A review of tree species classification based on airborne LiDAR data and applied classifiers
M Michałowska, J Rapiński - Remote Sensing, 2021 - mdpi.com
Remote sensing techniques, developed over the past four decades, have enabled large-
scale forest inventory. Light Detection and Ranging (LiDAR), as an active remote sensing …
scale forest inventory. Light Detection and Ranging (LiDAR), as an active remote sensing …
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 detection from unmanned aerial vehicle (UAV) derived canopy height model in an open canopy mixed conifer forest
Advances in Unmanned Aerial Vehicle (UAV) technology and data processing capabilities
have made it feasible to obtain high-resolution imagery and three dimensional (3D) data …
have made it feasible to obtain high-resolution imagery and three dimensional (3D) data …
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 …
Tree‐centric mapping of forest carbon density from airborne laser scanning and hyperspectral data
M Dalponte, DA Coomes - Methods in ecology and evolution, 2016 - Wiley Online Library
Forests are a major component of the global carbon cycle, and accurate estimation of forest
carbon stocks and fluxes is important in the context of anthropogenic global change …
carbon stocks and fluxes is important in the context of anthropogenic global change …
[HTML][HTML] Mapping the urban forest in detail: From LiDAR point clouds to 3D tree models
M Münzinger, N Prechtel, M Behnisch - Urban Forestry & Urban Greening, 2022 - Elsevier
Trees are an integral component of the urban environment and important for human well-
being, adaption measures to climate change and sustainable urban transformation …
being, adaption measures to climate change and sustainable urban transformation …
A new method for 3D individual tree extraction using multispectral airborne LiDAR point clouds
Abstract Characterization of individual trees is essential for many applications in forest
management and ecology. Previous studies relied on single tree detection from …
management and ecology. Previous studies relied on single tree detection from …
[HTML][HTML] Area-based vs tree-centric approaches to mapping forest carbon in Southeast Asian forests from airborne laser scanning data
Tropical forests are a key component of the global carbon cycle, and mapping their carbon
density is essential for understanding human influences on climate and for ecosystem …
density is essential for understanding human influences on climate and for ecosystem …
When tree rings go global: Challenges and opportunities for retro-and prospective insight
The demand for large-scale and long-term information on tree growth is increasing rapidly
as environmental change research strives to quantify and forecast the impacts of continued …
as environmental change research strives to quantify and forecast the impacts of continued …
A LiDAR biomass index-based approach for tree-and plot-level biomass mapping over forest farms using 3D point clouds
Spatially continuous mapping forest aboveground biomass (AGB) is crucial for better
understanding the capacities of carbon sequestration capacities of forest ecosystems at both …
understanding the capacities of carbon sequestration capacities of forest ecosystems at both …