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.

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

National

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.

Access constraints: Other restrictions

Other constraints: Es gelten keine Zugriffsbeschränkungen

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

Begin date: 2018-01-01T00:00:00Z

Unique resource identifier: EPSG:4326

Number of dimensions: 2

Dimension name: Column

Dimension size: 95000

Resolution: 10 m

Dimension name: Row

Dimension size: 92967

Resolution: 10 m

Cell geometry: Area

Transformation parameter availability: No

Distribution format

GeoTIFF ()

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 )

Hierarchy level: Series

Domain consistency

Measure identification: INSPIRE / Conformity_001

Conformance result

Date (Publication): 2010-12-08

Explanation: See the referenced specification.

Pass: Yes

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.