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[HTML][HTML] lidR: An R package for analysis of Airborne Laser Scanning (ALS) data
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 …
natural resources management. By quantifying the three-dimensional structure of vegetation …
Individual mangrove tree measurement using UAV-based LiDAR data: Possibilities and challenges
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 …
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
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 …
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
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 …
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 …
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 …
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
Spatially continuous map** forest aboveground biomass (AGB) is crucial for better
understanding the capacities of carbon sequestration capacities of forest ecosystems at both …
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 …
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 …
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
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 …
studies of forest ecosystem. Unmanned Aerial Vehicle Light Detection and Ranging (UAV …
Quantifying understory vegetation density using small-footprint airborne lidar
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 …
scale has the potential to greatly improve our understanding of wildlife habitats, nutrient …