[HTML][HTML] Terrestrial laser scanning in forest ecology: Expanding the horizon
Terrestrial laser scanning (TLS) was introduced for basic forest measurements, such as tree
height and diameter, in the early 2000s. Recent advances in sensor and algorithm …
height and diameter, in the early 2000s. Recent advances in sensor and algorithm …
Lidar boosts 3D ecological observations and modelings: A review and perspective
The advent of lidar has revolutionized the way we observe and measure vegetation structure
from the ground and from above and represents a major advance toward the quantification …
from the ground and from above and represents a major advance toward the quantification …
Estimation of LAI with the LiDAR technology: A review
Leaf area index (LAI) is an important vegetation parameter. Active light detection and
ranging (LiDAR) technology has been widely used to estimate vegetation LAI. In this study …
ranging (LiDAR) technology has been widely used to estimate vegetation LAI. In this study …
IoT monitoring of urban tree ecosystem services: Possibilities and challenges
Urban green infrastructure plays an increasingly significant role in sustainable urban
development planning as it provides important regulating and cultural ecosystem services …
development planning as it provides important regulating and cultural ecosystem services …
Improved supervised learning-based approach for leaf and wood classification from LiDAR point clouds of forests
SMK Moorthy, K Calders, MB Vicari… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Accurately classifying 3-D point clouds into woody and leafy components has been an
interest for applications in forestry and ecology including the better understanding of …
interest for applications in forestry and ecology including the better understanding of …
An assessment study of three indirect methods for estimating leaf area density and leaf area index of individual trees
Field measurements of leaf area density (LAD) and leaf area index (LAI) for individual trees
have increased in importance and relevance with the advent of high spatial resolution …
have increased in importance and relevance with the advent of high spatial resolution …
Leaf area index estimation algorithm for GF-5 hyperspectral data based on different feature selection and machine learning methods
Z Chen, K Jia, C Xiao, D Wei, X Zhao, J Lan, X Wei… - Remote Sensing, 2020 - mdpi.com
Leaf area index (LAI) is an essential vegetation parameter that represents the light energy
utilization and vegetation canopy structure. As the only in-operation hyperspectral satellite …
utilization and vegetation canopy structure. As the only in-operation hyperspectral satellite …
Comparison of Landsat-8 and Sentinel-2 data for estimation of leaf area index in temperate forests
LH Meyer, M Heurich, B Beudert, J Premier… - Remote Sensing, 2019 - mdpi.com
With the launch of the Sentinel-2 satellites, a European capacity has been created to ensure
continuity of Landsat and SPOT observations. In contrast to previous sensors, Sentinel-2′ s …
continuity of Landsat and SPOT observations. In contrast to previous sensors, Sentinel-2′ s …
A mixed data-based deep neural network to estimate leaf area index in wheat breeding trials
Remote and non-destructive estimation of leaf area index (LAI) has been a challenge in the
last few decades as the direct and indirect methods available are laborious and time …
last few decades as the direct and indirect methods available are laborious and time …
Assimilation of sentinel‐based leaf area index for modeling surface‐ground water interactions in irrigation districts
Vegetation‐related processes, such as evapotranspiration (ET), irrigation water withdrawal,
and groundwater recharge, are influencing surface water (SW)—groundwater (GW) …
and groundwater recharge, are influencing surface water (SW)—groundwater (GW) …