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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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer
2026-07-01
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| Серии: | Discover Geoscience |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/s44288-026-00605-3 |
| Метки: |
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