Deep learning for LiDAR point cloud classification in remote sensing
Point clouds are one of the most widely used data formats produced by depth sensors.
There is a lot of research into feature extraction from unordered and irregular point cloud …
There is a lot of research into feature extraction from unordered and irregular point cloud …
The shape of trees: Reimagining forest ecology in three dimensions with remote sensing
How ecologists think about above‐ground forest structure and dynamics is fundamentally
shaped by the data we can collect. This has historically been limited to what is possible with …
shaped by the data we can collect. This has historically been limited to what is possible with …
Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests
Accurately quantifying tree and forest structure is important for monitoring and
understanding terrestrial ecosystem functioning in a changing climate. The emergence of …
understanding terrestrial ecosystem functioning in a changing climate. The emergence of …
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Wildfires have emerged as one of the most destructive natural disasters worldwide, causing
catastrophic losses. These losses have underscored the urgent need to improve public …
catastrophic losses. These losses have underscored the urgent need to improve public …
Forest structural complexity tool—an open source, fully-automated tool for measuring forest point clouds
S Krisanski, MS Taskhiri, S Gonzalez Aracil, D Herries… - Remote Sensing, 2021 - mdpi.com
Forest mensuration remains critical in managing our forests sustainably, however, capturing
such measurements remains costly, time-consuming and provides minimal amounts of …
such measurements remains costly, time-consuming and provides minimal amounts of …
[HTML][HTML] Towards real-time forest inventory using handheld LiDAR
A Proudman, M Ramezani, ST Digumarti… - Robotics and …, 2022 - Elsevier
While mobile LiDAR sensors are increasingly used to scan in ecology and forestry
applications, reconstruction and characterization are typically carried out offline. Motivated …
applications, reconstruction and characterization are typically carried out offline. Motivated …
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) …
research on remote sensing of forested areas by means of Synthetic Aperture Radar (SAR) …
Assessing the performance of a handheld laser scanning system for individual tree mapping—A Mixed forests showcase in Spain
The use of mobile laser scanning to survey forest ecosystems is a promising, scalable
technology to describe the 3D structure of forests at a high resolution. We use a structurally …
technology to describe the 3D structure of forests at a high resolution. We use a structurally …
Topology-based individual tree segmentation for automated processing of terrestrial laser scanning point clouds
Terrestrial laser scanning (TLS) is a ground-based approach to rapidly acquire 3D point
clouds via Light Detection and Ranging (LiDAR) technologies. Quantifying tree-scale …
clouds via Light Detection and Ranging (LiDAR) technologies. Quantifying tree-scale …
Analysing individual 3D tree structure using the R package ITSMe
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 …
plot‐level biophysical processes. Light detection and ranging (LiDAR) has led to a …