Comparative Global Assessment and Optimization of LandTrendr, CCDC, and BFAST Algorithms for Enhanced Urban Land Cover Change Detection Using Landsat Time Series
The rapid expansion of urban areas necessitates effective monitoring systems for sustainable development planning. Time-series change detection algorithms applied to satellite imagery offer promising solutions, but their comparative effectiveness specifically for urban land cover monitoring remains...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2025-07-01
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| Серии: | Remote Sensing |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/2072-4292/17/14/2402 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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