Abstract Purpose of the Review Many LiDAR remote sensing studies over the past decade
promised data fusion as a potential avenue to increase accuracy, spatial-temporal …

Light Detection and Ranging (LiDAR) is a well-established active technology for the direct
acquisition of 3D data. In recent years, the geometric information collected by LiDAR …

Climate change and human activities strongly influence forests, but uncertainties persist
about the pervasiveness of these stressors and how they will shape future forest structure …

Abstract The “Height Variation Hypothesis” is an indirect approach used to estimate forest
biodiversity through remote sensing data, stating that greater tree height heterogeneity (HH) …

ABSTRACT The Global Ecosystem Dynamics Investigation (GEDI), a new spaceborne
LiDAR system of the National Aeronautics and Space Administration (NASA), has the …

Spatially explicit data on forest canopy fuel parameters provide critical information for
wildfire propagation modelling, emission estimations and risk assessment. LiDAR …

Investigating the quantity of forest aboveground biomass (AGB) is crucial for understanding
the role forests play in the global carbon cycle. The canopy height model (CHM) is a critical …

ABSTRACT The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) provides an
extraordinary opportunity to support global large-scale forest carbon map**, but further …

LiDAR technology has been widely used to characterize structural parameters of forest
ecosystems, which in turn are valuable information for forest monitoring. GEDI is a …

To better understand forest carbon budgets and design forest-based climate change
mitigation solutions, reliable biomass estimation is critical. Integrating multi-sensor remote …