A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping

L Feng, S Chen, C Zhang, Y Zhang, Y He - Computers and electronics in …, 2021 - Elsevier
High-throughput phenotyping has been widely studied in plant science to monitor plant
growth and analyze the influence of genotypes and environment on plant growth. To meet …

UAV-based photogrammetric tree height measurement for intensive forest monitoring

S Krause, TGM Sanders, JP Mund, K Greve - Remote sensing, 2019 - mdpi.com
The measurement of tree height has long been an important tree attribute for the purpose of
calculating tree growth, volume, and biomass, which in turn deliver important ecological and …

Quantifying pruning impacts on olive tree architecture and annual canopy growth by using UAV-based 3D modelling

FM Jiménez-Brenes, F López-Granados, AI De Castro… - Plant methods, 2017 - Springer
Background Tree pruning is a costly practice with important implications for crop harvest and
nutrition, pest and disease control, soil protection and irrigation strategies. Investigations on …

Use of Multi-Temporal UAV-Derived Imagery for Estimating Individual Tree Growth in Pinus pinea Stands

J Guerra-Hernández, E González-Ferreiro, VJ Monleón… - Forests, 2017 - mdpi.com
High spatial resolution imagery provided by unmanned aerial vehicles (UAVs) can yield
accurate and efficient estimation of tree dimensions and canopy structural variables at the …

Use of unmanned aerial vehicles for monitoring recovery of forest vegetation on petroleum well sites

JN Hird, A Montaghi, GJ McDermid, J Kariyeva… - Remote Sensing, 2017 - mdpi.com
Photogrammetric point clouds (PPCs) provide a source of three-dimensional (3-D) remote
sensing data that is well-suited to use over small areas that are within the scope of …

Temporal transferability of pine forest attributes modeling using low-density airborne laser scanning data

D Domingo, R Alonso, MT Lamelas, AL Montealegre… - Remote Sensing, 2019 - mdpi.com
This study assesses model temporal transferability using airborne laser scanning (ALS) data
acquired over two different dates. Seven forest attributes (ie stand density, basal area …

Forest Canopy Fuel Loads Mapping Using Unmanned Aerial Vehicle High-Resolution Red, Green, Blue and Multispectral Imagery

ÁA Chávez-Durán, M García, M Olvera-Vargas… - Forests, 2024 - mdpi.com
Canopy fuels determine the characteristics of the entire complex of forest fuels due to their
constant changes triggered by the environment; therefore, the development of appropriate …

Comparing Forest Understory Fuel Classification in Portugal Using Discrete Airborne Laser Scanning Data and Satellite Multi-Source Remote Sensing Data

B Mihajlovski, PM Fernandes, JMC Pereira… - Fire, 2023 - mdpi.com
Wildfires burn millions of hectares of forest worldwide every year, and this trend is expected
to continue growing under current and future climate scenarios. As a result, accurate …

Predicting Growing Stock Volume of Eucalyptus Plantations Using 3-D Point Clouds Derived from UAV Imagery and ALS Data

J Guerra-Hernández, DN Cosenza, A Cardil, CA Silva… - Forests, 2019 - mdpi.com
Estimating forest inventory variables is important in monitoring forest resources and
mitigating climate change. In this respect, forest managers require flexible, non-destructive …

Evaluation of Unmanned Aerial Vehicles (UAV) as a Tool to Predict Biomass and Carbon of Tectona grandis in Silvopastoral Systems (SPS) in Costa Rica

J Hernández-Cole, E Ortiz-Malavassi, R Moya… - Drones, 2021 - mdpi.com
The main objective of this research was to evaluate the use of unmanned aerial vehicles
(UAVs) in estimating the aboveground biomass and carbon, and the dasometric …