An interpretable LAI time series prediction model of subtropic forests using a ConvLSTM coupling spatiotemporal attention mechanism model

Leaf Area Index (LAI) is a critical biophysical parameter for understanding vegetation dynamics and carbon cycling, yet achieving high-precision LAI prediction in structurally complex forest environments remains a significant scientific challenge. This study proposes an interpretable ConvLSTM model...

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Bibliografiset tiedot

Päätekijät:	Li Chen, Xuejian Li, Huaqiang Du, Fangjie Mao, Hongyu Zhu, Jie Xuan, Yinyin Zhao, Zihao Huang, Kehan Mo, Yuanqing Zheng
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2025-12-01
Sarja:	Ecological Indicators
Aiheet:	Forest LAI ConvLSTM Spatiotemporal attention mechanism SHAP
Linkit:	http://www.sciencedirect.com/science/article/pii/S1470160X2501369X
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