Recent advances in Unmanned Aerial Vehicles forest remote sensing—A systematic review. Part II: Research applications

R Dainelli, P Toscano, SF Di Gennaro, A Matese - Forests, 2021 - mdpi.com
Forest sustainable management aims to maintain the income of woody goods for
companies, together with preserving non-productive functions as a benefit for the …

Recent advances in unmanned aerial vehicle forest remote sensing—A systematic review. Part I: A general framework

R Dainelli, P Toscano, SF Di Gennaro, A Matese - Forests, 2021 - mdpi.com
Natural, semi-natural, and planted forests are a key asset worldwide, providing a broad
range of positive externalities. For sustainable forest planning and management, remote …

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

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

Individual tree crown delineation from high-resolution UAV images in broadleaf forest

M Miraki, H Sohrabi, P Fatehi, M Kneubuehler - Ecological Informatics, 2021 - Elsevier
Unmanned aerial vehicles (UAVs) paired with a structure from motion (SfM) algorithm (UAV-
SfM) can be used to derive canopy height models (CHMs) for individual tree crown …

A comparison of multi-temporal RGB and multispectral UAS imagery for tree species classification in heterogeneous New Hampshire Forests

H Grybas, RG Congalton - Remote Sensing, 2021 - mdpi.com
Unmanned aerial systems (UASs) have recently become an affordable means to map
forests at the species level, but research into the performance of different classification …

Estimating tree height and volume using unmanned aerial vehicle photography and SfM technology, with verification of result accuracy

S Kameyama, K Sugiura - Drones, 2020 - mdpi.com
This study aimed to investigate the effects of differences in shooting and flight conditions for
an unmanned aerial vehicle (UAV) on the processing method and estimated results of aerial …

Effects of differences in structure from motion software on image processing of unmanned aerial vehicle photography and estimation of crown area and tree height in …

S Kameyama, K Sugiura - Remote Sensing, 2021 - mdpi.com
This study examines the effects of differences in structure from motion (SfM) software on
image processing of aerial images by unmanned aerial vehicles (UAV) and the resulting …

A comparative analysis of UAV-RTK and UAV-PPK methods in mapping different surface types

R Eker, E Alkan, A Aydın - European Journal of Forest Engineering, 2021 - dergipark.org.tr
This study aimed to compare unmanned aerial vehicle (UAV) based real-time kinematic
(RTK) and post-processing kinematic (PPK) methods via five approaches: an RTK-CORS …

High-Temporal-Resolution Forest Growth Monitoring Based on Segmented 3D Canopy Surface from UAV Aerial Photogrammetry

W Zhang, F Gao, N Jiang, C Zhang, Y Zhang - Drones, 2022 - mdpi.com
Traditional forest monitoring has been mainly performed with images or orthoimages from
aircraft or satellites. In recent years, the availability of high-resolution 3D data has made it …

Canopy Volume Extraction of Citrus reticulate Blanco cv. Shatangju Trees Using UAV Image-Based Point Cloud Deep Learning

Y Qi, X Dong, P Chen, KH Lee, Y Lan, X Lu, R Jia… - Remote Sensing, 2021 - mdpi.com
Automatic acquisition of the canopy volume parameters of the Citrus reticulate Blanco cv.
Shatangju tree is of great significance to precision management of the orchard. This …