- Title
- Grassland mowing detection 2017 (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, 9:31 a.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
- Name
- Marcel Schwieder (schwieder)
- marcel.schwieder@thuenen.de
- Position
- None
- Organization
- None
- Location
- Voice
- None
- Fax
- None
- Keywords
- ldap
- Spatial Extent
- ---
- Projection System
- EPSG:3035
- Extension x0
- 4031364.5
- Extension x1
- 4672483.5
- Extension y0
- 2684094.75
- Extension y1
- 3549406.0
- Restrictions
- otherRestrictions
- Language
- English
- Supplemental Information
No information provided
- Spatial Representation Type
- vector data is used to represent geographic data
- Name
- Marcel Schwieder (schwieder)
- marcel.schwieder@thuenen.de
- Position
- None
- Organization
- None
- Location
- Voice
- None
- Fax
- None
- Link Online
- /layers/ctm_ger_2017to2021_lsm_v201:geonode:GLU_GER_2017_seg_sum_doy1_v201_PGL_CGL_FAL
- Metadata Page
- /layers/ctm_ger_2017to2021_lsm_v201:geonode:GLU_GER_2017_seg_sum_doy1_v201_PGL_CGL_FAL/metadata_detail
- OGC WMS: geonode Service
- Geoservice OGC:WMS
- OGC WFS: geonode Service
- Geoservice OGC:WFS
- Name
- Stefan Erasmi (erasmi)
- stefan.erasmi@thuenen.de
- Position
- None
- Organization
- Thünen-Institut für Betriebswirtschaft
- Location
- 38116 Braunschweig DEU
- Voice
- None
- Fax
- None
- Keywords
- ldap