Remote sensing has developed into an omnipresent technology in the scientific field of
forestry and is also increasingly used in an operational fashion. However, the pace and level …

Airborne laser scanning (ALS) is a remote sensing technology known for its applicability in
natural resources management. By quantifying the three-dimensional structure of vegetation …

Emerging technologies such as Internet of Things (IoT) can provide significant potential in
Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time …

The estimation of single tree and complete stand information is one of the central tasks of
forest inventory. In recent years, automatic algorithms have been successfully developed for …

Remote sensing-based methods of aboveground biomass (AGB) estimation in forest
ecosystems have gained increased attention, and substantial research has been conducted …

Remote sensing is revolutionizing the way we study forests, and recent technological
advances mean we are now able–for the first time–to identify and measure the crown …

Automated individual tree crown detection and delineation (ITCD) using remotely sensed
data plays an increasingly significant role in efficiently, accurately, and completely …

Filtering of light detection and ranging (LiDAR) data into the ground and non-ground points
is a fundamental step in processing raw airborne LiDAR data. This paper proposes an …

The measurement of tree height has long been an important tree attribute for the purpose of
calculating tree growth, volume, and biomass, which in turn deliver important ecological and …

Laser scanning from different acquisition platforms enables the collection of 3D point clouds
from different perspectives and with varying resolutions. These point clouds allow us to …