Point clouds acquired through laser scanning and stereo vision techniques have been
applied in a wide range of applications, proving to be optimal sources for mapping 3D urban …

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 …

Leaf area index (LAI) is an important vegetation parameter. Active light detection and
ranging (LiDAR) technology has been widely used to estimate vegetation LAI. In this study …

Topographic laser scanning is a remote sensing method to create detailed 3D point cloud
representations of the Earth's surface. Since data acquisition is expensive, simulations can …

Aboveground biomass (AGB), as a crucial indicator of forest growth and quality, plays an
important role in monitoring the global carbon cycle and forest health. Rapid, accurate, and …

Leaf chlorophyll plays an important role in forest management and ecosystem balance.
Hyperspectral images have been widely applied in leaf chlorophyll content (LCC) …

The leaf area index (LAI) is an essential input parameter for quantitatively studying the
energy and mass balance in soil-vegetation-atmosphere transfer systems. As an active …

The primary objective of this study was to assess the potential effect of integrated weed
management (IWM) on canopy structure and growth in a young almond orchard using …

Airborne laser scanning data are increasingly used to predict forest biomass over large
areas. Biomass information cannot be derived directly from airborne laser scanning data; …

Abstract Accurate estimation of Leaf Area Index (LAI) is pivotal for understanding vegetation
dynamics and ecosystem productivity. Light Detection and Ranging (LiDAR), with its …