UAV-based forest health monitoring: A systematic review

S Ecke, J Dempewolf, J Frey, A Schwaller, E Endres… - Remote Sensing, 2022 - mdpi.com
In recent years, technological advances have led to the increasing use of unmanned aerial
vehicles (UAVs) for forestry applications. One emerging field for drone application is forest …

Climate-change-driven droughts and tree mortality: assessing the potential of UAV-derived early warning metrics

EB Ewane, M Mohan, S Bajaj, GAP Galgamuwa… - Remote Sensing, 2023 - mdpi.com
Protecting and enhancing forest carbon sinks is considered a natural solution for mitigating
climate change. However, the increasing frequency, intensity, and duration of droughts due …

A new strategy for individual tree detection and segmentation from leaf-on and leaf-off UAV-LiDAR point clouds based on automatic detection of seed points

Y Pu, D Xu, H Wang, X Li, X Xu - Remote Sensing, 2023 - mdpi.com
Accurate and efficient estimation of forest volume or biomass is critical for carbon cycles,
forest management, and the timber industry. Individual tree detection and segmentation …

Sensors for digital transformation in smart forestry

F Ehrlich-Sommer, F Hoenigsberger, C Gollob… - Sensors, 2024 - mdpi.com
Smart forestry, an innovative approach leveraging artificial intelligence (AI), aims to enhance
forest management while minimizing the environmental impact. The efficacy of AI in this …

[HTML][HTML] Mapping of potential fuel regions using uncrewed aerial vehicles for wildfire prevention

ME Andrada, D Russell, T Arevalo-Ramirez, W Kuang… - Forests, 2023 - mdpi.com
This paper presents a comprehensive forest mapping system using a customized drone
payload equipped with Light Detection and Ranging (LiDAR), cameras, a Global Navigation …

Fundamental practices for drone remote sensing research across disciplines

AJ Mathews, KK Singh, AR Cummings… - Drone Systems and …, 2023 - cdnsciencepub.com
Drone remote sensing research has surged over the last few decades as the technology has
become increasingly accessible. Relatively easy-to-operate drones put data collection …

Effects of flight and smoothing parameters on the detection of taxus and olive trees with UAV-borne imagery

S Ottoy, N Tziolas, K Van Meerbeek, I Aravidis, S Tilkin… - Drones, 2022 - mdpi.com
Recent technical and jurisdictional advances, together with the availability of low-cost
platforms, have facilitated the implementation of unmanned aerial vehicles (UAVs) in …

[HTML][HTML] Benchmarking of Individual Tree Segmentation Methods in Mediterranean Forest Based on Point Clouds from Unmanned Aerial Vehicle Imagery and Low …

A Nemmaoui, FJ Aguilar, MA Aguilar - Remote Sensing, 2024 - mdpi.com
Three raster-based (RB) and one point cloud-based (PCB) algorithms were tested to
segment individual Aleppo pine trees and extract their tree height (H) and crown diameter …

Recognition of abnormal individuals based on lightweight deep learning using aerial images in complex forest landscapes: a case study of pine wood nematode

Z Zhang, B Wang, W Chen, Y Wu, J Qin, P Chen… - Remote Sensing, 2023 - mdpi.com
Individuals with abnormalities are key drivers of subtle stress changes in forest ecosystems.
Although remote sensing monitoring and deep learning have been developed for forest …

UAV Photogrammetry for Estimating Stand Parameters of an Old Japanese Larch Plantation Using Different Filtering Methods at Two Flight Altitudes

J Karthigesu, T Owari, S Tsuyuki, T Hiroshima - Sensors, 2023 - mdpi.com
Old plantations are iconic sites, and estimating stand parameters is crucial for valuation and
management. This study aimed to estimate stand parameters of a 115-year-old Japanese …