A Physics-Informed Spatiotemporal Deep Learning Algorithm for High-Resolution Leaf Area Index Retrieval

High-resolution leaf area index (LAI) retrieval is crucial for ecological and agricultural applications, yet it remains challenging due to the enhanced spatial heterogeneity and limited temporal observations of high-resolution imagery. Although combining physics-based models with deep learning algor...

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Autors principals:	Dechao Zhai, Wenjie Fan, Huazhong Ren, Yaokui Cui, Zhaoyuan Yao, Naijie Peng, Qunchao He, Zhicheng Huang, Jiazheng Li, Zhenrong Liu
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Matèries:	Hybrid model Landsat leaf area index (LAI) ResNet-ConvLSTM-Attention spatiotemporal deep learning network unified bidirectional reflectance distribution function (BRDF) model
Accés en línia:	https://ieeexplore.ieee.org/document/11414073/
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