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- Document type:
- Forschungsdaten
- Publication date:
- 05.07.2021
- Responsible:
- Schneider, Maja
- Authors:
- Schneider, Maja ; Körner, Marco
- Author affiliation:
- TUM
- Publisher:
- TUM
- Title:
- TinyEuroCrops
- Identifier:
- doi:10.14459/2021mp1615987
- End date of data production:
- 15.06.2021
- Subject area:
- DAT Datenverarbeitung, Informatik; GEO Geowissenschaften; LAN Landbauwissenschaft; UMW Umweltwissenschaften
- Resource type:
- Experimente und Beobachtungen / experiments and observations; Statistik und Referenzdaten / statistics and reference data
- Other resource types:
- Satellite Data, Reference Data from European Authorities
- Data type:
- Tabellen / tables
- Other data type:
- GeoJSON, CSV, HDF5
- Description:
- TinyEuroCrops is part of a dataset for automatic vegetation classification from multi-spectral and multi-temporal satellite data, annotated with official LIPS (Land Parcel Identification System) reporting data from countries of the European Union
- Method of data assessment:
- Curating reference data for crop classes from agencies and authorities, collected the reflectance values for the crop parcels from Sentiel-2 satellite images and processed them to be time series of one representative pixel.
- Links:
This dataset is related to the publication https://arxiv.org/abs/2106.08151
www.eurocrops.tum.de
doi:10.2760/125905- Key words:
- big data, crops, analysis ready data, machine learning, Earth observation
- Technical remarks:
- View and download (4 GB total, 46 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1615987):
rsync rsync://m1615987@dataserv.ub.tum.de/m1615987/ - Language:
- en
- Rights:
- by, http://creativecommons.org/licenses/by/4.0
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