Datasets

DACIA5 – A Sentinel 2-based Multispectral Dataset for Agricultural Crop Identification Applications over Brasov area, Romania

The data set contains all the available images from Sentinel-1 SAR and Sentinel-2 MSI from 2020 to 2024 over a specific area to the north of Brasov city, Romania, together with the 32 x 32 pixel size radar and multi-spectral patches for a crop identification task using a learning model. For the crop identification task, […]

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muDACIA5: Sentinel-2 Brasov area 2020-2024 multi-spectral dataset for crop monitoring and identification

As part of the AI4AGRI project, a new dataset is now available for researchers focusing on crop identification using remote sensing and machine learning techniques. The dataset consists of Sentinel-2 MSI images acquired between 2020 and 2024 over an area north of Brașov, Romania. It is designed to support two specific tasks: The dataset includes:

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