Unsupervised surface water mapping with airborne LiDAR data by leveraging physical properties of water
Comprehensive mapping of surface water, especially smaller bodies of water (<1 ha), remains challenging due to the lack of robust and scalable extraction methods. Traditional methods require the use of either training procedures or the repetitive tuning of site-specific parameters, which present hur...
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| Главные авторы: | , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Taylor & Francis Group
2025-12-01
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| Серии: | GIScience & Remote Sensing |
| Предметы: | |
| Online-ссылка: | https://www.tandfonline.com/doi/10.1080/15481603.2024.2437252 |
| Метки: |
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