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Multi-source remote sensing of banana LAI across full growth cycle using canopy spectral-morphological features and temporal Transformer-LSTM
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DOI：10.1016/j.compag.2026.111870.png)
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Abstract
En 中文
• A novel Regional Volume improves LAI estimation by excluding the under-canopy space. • The Transformer-LSTM model captures full-cycle banana LAI dynamics across growth stages. • Multi-source feature combinations achieves superior LAI estimation accuracy over single-feature. • The proposed framework maintains robust LAI estimation performance across all growth stages.
Keywords:
Banana LAI
Remote sensing
Transformer-LSTM
Canopy features
Growth cycle
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8.9
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9.9K
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4.8W
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