Identification

Title
Agricultural land use 2021 (raster)
Abstract

The dataset contains maps of the main classes of agricultural land use (dominant crop types and other land use types) in Germany, which have been produced annually at the Thünen Institute beginning with the year 2017 on the basis of satellite data. The maps cover the entire open landscape, i.e. the agriculturally used area (UAA) and e.g. uncultivated 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 Blickensdörfer et al. (2022).

The map extent covers all areas in Germany that are defined as agricultural land, small woody features, heathland or peatland according to ATKIS Basis-DLM 2020 (Geobasisdaten: © GeoBasis-DE / BKG (2020)). 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://doi.org/10.5281/zenodo.10617623

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/.
Publication Date
May 4, 2023, 7 a.m.
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
Approved
Yes
Published
Yes
Featured
No
Group
Fernerkundungsatlas
DOI
10.5281/zenodo.10617623
Attribution
Schwieder, Marcel; Tetteh, Gideon; Blickensdörfer, Lukas; Gocht, Alexander, Erasmi, Stefan: National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data (2017 to 2021)
Responsible

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
Information

Identification Image
Spatial Extent
---
Projection System
EPSG:3035
Extension x0
4016026.3630416505
Extension x1
4676026.3630416505
Extension y0
2654919.6079648044
Extension y1
3554919.6079648044
Features

Maintenance Frequency
there are no plans to update the data
Restrictions
otherRestrictions
Edition
Version 2.01
Purpose

The data provide the basis for the Thünen Earth Observation Atlas.

Language
English
Supplemental Information

Creation of raster maps:

Blickensdörfer L, Schwieder M, Pflugmacher D, Nendel C, Erasmi S, Hostert P (2022) Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany. REMOTE SENSING OF ENVIRONMENT 269:112831.  doi: 10.1016/j.rse.2021.112831

Spatial Representation Type
grid 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_2021_rst_v201:geonode:CTM_GER_2021_rst_v201
Metadata Page
/layers/CTM_GER_2021_rst_v201:geonode:CTM_GER_2021_rst_v201/metadata_detail

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

Name
Gideon Tetteh (tetteh)
email
gideon.tetteh@thuenen.de
Position
None
Organization
None
Location
Voice
None
Fax
None
Keywords
ldap