2026-04-20T18:07:30Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/105512025-07-24T11:00:47Zcom_10259_2604col_10259_5684
S4A-CyL: A Sentinel-2 Time Series Dataset for Deep Learning in Agriculture (2020-2024)
Pascual García, Rodrigo
Diez Pastor, José Francisco
Latorre Carmona, Pedro
Pérez Núñez, Pablo
Camps-Valls, Gustau
Aroca Fernández, José Manuel
Deep learning
Sentinel-2
Time series
Agriculture
Crop type classification
Castilla y León, Spain
Land parcel
Earth Observation
Remote sensing
SIGPAC
This dataset, "S4A-CyL," provides a comprehensive, multi-annual (2020-2024) collection of analysis-ready data patches for the Castilla y León region in Spain. It is specifically designed to support the development and validation of deep learning models for agricultural applications, with a primary focus on crop type classification.
The dataset integrates dense Sentinel-2 L2A time series with meticulously processed agricultural parcel geometries and harmonized crop type labels derived from the Spanish Land Parcel Identification System (SIGPAC). A key feature is the implementation of a persistent parcel identification system, ensuring the temporal traceability of agricultural plots across the five-year period.
The data is structured in a format inspired by the Sen4AgriNet project, with individual NetCDF files for each spatial patch. Each patch is a self-contained unit that includes the multi-spectral Sentinel-2 time series alongside the corresponding parcel ID and crop type reference layers.
2025-06-12T12:14:29Z
2025-06-12T12:14:29Z
2025-06-12T12:14:29Z
2025-06-12
dataset
https://hdl.handle.net/10259/10551
10.71486/q4yz-p373
https://ss3.scayle.es:443/riubu-1/Admirable-2025/S4A-CyL_Dataset_2020-2024.zip
eng
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/TED2021-131638B-I00/ES/Uso de imágenes SENTINEL para la monitorización de prácticas agrícolas y su contribución a la iniciativa "4 por 1000 de incremento de carbono orgánico en el suelo/SEN4CFARMING/
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
Atribución 4.0 Internacional
north=41.66667; west=-4.25; name=Castilla y León, Spain
start=2020-01-01; end=2024-12-31
Universidad de Burgos