Leaf Nitrogen Content Indirectly Estimated by Leaf Traits Derived From the PROSPECT Model

Abstract

Leaf nitrogen content has so far been quantified through empirical techniques using hyperspectral remote sensing. However, it remains a challenge to estimate the nitrogen content in fresh leaves through inversion of physically based models. Leaf nitrogen has been found to correlate with leaf traits (e.g., leaf chlorophyll, dry matter, and water) well… (More)

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@article{Wang2015LeafNC, title={Leaf Nitrogen Content Indirectly Estimated by Leaf Traits Derived From the PROSPECT Model}, author={Zhihui Wang and Andrew K. Skidmore and Roshanak Darvishzadeh and Uta Heiden and Marco Heurich and Tiejun Wang}, journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, year={2015}, volume={8}, pages={3172-3182} }