AgroFusion LUCAS photosdoi:10.26165/JUELICH-DATA/YHC03HJülich DATA2026-07-091Celik, Mehmet Furkan; Maurogiovanni, Stefano; Sedona, Rocco; Cavallaro, Gabriele; Marsocci, Valerio; Cartuyvels, Ruben; Yordanov, Momchil; van der Velde, Marijn; Paris, Claudia, 2026, "AgroFusion LUCAS photos", https://doi.org/10.26165/JUELICH-DATA/YHC03H, Jülich DATA, V1AgroFusion LUCAS photosdoi:10.26165/JUELICH-DATA/YHC03HCelik, Mehmet FurkanMaurogiovanni, StefanoSedona, RoccoCavallaro, GabrieleMarsocci, ValerioCartuyvels, RubenYordanov, Momchilvan der Velde, MarijnParis, ClaudiaThe original photographs and field observations were collected by surveyors working under the Eurostat LUCAS 2018 survey framework. The derived dataset files, cleaning, organisation, labels, computational features, and model-ready metadata were generated by the authors of the present dataset release.2018European Union member states covered by the LUCAS surveyJülich DATASedona, RoccoSedona, Rocco2026-05-19Earth and Environmental SciencesThe dataset is organised as a multimodal collection around LUCAS survey points. For each point, the ground photographic bundle is linked to LUCAS tabular metadata and to co-located Earth-observation time series derived from Sentinel-2 and Sentinel-1. Sentinel-2 provides optical multispectral observations, useful for vegetation state, phenology, crop development, bare soil, water, and built-up surfaces; Sentinel-1 provides C-band SAR observations, useful because it is sensitive to structure and moisture and can acquire data under cloud cover and at night. Sentinel-2 carries 13 spectral bands at 10, 20, and 60 m spatial resolution, while Sentinel-1 provides all-weather radar imagery. For each LUCAS point, the dataset therefore contains not only the field photographs, but also temporally ordered satellite observations around the survey year, for example Sentinel-2 reflectance time series and Sentinel-1 backscatter time series extracted over a spatial neighbourhood of the point. These time series provide the seasonal and phenological context that is not visible from a single ground photograph. The accompanying metadata include the LUCAS point identifier, survey year, geographic coordinates, country or administrative information where available, land-cover and land-use labels, photo-view identifiers, and links between the image files and the corresponding LUCAS observation. For the satellite component, metadata should also describe the sensor, acquisition dates, spatial extraction window, coordinate reference system, preprocessing level, cloud or quality masks for Sentinel-2, and relevant SAR acquisition/preprocessing information for Sentinel-1. It combines in-situ field evidence, ground-level visual context, satellite optical and radar time series, and structured metadata for multimodal learning, land-cover classification, validation, cross-modal retrieval, and analysis of complementarity between ground and satellite observations.Data is here: https://datapub.fz-juelich.de/sdlrs/datasets/agrofusion/CC0 WaiverCelik, Mehmet Furkan; Maurogiovanni, Stefano; Sedona, Rocco; Cavallaro, Gabriele; Marsocci, Valerio; Cartuyvels, Ruben; Yordanov, Momchil; van der Velde, Marijn; Paris, Claudia, A Pan-European Multimodal Dataset Linking Field Photos with Satellite Image Time Series for Agricultural Mapping, Nature Scientific Data, 2026agrofusion.sha256Checksum to be used for verification.application/octet-stream