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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מידע ביבליוגרפי

Principais autores:	Yaning Kuang, Zifan Li, Lixue Wei, Dong Tang, Yongjian Mai, Huanhuan Yuan, Lei Zheng, Jianming Deng, Jie Peng
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Taylor & Francis Group 2026-01-01
סדרה:	International Journal of Digital Earth
נושאים:	Vegetation phenology solar-induced chlorophyll fluorescence kNDVI NIRv growing season index
גישה מקוונת:	https://www.tandfonline.com/doi/10.1080/17538947.2026.2622137
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