Forestry remote sensing from unmanned aerial vehicles: A review focusing on the data, processing and potentialities
Currently, climate change poses a global threat, which may compromise the sustainability of
agriculture, forestry and other land surface systems. In a changing world scenario, the …
agriculture, forestry and other land surface systems. In a changing world scenario, the …
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …
thereby improving plant breeding and management. Remote sensing techniques have …
Individual tree-crown detection in RGB imagery using semi-supervised deep learning neural networks
Remote sensing can transform the speed, scale, and cost of biodiversity and forestry
surveys. Data acquisition currently outpaces the ability to identify individual organisms in …
surveys. Data acquisition currently outpaces the ability to identify individual organisms in …
Allometric equations for integrating remote sensing imagery into forest monitoring programmes
Remote sensing is revolutionizing the way we study forests, and recent technological
advances mean we are now able–for the first time–to identify and measure the crown …
advances mean we are now able–for the first time–to identify and measure the crown …
Non-destructive tree volume estimation through quantitative structure modelling: Comparing UAV laser scanning with terrestrial LIDAR
Abstract Above-Ground Biomass (AGB) product calibration and validation require ground
reference plots at hectometric scales to match space-borne missions' resolution. Traditional …
reference plots at hectometric scales to match space-borne missions' resolution. Traditional …
Mapping understory plant communities in deciduous forests from Sentinel-2 time series
Understory plant communities are an integral component of deciduous forests, playing a
vital role in the overall health of the ecosystem. However, remote sensing of understory plant …
vital role in the overall health of the ecosystem. However, remote sensing of understory plant …
Individual tree crown segmentation from airborne LiDAR data using a novel Gaussian filter and energy function minimization-based approach
T Yun, K Jiang, G Li, MP Eichhorn, J Fan, F Liu… - Remote Sensing of …, 2021 - Elsevier
Accurate segmentation of individual tree crowns (ITCs) from airborne light detection and
ranging (LiDAR) data remains a challenge for forest inventories. Although many ITC …
ranging (LiDAR) data remains a challenge for forest inventories. Although many ITC …
Trends in automatic individual tree crown detection and delineation—Evolution of LiDAR data
Automated individual tree crown detection and delineation (ITCD) using remotely sensed
data plays an increasingly significant role in efficiently, accurately, and completely …
data plays an increasingly significant role in efficiently, accurately, and completely …
Individual tree crown segmentation directly from UAV-borne LiDAR data using the PointNet of deep learning
X Chen, K Jiang, Y Zhu, X Wang, T Yun - Forests, 2021 - mdpi.com
Accurate individual tree crown (ITC) segmentation from scanned point clouds is a
fundamental task in forest biomass monitoring and forest ecology management. Light …
fundamental task in forest biomass monitoring and forest ecology management. Light …