Paper record
UAV multispectral to hyperspectral reconstruction based on deep learning and radiative transfer models for crop nitrogen monitoring
International Journal of Applied Earth Observation and Geoinformation · 1 Jun 2026 · 10.1016/j.jag.2026.105364
Abstract
• Proposed a multispectral to hyperspectral reconstruction framework M2H–SWIR. • The M2H–SWIR framework integrates the PROSAIL and deep learning. • M2H–SWIR reconstructs VNIR multispectral to full-range hyperspectral (400–2500 nm) • Reconstructed SWIR bands enhance UAV-based canopy nitrogen mapping accuracy. • M2H–SWIR outperforms traditional PROSAIL inversion for canopy nitrogen estimation.
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