Improving photosynthetic phenology detection by incorporating vegetation index with meteorological factors

Accurate detection of vegetation photosynthetic phenology is crucial for understanding terrestrial ecosystem dynamics and improving carbon cycle modeling. However, traditional vegetation indices (VIs) often overestimate the growing season length due to the mismatch between canopy greenness and photo...

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Библиографические подробности

Главные авторы:	Yaning Kuang, Zifan Li, Lixue Wei, Dong Tang, Yongjian Mai, Huanhuan Yuan, Lei Zheng, Jianming Deng, Jie Peng
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Taylor & Francis Group 2026-01-01
Серии:	International Journal of Digital Earth
Предметы:	Vegetation phenology solar-induced chlorophyll fluorescence kNDVI NIRv growing season index
Online-ссылка:	https://www.tandfonline.com/doi/10.1080/17538947.2026.2622137
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