Urban vegetation (UV) and its carbon storage capacity are critical for terrestrial carbon
cycling and global sustainable development goals (SDGs). With complex spatial distribution …

Forests contribute to climate change mitigation through carbon storage and uptake, but the
extent to which this carbon pool varies in space and time is still poorly known. Several Earth …

The optimal configurations for very high-resolution (VHR,< 2 m) spaceborne imagery
collection to support stereogrammetry over complex forested terrain remain uncertain. We …

ABSTRACT The Global Ecosystem Dynamics Investigation (GEDI) is expected to
revolutionize the quantification of aboveground carbon at continental scales, through its …

Airborne laser scanning data are increasingly used to predict forest biomass over large
areas. Biomass information cannot be derived directly from airborne laser scanning data; …

Forests, as one of the most important carbon sinks on earth, are more and more under stress
by environmental changes. The dynamics of forests and consequently their functions in …

Most multi-layer natural forest structures, usually containing obvious vertical structures
including overstory, understory, and grass, show significant differences in structure …

To understand forest dynamics under today's changing environmental conditions, it is
important to analyze the state of forests at large scales. Forest inventories are not available …

Deriving gross & net primary productivity (GPP & NPP) and carbon turnover time of forests
from remote sensing remains challenging. This study presents a novel approach to estimate …

Lidar sensors are active remote sensing instruments that provide data on forest structure,
which serve as inputs in the prediction of forest parameters. The objective of this study was …