Enhancing Leaf Nitrogen Estimation From Satellite Multispectral Imagery via Hyperspectral Super-Resolution and Structural Correction (opens in new tab)

Leaf nitrogen content (LNC) is a key regulator of photosynthesis and crop (CRO) productivity, and its timely monitoring underpins both precision nitrogen management and large-scale ecosystem assessment. Remote sensing offers nondestructive, spatially explicit monitoring of LNC, but retrieval accuracy is degraded by canopy structural effects and the limited spectral resolution of multispectral (MS) satellite sensors. Here, we develop an integrated framework that combines spectral super-resolut...