Vegetation cover fraction (fCover) and related quantities are basic yet critical vegetation
structure variables in various disciplines and applications. Ground-and aerial-based …

The advent of lidar has revolutionized the way we observe and measure vegetation structure
from the ground and from above and represents a major advance toward the quantification …

Accurately monitoring forest insects and diseases disturbances is important for managing
forests and implementing effective forest quality improvement measures. However …

Nitrogen (N) is one of the most important elements for crop growth and yield formation.
Insufficient or excessive application of N fertilizers can limit crop yield and quality, especially …

Background Fractional vegetation cover (FVC) is an important parameter for evaluating crop-
growth status. Optical remote-sensing techniques combined with the pixel dichotomy model …

The estimation of leaf biochemical constituents is of high interest for the physiological and
ecological applications of remote sensing. The multispectral lidar (MSL) system emerges as …

Background Timely and accurate estimates of canopy chlorophyll (Chl) a and b content are
crucial for crop growth monitoring and agricultural management. Crop canopy reflectance …

Abstract The three-dimensional (3D) plant chlorophyll distribution plays an essential role in
plant physiological and ecological analysis. The hyperspectral LiDAR (HSL) technology, as …

The light absorption coefficient of vegetation is related to the content and composition of
pigments in the plant canopy. It is a useful metric for understanding the spatial and temporal …

Leaf pigments are critical indicators of plant photosynthesis, stress, and physiological
conditions. Inversion of radiative transfer models (RTMs) is a promising method for robustly …