Identification

Title
Grassland mowing detection 2018 (vector)
Abstract

The dataset contains maps of grassland mowing activity in Germany, which have been produced annually at the Thünen Institute since 2017 on the basis of satellite data. The maps cover the entire grassland area, i.e. permanent grassland, potentially permanent grassland (e.g. fodder crops) and other extensive areas. The map was derived from dense time series of Sentinel-1, Sentinel-2, Landsat 8 and additional environmental data. Map production is based on the methods described in Schwieder et al. (2022).

The dataset includes two layers: (1) the number of detected mowing events, (2) the day of year (DOY) of the first detected mowing event. DOYs of all other detected mowing events together with ancillary data layers are available on request.

The map extent covers all areas in Germany that are defined as permanent grassland, cultivated grassland or fallow land according to the maps of agricultural land use that are available here. Post-processing of the maps included a sieve filter as well as a ruleset for the reduction of non-plausible areas using the Basis-DLM. The final post-processing step comprises the aggregation of the gridded data to homogeneous objects (fields) based on the approach that is described in Tetteh et al. (2021).

Data are available on request either in gridded (raster) format or in aggregated (vector) format. For metadata details please see the specifications below.

License
Not Specified
+ The original author did not specify a license.

Publication Date
May 17, 2023, 12:56 p.m.
Type
Vector Data
Keywords
Category
Farming
Rearing of animals and/or cultivation of plants. Examples: agriculture, irrigation, aquaculture, plantations, herding, pests and diseases affecting crops and livestock.
Regions
Germany
Approved
Yes
Published
Yes
Featured
No
Group
Fernerkundungsatlas
DOI
None
Attribution
None
Responsible

Name
Marcel Schwieder (schwieder)
email
marcel.schwieder@thuenen.de
Position
None
Organization
None
Location
Voice
None
Fax
None
Keywords
ldap
Information

Identification Image
Spatial Extent
---
Projection System
EPSG:3035
Extension x0
4031333.75
Extension x1
4672522.5
Extension y0
2684094.75
Extension y1
3550196.0
Features

Restrictions
otherRestrictions
Language
English
Supplemental Information

Creation of raster maps:

Schwieder M, Wesemeyer M, Frantz D, Pfoch K, Erasmi S, Pickert J, Nendel C, Hostert P (2022) Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series. REMOTE SENSING OF ENVIRONMENT 269:112795. doi: 10.1016/j.rse.2021.112795

Creation of field segments:

Tetteh GO, Gocht A, Erasmi S, Schwieder M, Conrad C (2021) Evaluation of Sentinel-1 and Sentinel-2 Feature Sets for Delineating Agricultural Fields in Heterogeneous Landscapes. IEEE Access 9:116702-116719. doi: 10.1109/ACCESS.2021.3105903

Spatial Representation Type
vector data is used to represent geographic data
Contact Points

Name
Marcel Schwieder (schwieder)
email
marcel.schwieder@thuenen.de
Position
None
Organization
None
Location
Voice
None
Fax
None

References

Link Online
/layers/ctm_ger_2017to2021_lsm_v201:geonode:GLU_GER_2018_seg_sum_doy1_v201_PGL_CGL_FAL
Metadata Page
/layers/ctm_ger_2017to2021_lsm_v201:geonode:GLU_GER_2018_seg_sum_doy1_v201_PGL_CGL_FAL/metadata_detail

OGC WMS: geonode Service
Geoservice OGC:WMS
OGC WFS: geonode Service
Geoservice OGC:WFS
Metadata Author

Name
Stefan Erasmi (erasmi)
email
stefan.erasmi@thuenen.de
Position
None
Organization
Thünen-Institut für Betriebswirtschaft
Location
38116 Braunschweig DEU
Voice
None
Fax
None
Keywords
ldap