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Author

Rocco Sedona

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#artificial intelligence Review Open access Sep 2026

A Pan-European Multimodal Dataset Linking Field Photos with Satellite Image Time Series for Agricultural Mapping

AgroFusion is a continental-scale, multimodal, pixel-based reference dataset designed to support rigorous evaluation and reproducible research in agricultural remote sensing and geospatial Artificial Intelligence (AI). Built upon the 2018 and 2022 Land Use/Cover Area frame statistical Survey (LUCAS), the dataset i...

M. F. Celik, Stefano Maurogiovanni, Rocco Sedona et al. · 0 citations
Open access 2026

Beyond Pixels: Identifying Built-Up Features at Subpixel Level for Enhanced Satellite-Based Land Cover Mapping

Identifying buildings and urban/built-up features has become increasingly important as cities grow more complex and traditional pixel-based classification methods struggle with mixed-land-cover signatures. Despite their high spatial resolution and rich multispectral capabilities, openly available datasets, such as Sent...

Surbhi Sharma, Rocco Sedona, Morris Riedel et al. · 0 citations

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