GrassLands - Mowing Frequency - Yearly, 10m

Grassland mowing dynamics (i.e. the timing and frequency of mowing events) have a strong impact on grassland functions and yields. As grasslands in Germany are managed on small-scale units and grass grows back quickly, satellite information with high spatial and temporal resolution is necessary to capture grassland mowing dynamics. Based on Sentinel-2 data time series, mowing events are detected throughout Germany and annual maps of the grassland mowing frequency generated. The grassland mowing detection approach operates per pixel, including preprocessing of the Enhanced Vegetation Index (EVI) time series and a calibrated rule-based grassland mowing detection which is specified in more detail in Reinermann et al. 2022, 2023.

Identification

Data identification

Citation

Date (Creation)
2025-04-15
Citation identifier
https://geoservice.dlr.de/catalogue/srv/metadata/242a4f00-c6bf-4d53-a2ec-fd20a2895b7b
Presentation form
Digital map
Purpose

Information on grassland mowing frequency, i.e. the number of mowing events per year, are meaningful for scientific analyses of grassland ecosystem services, including yields, biodiversity, nutrient storage and fluxes (e.g. N, C), erosion and water quality. In addition, the mowing frequency reflects the use intensity and can be of interest for authorities and the general public.
Status
ongoing
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 use
Spatial scope
Keywords

  • DLR

  • EOC

  • Germany

  • Agriculture

  • Mowing

  • Cutting

  • meadow

  • grassland management

  • Sentinel-2

  • 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.

Legal constraints

Access constraints
Other restrictions
Other constraints
Es gelten keine Zugriffsbeschränkungen

Legal constraints

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 Namensnennung - 4.0 International (CC BY 4.0)",

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

"quelle": "Copyright DLR (year of production)"}
Spatial representation type
Grid
Denominator
20000
Language
English
Character set
UTF8
Topic category
  • Farming

Extent

N
S
E
W
thumbnail


Begin date
2018-01-01T00:00:00Z
 

Distribution

Distribution

Distribution format
  • GeoTIFF ()

Digital transfer options

OnLine resource
GL_MOW_DE_P1Y_FREQ ( OGC:WMS )

EOC Land Map Service

OnLine resource
EOC Geoservice Dataset ( WWW:LINK-1.0-http--link )
OnLine resource
HTTP Download Service ( WWW:LINK-1.0-http--link )
OnLine resource
EOC STAC Collection ( WWW:LINK-1.0-http--link )
 

Quality

Data quality

Hierarchy level
Series

Domain consistency

Measure identification
INSPIRE / Conformity_001

Conformance result

Citation

Date (Publication)
2010-12-08
Explanation

See the referenced specification.
Pass
Yes

Lineage

Statement

All available Sentinel-2 data of the respective year for the whole of Germany are used.
Description

Processing: Sentinel-2 Enhanced Vegetation Index time series are cleaned, filled and smoothed per pixel. Afterwards the calibrated rule-based mowing detection approach is applied. The data is masked with the Copernicus High Resolution Grassland Layer 2018.

Quality Assurance: The mowing dates are validated using an independent dataset (compare Reinermann et al. 2022, 2023) and checked for plausibility.
 

Spatial rep.

Grid spatial representation

Number of dimensions
2

Dimension

Dimension name
Column
Dimension size
95000
Resolution
10  m

Dimension

Dimension name
Row
Dimension size
92967
Resolution
10  m
Cell geometry
Area
Transformation parameter availability
No
 

Ref. system

Unique resource identifier
EPSG:4326
 

Metadata

Metadata

File identifier
242a4f00-c6bf-4d53-a2ec-fd20a2895b7b XML
Metadata language
English
Character set
UTF8
Hierarchy level
Series
Hierarchy level name

Dataseries
Date stamp
2025-04-15T09:41:48
Metadata standard name

ISO 19115-1:2014/19139
Metadata standard version

2003/Cor.1:2006
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 use

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Access to the portal

Associated resources

Not available