×

Wartungsfenster

Feb. 28, 2024, 11:43 a.m.

Dieser Dienst wird Dienstag, 05.03.2024, von 18:00 - 21:30 Uhr gewartet und voraussichtlich nicht erreichbar sein.
Title
Grassland mowing detection 2021 (raster)
License
Creative Commons Attibution 4.0 International (CC BY 4.0)
+ This license lets others distribute, remix, adapt, and build upon your work, even commercially, as long as they credit you for the original creation. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.

+ For more info see https://creativecommons.org/licenses/by/4.0/.
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.

Data can be downloaded or directly accessed at Zenodo via https://zenodo.org/doi/10.5281/zenodo.10609589

Publication Date
Type
Raster 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
Responsible
Group
Fernerkundungsatlas
DOI
10.5281/zenodo.10609589
Attribution
Schwieder, Marcel; Tetteh, Gideon; Lobert, Felix; Erasmi, Stefan: National-scale grassland mowing maps for Germany from Sentinel-2 and Landsat 8 data (2017 to 2021)
Maintenance Frequency
there are no plans to update the data
Restrictions
otherRestrictions
Edition
v1
Language
English
Supplemental Information

No information provided

Spatial Representation Type
grid data is used to represent geographic data
Attribute Name Label Description
GRAY_INDEX
Band2