Land cover mapping over large Mediterranean basins using Sentinel-2 imagery and a 1D-ResNet deep learning approach

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Vidal Llamas, Antonio, Barba-Barragás, Diego, Acuña-Alonso, Carolina, Álvarez, Xana
DOI: 10.5281/zenodo.17814293
Cited by: 0

Abstract

The files named 2017_marzo_resnet7c_4indexes.tif and 2025_marzo_resnet7c_4indexes.tif are the output of the 1D-ResNet for 2017 and 2025, while land_use_training_data.csv is the complete source dataset pixel values represent the following classes: Artificial = 0 Agricultural land = 1 Broadleaf = 2 Conifers = 3 Open areas with shrubs and little vegetation = 4 Wetlands = 5 Water bodies = 6

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
30 January 2026