource
Coupled resource
Classification of data and services
Coupled resource
Coupled resource
Keywords
-
GEMET - INSPIRE themes, version 1.0
-
-
Land cover
-
Other keywords
- Keywords
-
-
DLR
-
EOC
-
forest
-
tree species
-
machine learning
-
time-series
-
Sentinel-2
-
Sentinel-1
-
Germany
-
opendata
-
Geographic coverage
))
Temporal reference
Temporal extent
- Begin
- 2021-03-01T00:00:00
- End
- 2023-10-31T23:59:59
Temporal extent
- Date (Creation)
- 2025-07-10T00:00:00
Quality and validity
- Lineage
-
Input data: Sentinel-2, -1, Copernicus GLO-30 DEM
- Denominator
- 20000
Conformity
Conformity
Conformity
Conformity
Conformity
Conformity
- Explanation
-
See the referenced specification.
Restrictions on access and use
- Access constraints
- There are no limitations on public access to spatial data sets and services.
- Access constraints
-
Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by/4.0/ Terms of use: License, https://creativecommons.org/licenses/by/4.0/
- Access 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)"}
Responsible organization (s)
Contact for the resource
- Organisation name
-
German Aerospace Center (DLR)
- Organisation name
-
German Aerospace Center (DLR)
Responsible organization (s)
Contact for the resource
- Organisation name
-
German Aerospace Center (DLR)
- Organisation name
-
German Aerospace Center (DLR)
Metadata information
Contact for the metadata
- Organisation name
-
German Aerospace Center (DLR)
- Date stamp
- 2026-01-08T08:38:20
- Metadata language
- English
- Character set
- UTF8
SDS
Conformance class 1: invocable
Access Point URL
Endpoint URL
Technical specification
Conformance class 2: interoperable
Access constraints
Limitation
Use constraints
Limitation
Responsible custodian
Contact for the resource
Overviews
Spatial extent
Provided by
