[HTML][HTML] lidR: An R package for analysis of Airborne Laser Scanning (ALS) data

JR Roussel, D Auty, NC Coops, P Tompalski… - Remote Sensing of …, 2020 - Elsevier
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 …

Individual mangrove tree measurement using UAV-based LiDAR data: Possibilities and challenges

D Yin, L Wang - Remote Sensing of Environment, 2019 - Elsevier
Individual mangrove tree parameters are necessary for the efficient management and
protection of this unique ecosystem, but to measure them using remote sensing (RS) is still a …

Growing status observation for oil palm trees using Unmanned Aerial Vehicle (UAV) images

J Zheng, H Fu, W Li, W Wu, L Yu, S Yuan… - ISPRS Journal of …, 2021 - Elsevier
For both the positive economic benefit and the negative ecological impact of the rapid
expansion of oil palm plantations in tropical develo** countries, it is significant to achieve …

Lidar boosts 3D ecological observations and modelings: A review and perspective

Q Guo, Y Su, T Hu, H Guan, S **… - … and Remote Sensing …, 2020 - ieeexplore.ieee.org
The advent of lidar has revolutionized the way we observe and measure vegetation structure
from the ground and from above and represents a major advance toward the quantification …

Tree crown detection and delineation in a temperate deciduous forest from UAV RGB imagery using deep learning approaches: Effects of spatial resolution and …

Y Gan, Q Wang, A Iio - Remote Sensing, 2023 - mdpi.com
The automatic detection of tree crowns and estimation of crown areas from remotely sensed
information offer a quick approach for gras** the dynamics of forest ecosystems and are of …

Comparison of classical methods and mask R-CNN for automatic tree detection and map** using UAV imagery

K Yu, Z Hao, CJ Post, EA Mikhailova, L Lin, G Zhao… - Remote Sensing, 2022 - mdpi.com
Detecting and map** individual trees accurately and automatically from remote sensing
images is of great significance for precision forest management. Many algorithms, including …

A LiDAR biomass index-based approach for tree-and plot-level biomass map** over forest farms using 3D point clouds

L Du, Y Pang, Q Wang, C Huang, Y Bai, D Chen… - Remote Sensing of …, 2023 - Elsevier
Spatially continuous map** forest aboveground biomass (AGB) is crucial for better
understanding the capacities of carbon sequestration capacities of forest ecosystems at both …

Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: A comparison with traditional machine learning …

D Yu, Y Zha, Z Sun, J Li, X **, W Zhu, J Bian, L Ma… - Precision …, 2023 - Springer
Accurate estimation of above-ground biomass (AGB) plays a significant role in
characterizing crop growth status. In precision agriculture area, a widely-used method for …

[HTML][HTML] Individual tree segmentation and tree height estimation using leaf-off and leaf-on UAV-LiDAR data in dense deciduous forests

Q Chen, T Gao, J Zhu, F Wu, X Li, D Lu, F Yu - Remote Sensing, 2022 - mdpi.com
Accurate individual tree segmentation (ITS) is fundamental to forest management and to the
studies of forest ecosystem. Unmanned Aerial Vehicle Light Detection and Ranging (UAV …

Quantifying understory vegetation density using small-footprint airborne lidar

MJ Campbell, PE Dennison, AT Hudak… - Remote sensing of …, 2018 - Elsevier
The ability to quantify understory vegetation structure in forested environments on a broad
scale has the potential to greatly improve our understanding of wildlife habitats, nutrient …