DeepForest AI unlocks hidden forest layers

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...

How light reflects on leaves may help researchers identify dying forests

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

Drones with standard cameras reveal hidden forest layers using AI technology

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...
EurekAlert!

3D modeling reveals how deep drones can “see” into maize canopies

A research team revealed how deeply drone-mounted optical sensors can detect maize canopy layers using UAV hyperspectral data ...
JSTOR Daily

Syncing phenology phase and canopy spectral reflectance of common tree species of four forest covers in India

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.
EurekAlert!

Deep learning meets plant physics to improve non-destructive nitrogen monitoring in crops

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...
JSTOR Daily

Developmental changes in the reflectance spectra of temperate deciduous tree leaves and implications for thermal emissivity and leaf temperature

• 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 ...