UAV-supported forest regeneration: Current trends, challenges and implications
Replanting trees helps with avoiding desertification, reducing the chances of soil erosion
and flooding, minimizing the risks of zoonotic disease outbreaks, and providing ecosystem …
and flooding, minimizing the risks of zoonotic disease outbreaks, and providing ecosystem …
Recent advances in Unmanned Aerial Vehicles forest remote sensing—A systematic review. Part II: Research applications
Forest sustainable management aims to maintain the income of woody goods for
companies, together with preserving non-productive functions as a benefit for the …
companies, together with preserving non-productive functions as a benefit for the …
Development and performance evaluation of a very low-cost UAV-LiDAR system for forestry applications
Accurate and repeated forest inventory data are critical to understand forest ecosystem
processes and manage forest resources. In recent years, unmanned aerial vehicle (UAV) …
processes and manage forest resources. In recent years, unmanned aerial vehicle (UAV) …
Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion
Remote sensors, onboard orbital platforms, aircraft, or unmanned aerial vehicles (UAVs)
have emerged as a promising technology to enhance our understanding of changes in …
have emerged as a promising technology to enhance our understanding of changes in …
Estimating forest structure from UAV-mounted LiDAR point cloud using machine learning
Monitoring the structure of forest stands is of high importance for forest managers to help
them in maintaining ecosystem services. For that purpose, Unmanned Aerial Vehicles …
them in maintaining ecosystem services. For that purpose, Unmanned Aerial Vehicles …
Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes
AP Dalla Corte, DV Souza, FE Rex… - … and Electronics in …, 2020 - Elsevier
The high dimensionality of data generated by Unmanned Aerial Vehicle (UAV)-Lidar makes
it difficult to use classical statistical techniques to design accurate predictive models from …
it difficult to use classical statistical techniques to design accurate predictive models from …
Mobile 3D scan LiDAR: A literature review
This paper, by critically reviewing different years (from 2010 to 2020) of research activities
performed with Mobile Laser Scanning system, aims to review existing systems and how …
performed with Mobile Laser Scanning system, aims to review existing systems and how …
Existing and emerging uses of drones in restoration ecology
In the absence of effective and scalable human intervention, up to 95% of the world's
ecosystems will be affected by anthropogenic degradation by 2050. Therefore, immediate …
ecosystems will be affected by anthropogenic degradation by 2050. Therefore, immediate …
LiDAR applications to estimate forest biomass at individual tree scale: Opportunities, challenges and future perspectives
Accurate forest biomass estimation at the individual tree scale is the foundation of timber
industry and forest management. It plays an important role in explaining ecological issues …
industry and forest management. It plays an important role in explaining ecological issues …
Recent advances in unmanned aerial vehicle forest remote sensing—A systematic review. Part I: A general framework
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 …
range of positive externalities. For sustainable forest planning and management, remote …