Terrestrial Laser Scanning (TLS) for tree structure studies: a review of methods for wood-leaf classifications from 3D point clouds

S Arrizza, S Marras, R Ferrara, G Pellizzaro - Remote Sensing Applications …, 2024 - Elsevier
In the last decades new remote sensing and proximal sensing techniques have been
developed for forest monitoring and vegetation mapping application. In this context LiDAR …

Evaluating the Research Status of the Remote Sensing-Mediated Monitoring of Forest Biomass: A Bibliometric Analysis of WOS

Y Shi, Z Wang, G Zhang, X Wei, W Ma, H Yu - Forests, 2024 - mdpi.com
Forests serve as the largest carbon reservoir in terrestrial ecosystems, playing a crucial role
in mitigating global warming and achieving the goal of “carbon neutrality”. Forest biomass is …

TomoSense: A unique 3D dataset over temperate forest combining multi-frequency mono-and bi-static tomographic SAR with terrestrial, UAV and airborne lidar, and …

S Tebaldini, MM d'Alessandro, LMH Ulander… - Remote Sensing of …, 2023 - Elsevier
The TomoSense experiment was funded by the European Space Agency (ESA) to support
research on remote sensing of forested areas by means of Synthetic Aperture Radar (SAR) …

Mapping individual tree and plot-level biomass using airborne and mobile lidar in piñon-juniper woodlands

MJ Campbell, JF Eastburn, KA Mistick, AM Smith… - International Journal of …, 2023 - Elsevier
Piñon-juniper (PJ) woodlands are a widespread dryland ecosystem in the US containing an
immense but poorly-constrained amount of aboveground biomass (AGB). Found at the dry …

Analysing individual 3D tree structure using the R package ITSMe

L Terryn, K Calders, M Åkerblom… - Methods in Ecology …, 2023 - Wiley Online Library
Detailed 3D quantification of tree structure plays a crucial role in understanding tree‐and
plot‐level biophysical processes. Light detection and ranging (LiDAR) has led to a …

Automatic tree detection and attribute characterization using portable terrestrial lidar

A Solares-Canal, L Alonso, J Picos, J Armesto - Trees, 2023 - Springer
Key message This study details a methodology to automatically detect the positions of and
dasometric information about individual Eucalyptus trees from a point cloud acquired with a …

[HTML][HTML] Methodology for measuring dendrometric parameters in a mediterranean forest with UAVs flying inside forest

R Greco, E Barca, P Raumonen, M Persia… - International Journal of …, 2023 - Elsevier
Accurate field measurements of tree morphological features are essential for effective forest
inventory and the sustainable management of forest resources. Traditional methods involve …

Monitoring spatiotemporal variation of individual tree biomass using multitemporal LiDAR data

Z Qi, S Li, Y Pang, L Du, H Zhang, Z Li - Remote Sensing, 2023 - mdpi.com
Assessing the spatiotemporal changes in forest aboveground biomass (AGB) provides
crucial insights for effective forest carbon stock management, an accurate estimation of …

[HTML][HTML] Multisource forest point cloud registration with semantic-guided keypoints and robust RANSAC mechanisms

W Dai, H Kan, R Tan, B Yang, Q Guan, N Zhu… - International Journal of …, 2022 - Elsevier
Abstract The Increasing availabilities of Terrestrial Laser Scanning (TLS) and Unmanned
Aerial Vehicle Laser Scanning (ULS) have advanced accurate and detailed forest structural …

AI applications in forest monitoring need remote sensing benchmark datasets

ER Lines, M Allen, C Cabo, K Calders… - … Conference on Big …, 2022 - ieeexplore.ieee.org
With the rise in high resolution remote sensing technologies there has been an explosion in
the amount of data available for forest monitoring, and an accompanying growth in artificial …