TY  - GEN 
AU  - Rodriguez Ortega, José
AU  - Tabik, Siham
AU  - Benhammou, Yassir
AU  - Khaldi, Rohaifa
AU  - Alcaraz-Segura, Domingo
PY  - 2025
UR  - https://hdl.handle.net/10481/105557
AB  - Governmental institutions provide regional Land Use Land Cover (LULC) maps,1 but their complex formats, varied resolutions and diverse annotations limit usability. Traditionally, LULC mapping is framed as multiclass classification (assigning one...
LA  - eng
PB  - Elsevier
KW  - Land use and land cover mapping
KW  - Sentinel-2
KW  - RGB images
KW  - Deep learning
KW  - Convolutional neural networks
KW  - Multi-input model
TI  - Land use and land cover fraction estimation for Sentinel-2 RGB images: A new LULC mapping task
DO  - https://doi.org/10.1016/j.rsase.2025.101626
ER  -