Abstract The lightweight Unmanned Aerial Vehicle (UAV) flight activities are constrained,
particularly in the UAV range or activity span and perseverance, by the strategic …

Protecting and enhancing forest carbon sinks is considered a natural solution for mitigating
climate change. However, the increasing frequency, intensity, and duration of droughts due …

Using machine learning and earth observation data to capture real-world variability in
spatial predictive mapping depends on sample size, design, and spatial extent …

Using unmanned aerial vehicles (UAV) as platforms for light detection and ranging (LiDAR)
sensors offers the efficient operation and advantages of active remote sensing; hence, UAV …

Tropical savanna ecosystems play a major role in the seasonality of the global carbon cycle.
However, their ability to store and sequester carbon is uncertain due to combined and …

Forest ecosystems strongly contribute to the mitigation of climate change impacts through
the carbon stored in forests and through harvested wood products, such as sawed wood and …

Lidar point clouds have been frequently used in forest inventories. The higher point density
has provided better representation of trees in forest plantations. So we developed a new …

Fast-growing Eucalyptus spp. forest plantations and their resultant wood products are
economically important and may provide a low-cost means to sequester carbon for …

Detecting and segmenting individual trees in forest ecosystems with high-density and
overlapping crowns often results in bias due to the limitations of the commonly used canopy …

Machine learning (ML) algorithms can be used to predict wood volume in a faster and more
accurate way, providing reliable answers in forest inventories. The objective of this work was …