[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 …

Forestry remote sensing from unmanned aerial vehicles: A review focusing on the data, processing and potentialities

N Guimarães, L Pádua, P Marques, N Silva, E Peres… - Remote Sensing, 2020 - mdpi.com
Currently, climate change poses a global threat, which may compromise the sustainability of
agriculture, forestry and other land surface systems. In a changing world scenario, the …

Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data

H Qin, W Zhou, Y Yao, W Wang - Remote Sensing of Environment, 2022 - Elsevier
Accurate classification of individual tree species is essential for inventorying, managing, and
protecting forest resources. Individual tree species classification in subtropical forests …

Individual tree detection from unmanned aerial vehicle (UAV) derived canopy height model in an open canopy mixed conifer forest

M Mohan, CA Silva, C Klauberg, P Jat, G Catts… - Forests, 2017 - mdpi.com
Advances in Unmanned Aerial Vehicle (UAV) technology and data processing capabilities
have made it feasible to obtain high-resolution imagery and three dimensional (3D) data …

A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems

D Lu, Q Chen, G Wang, L Liu, G Li… - International Journal of …, 2016 - Taylor & Francis
Remote sensing-based methods of aboveground biomass (AGB) estimation in forest
ecosystems have gained increased attention, and substantial research has been conducted …

[图书][B] LiDAR remote sensing and applications

P Dong, Q Chen - 2017 - taylorfrancis.com
Ideal for both undergraduate and graduate students in the fields of geography, forestry,
ecology, geographic information science, remote sensing, and photogrammetric …

Determining tree height and crown diameter from high-resolution UAV imagery

D Panagiotidis, A Abdollahnejad, P Surový… - … journal of remote …, 2017 - Taylor & Francis
Advances in computer vision and the parallel development of unmanned aerial vehicles
(UAVs) allow for the extensive use of UAV in forest inventory and in indirect measurements …

Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods

PJ Zarco-Tejada, R Diaz-Varela, V Angileri… - European journal of …, 2014 - Elsevier
This study provides insight into the assessment of canopy biophysical parameter retrieval
using passive sensors and specifically into the quantification of tree height in a …

Urban tree species mapping using hyperspectral and lidar data fusion

M Alonzo, B Bookhagen, DA Roberts - Remote sensing of environment, 2014 - Elsevier
In this study we fused high-spatial resolution (3.7 m) hyperspectral imagery with 22 pulse/m
2 lidar data at the individual crown object scale to map 29 common tree species in Santa …

Trends in automatic individual tree crown detection and delineation—Evolution of LiDAR data

Z Zhen, LJ Quackenbush, L Zhang - Remote Sensing, 2016 - mdpi.com
Automated individual tree crown detection and delineation (ITCD) using remotely sensed
data plays an increasingly significant role in efficiently, accurately, and completely …