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 …

The forest canopy height is a key indicator for measuring global forest carbon stocks.
Spaceborne LiDAR, a satellite remote sensing technology, plays an essential role in large …

The information from the components obtained by waveform decomposition is usually used
to inverse topography, and classify tree species, etc. Many efforts on waveform …

Aboveground biomass (AGB) is an important indicator for grassland ecosystem assessment,
management and utilization. Remote sensing technologies have driven the development of …

Accurate canopy structure datasets, including canopy height and fractional cover, are
required to monitor aboveground biomass as well as to provide validation data for satellite …

The success of remote sensing approaches to assess tree species diversity in a
heterogeneously mixed forest stand depends on the availability of both appropriate data and …

3D-imaging technologies provide measurements of terrestrial and aquatic ecosystems'
structure, key for biodiversity studies. However, the practical use of these observations …

The effect of terrain slope on large footprint lidar waveforms is still a great challenge to the
accurate mapping of forest aboveground biomass (AGB), although previous studies have …

The accurate estimation of grassland vegetation parameters at a high spatial resolution is
important for the sustainable management of grassland areas. Unmanned aerial vehicle …

Tropical forest embraces a large stock of carbon and contributes to the enormous amount of
above-and below-ground biomass and the global carbon cycle. The carbon kept in the …