Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and multispectral photography. While radar and LiDAR penetrate canopies to reveal ...

Early detection of declining forest health is critical for the timely intervention and treatment of droughted and diseased ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.

Variability in the leaf phenology of tropical trees impacts their growth. How phenology of tree species responds over rainfall gradient is relevant to study in the light of current climatic changes.

• Leaf optical properties impact leaf energy balance and thus leaf temperature. The effect of leaf development on mid-infrared (MIR) reflectance, and hence thermal emissivity, has not been ...

One of the most popular techniques for material identification is single bounce ATR spectroscopy. However, in some cases, the specular reflectance sampling technique may still be necessary. Much like ...

Researchers developed a solar collector with a dielectric Bragg mirror, optimizing energy conversion by separating sunlight ...