Quantifying ecosystem carbon fluxes and stocks is essential for better understanding the
global carbon cycle and improving projections of the carbon-climate feedbacks. Remote …

Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …

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 …

On the basis of canopy height variables, vegetation index, texture index, and laser point
cloud index measured with unmanned aerial vehicle (UAV) low altitude remote sensing, we …

The rapid development of light detection and ranging (LiDAR) techniques is advancing
ecological and forest research. During the last decade, numerous single tree segmentation …

Arctic tundra ecosystems are responding to effects of climatic warming via shifts in
vegetation composition and increased woody biomass. In this sensitive ecosystem, minor …

LiDAR individual tree detection (ITD) is a promising tool for measuring forests at a scale that
is meaningful ecologically and useful for forest managers. However, most ITD research …

Canopy cover is an important forest structure parameter for many applications in ecology,
hydrology, and forest management. Light detection and ranging (LiDAR) is a promising tool …

Quantifying forest aboveground biomass (AGB) is essential for elucidating the global carbon
cycle and the response of forest ecosystems to climate change. Over the past five decades …

Canopy cover is a key forest structural parameter that is commonly used in forest inventory,
sustainable forest management and maintaining ecosystem services. Recently, much …