Leaf area index (LAI) is a key parameter of vegetation structure in the fields of agriculture,
forestry, and ecology. Optical indirect methods based on the Beer-Lambert law are widely …

Decision making on forest resources relies on the precise information that is collected using
inventory. There are many different kinds of forest inventory techniques that can be applied …

The last two decades have witnessed increasing awareness of the potential of terrestrial
laser scanning (TLS) in forest applications in both public and commercial sectors, along with …

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

Capturing and quantifying the world in three dimensions (x, y, z) using light detection and
ranging (lidar) technology drives fundamental advances in the Earth and Ecological …

Tropical forest biomass is a crucial component of global carbon emission estimations.
However, calibration and validation of such estimates require accurate and effective …

An open source tool named SimpleTree, capable of modelling highly accurate cylindrical
tree models from terrestrial laser scan point clouds, is presented and evaluated. All …

Plot-scale measurements have been the foundation for forest surveys and reporting for over
200 years. Through recent integration with airborne and satellite remote sensing, manual …

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 …

Global estimates of forest aboveground biomass and carbon storage have major
discrepancies linked to limitations in tree-level biomass estimates. Robust allometric …