Uncertainties in supervised or unsupervised classification using sentinel-2 imagery for land use detection in the semi-arid region

Abstract Riyadh, the capital of Saudi Arabia, is currently undergoing one of the most rapid periods of urbanization and growth in the Gulf region. An accurate assessment of Land Use/Land Cover (LULC) mapping faces significant challenges in a unique semi-arid environment. Traditional pixel-based remo...

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Principais autores:	Shahadat Baser, Muhammad Bilal, Ardiansyah Koeshidayatullah
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Springer 2026-07-01
coleção:	Discover Geoscience
Assuntos:	Supervised classification Unsupervised classification LULC Sentinel 2 Arid and Semi-arid region Saudi Arabia
Acesso em linha:	https://doi.org/10.1007/s44288-026-00605-3
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