Spectral measurements capable of estimating nutrient content of forest tree leaves.

A recent study published in the Journal of Remote Sensing suggests that the nutrient content of forest tree leaves can be estimated through spectral measurements. This method offers a faster and larger-scale approach to assessing forest health compared to traditional methods, which are expensive and time-consuming. By analyzing reflected light across a wide range of wavelengths, researchers were able to accurately determine the concentrations of various nutrients in leaves. The study also found that considering soil type and tree genus can further improve the accuracy of nutrient predictions. The researchers hope that this new technique can be applied to inform forest management decisions in other hardwood forests. [Extracted from the article]