Crop Types 2017 - Present (raster 10 m), Europe, yearly, Nov. 2024
The High Resolution Layer Crop Types (CTY) raster product provides high resolution crop type classification for 17 classes of both arable and permanent crops accross the EEA38 extent. Using both Sentinel-1 and Sentiel-2, the model is finetuned to first map the crop field boundaries, and then determine the main crop for each field. This dataset is provided annually starting in 2017 with 10 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Croplands product is part of the European Union’s Copernicus Land Monitoring Service. Confidence layer available for the dataset.This dataset includes data from the French Overseas Territories (DOMs).
Default
IdentificationAbout this resource
- Alternate Identifier
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4c3f4253-e906-409c-8bcd-91ee269c56f7
- Publication Date
- 2024-12-01
- Title
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Crop Types 2017 - Present (raster 10 m), Europe, yearly, Nov. 2024
- Short Name
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Crop Types 2017 - Present (raster 10 m)
- Abstract
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The High Resolution Layer Crop Types (CTY) raster product provides high resolution crop type classification for 17 classes of both arable and permanent crops accross the EEA38 extent. Using both Sentinel-1 and Sentiel-2, the model is finetuned to first map the crop field boundaries, and then determine the main crop for each field. This dataset is provided annually starting in 2017 with 10 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Croplands product is part of the European Union’s Copernicus Land Monitoring Service. Confidence layer available for the dataset.This dataset includes data from the French Overseas Territories (DOMs).
- Dataset Language
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English
- Dataset Creator
- Metadata Provider
- Dataset Contact
- Dataset Contact
- Dataset Contact
- Keywords (GEMET - INSPIRE themes, version 1.0)
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Land use
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Land cover
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- Keywords (Continents, countries, sea regions of the world)
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EEA38 (from 2020)
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- Keywords (GEMET)
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Crop production
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- Keywords (Spatial scope)
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European
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- Keywords (EEA topics)
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Land use
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Agriculture and food
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- Keywords (EEA Manamgent Plan)
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2024 6.5.24
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Geographic Coverage
- Geographic Description
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Europe
Bounding Box
- West Bounding Coordinate
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-31.28
- East Bounding Coordinate
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44.81
- North Bounding Coordinate
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71.16
- South Bounding Coordinate
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27.64
Bounding Altitudes
- Minimum
- Maximum
- Unit
Geographic Coverage
- Geographic Description
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Europe
Bounding Box
- West Bounding Coordinate
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-54.62
- East Bounding Coordinate
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-51.61
- North Bounding Coordinate
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5.77
- South Bounding Coordinate
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2.11
Bounding Altitudes
- Minimum
- Maximum
- Unit
Geographic Coverage
- Geographic Description
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Europe
Bounding Box
- West Bounding Coordinate
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-61.82
- East Bounding Coordinate
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-60.99
- North Bounding Coordinate
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16.52
- South Bounding Coordinate
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15.82
Bounding Altitudes
- Minimum
- Maximum
- Unit
Geographic Coverage
- Geographic Description
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Europe
Bounding Box
- West Bounding Coordinate
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-61.24
- East Bounding Coordinate
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-60.79
- North Bounding Coordinate
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14.88
- South Bounding Coordinate
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14.38
Bounding Altitudes
- Minimum
- Maximum
- Unit
Geographic Coverage
- Geographic Description
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Europe
Bounding Box
- West Bounding Coordinate
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55.21
- East Bounding Coordinate
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55.84
- North Bounding Coordinate
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-20.87
- South Bounding Coordinate
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-21.39
Bounding Altitudes
- Minimum
- Maximum
- Unit
Geographic Coverage
- Geographic Description
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Europe
Bounding Box
- West Bounding Coordinate
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44.94
- East Bounding Coordinate
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45.31
- North Bounding Coordinate
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-12.58
- South Bounding Coordinate
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-13.08
Bounding Altitudes
- Minimum
- Maximum
- Unit
Temporal Coverage
Range of Dates
- Begin Date
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2017-01-01
- End Date
resourceLicensesLicense Information
- Intellectual Rights
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The Copernicus component is governed by Regulation (EU) No 2021/696 of the European Parliament and of the Council of 28 April 2021 establishing the Union Space Programme and the European Union Agency for the Space Programme and repealing Regulations (EU) No 912/2010, (EU) No 1285/2013 and (EU) No 377/2014 and Decision No 541/2014/EU. Within the Copernicus component, a portfolio of land monitoring activities has been delegated by the European Union to the European Environment Agency (EEA) and the DG Joint Research Centre of the European Commission.
Resource License
- License Name
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No limitations to public access
- Acknowledgements
Distribution
Online
- A brief description of the the content of online URL.
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WEkEO Portal
Distribution
Online
- A brief description of the the content of online URL.
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CLMS_HRL_CropTypes_S2017_R10m
Distribution
Online
- A brief description of the the content of online URL.
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CLMS_HRL_CropTypes_S2018_R10m
Distribution
Online
- A brief description of the the content of online URL.
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CLMS_HRL_CropTypes_S2019_R10m
Distribution
Online
- A brief description of the the content of online URL.
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CLMS_HRL_CropTypes_S2020_R10m
Distribution
Online
- A brief description of the the content of online URL.
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CLMS_HRL_CropTypes_S2021_R10m
Distribution
Online
- A brief description of the the content of online URL.
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EEA geospatial data catalogue
Distribution
Online
- A brief description of the the content of online URL.
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Product Information and Technical Documentation
Project
• Project
- Title
- Abstract
Personnel
- Organization Name
Individual Name
- Given Name
- Surname
- Position Name
Methods
• Method
Method Step
- Description
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The HRL Crop Types (CTY) have been trained using a temporal transformer-based neural networks on Sentinel-1 and Sentinel-2 time-series, Copernicus DEM and meteo data for all reference years. The model was trained on an extensive in-situ dataset of more than one million samples compiled from LPIS and LUCAS datasets. Post-classification processing steps include spatial (Mimimum Mapping Unit: 0.25ha) and temporal filtering to assure a high consistency of the time series. Thematic target accuracy: 80% producer and user accuracy. The HRL Crop Types is a new dataset in the CLMS portfolio, starting its timeseries with annual updates from reference year 2017. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: completeness, logical consistency, thematic accuracy, temporal quality and usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.
- Citation
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Copernicus Land Monitoring Service (2024).Crop Types 2017 - Present (raster 10m), Europe, yearly, Nov. 2024. European Environment Agency https://doi.org/10.2909/9db29b07-5968-4ce0-8351-1e356b3d7d47.
Software
- Title
- Version
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1.0
Data Tables
• Data Table
- Name
Physical
Data Format
Externally Defined Format
- Format Name
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GeoTIFF
