Light detection and ranging (lidar) is currently the state-of-the-art remote sensing
technology for measuring the 3D structures of forests. Studies have shown that various lidar-derived …

Forest aboveground biomass is a key variable in remote sensing based forest monitoring.
Active sensor systems, such as lidar, can generate detailed canopy height products. …

NASA’s Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full
waveform lidar data with a primary science goal of producing accurate estimates of forest …

The estimation of forest biomass by remote sensing is constrained by different uncertainties.
An important source of uncertainty is the border effect, as tree crowns are not constrained by …

Allometric equations for calculation of tree above‐ground biomass (AGB) form the basis for
estimates of forest carbon storage and exchange with the atmosphere. While standard …

Forests worldwide are threatened by various environmental and anthropogenic hazards,
especially tropical forests. Knowledge on the impacts of these hazards on forest structure and …

Global environmental change necessitates increased predictive capacity; for forests, recent
advances in technology provide the response to this challenge. “Next‐generation” remote‐…

Forests provide important ecosystem services such as carbon sequestration. Forest landscapes
are intrinsically heterogeneous—a problem for biomass and productivity assessment …

Individual tree segmentation from airborne laser scanning data is a longstanding and important
challenge in forest remote sensing. Tree segmentation algorithms are widely available, …

Tropical forests play an important role in the global carbon cycle. High-resolution remote
sensing techniques, eg, spaceborne lidar, can measure complex tropical forest structures, but it …