Hyperspectral imaging and 3D technologies for plant phenotyping: From satellite to close-range sensing
High-throughput phenotyping technologies in controlled environments or field conditions
have proven to be extremely useful in unravelling key quantitative traits of plants for …
have proven to be extremely useful in unravelling key quantitative traits of plants for …
A new generation of sensors and monitoring tools to support climate-smart forestry practices
Climate-smart forestry (CSF) is an emerging branch of sustainable adaptive forest
management aimed at enhancing the potential of forests to adapt to and mitigate climate …
management aimed at enhancing the potential of forests to adapt to and mitigate climate …
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 …
Simulated impact of sample plot size and co-registration error on the accuracy and uncertainty of LiDAR-derived estimates of forest stand biomass
GW Frazer, S Magnussen, MA Wulder… - Remote Sensing of …, 2011 - Elsevier
Regression has been widely applied in Light Detection And Ranging (LiDAR) remote
sensing to spatially extend predictions of total aboveground biomass (TAGB) and other …
sensing to spatially extend predictions of total aboveground biomass (TAGB) and other …
Comparison of canopy cover estimations from airborne LiDAR, aerial imagery, and satellite imagery
Canopy cover is an important forest structure parameter for many applications in ecology,
hydrology, and forest management. Light detection and ranging (LiDAR) is a promising tool …
hydrology, and forest management. Light detection and ranging (LiDAR) is a promising tool …
A comparison of open-source LiDAR filtering algorithms in a Mediterranean forest environment
AL Montealegre, MT Lamelas… - IEEE Journal of …, 2015 - ieeexplore.ieee.org
Light detection and ranging (LiDAR) is an emerging remote-sensing technology with
potential to assist in mapping, monitoring, and assessment of forest resources. Despite a …
potential to assist in mapping, monitoring, and assessment of forest resources. Despite a …
CLOI-NET: Class segmentation of industrial facilities' point cloud datasets
E Agapaki, I Brilakis - Advanced Engineering Informatics, 2020 - Elsevier
Shape segmentation from point cloud data is a core step of the digital twinning process for
industrial facilities. However, it is also a very labor intensive step, which counteracts the …
industrial facilities. However, it is also a very labor intensive step, which counteracts the …
Removing bias from LiDAR-based estimates of canopy height: Accounting for the effects of pulse density and footprint size
Airborne laser scanning (LiDAR) is used in forest inventories to quantify stand structure with
three dimensional point clouds. However, the structure of point clouds depends not only on …
three dimensional point clouds. However, the structure of point clouds depends not only on …
Leaf area density from airborne LiDAR: Comparing sensors and resolutions in a temperate broadleaf forest ecosystem
Forest processes that play an essential role in carbon sequestration, such as light use
efficiency, photosynthetic capacity, and trace gas exchange, are closely tied to the three …
efficiency, photosynthetic capacity, and trace gas exchange, are closely tied to the three …
[HTML][HTML] Demonstrating the transferability of forest inventory attribute models derived using airborne laser scanning data
Airborne laser scanning (ALS) is a reliable source of accurate information for forest stand
inventory attributes including height, cover, basal area, and volume. The commonly applied …
inventory attributes including height, cover, basal area, and volume. The commonly applied …