- 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)
- 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
- Spatial Extent
- ---
- Projection System
- EPSG:3035
- Extension x0
- 4016026.3630416505
- Extension x1
- 4676026.3630416505
- Extension y0
- 2654919.6079648044
- Extension y1
- 3554919.6079648044
- 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
- Name
- Marcel Schwieder (schwieder)
- marcel.schwieder@thuenen.de
- Position
- None
- Organization
- None
- Location
- Voice
- None
- Fax
- None
- 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
- Name
- Gideon Tetteh (tetteh)
- gideon.tetteh@thuenen.de
- Position
- None
- Organization
- None
- Location
- Voice
- None
- Fax
- None
- Keywords
- ldap