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 …
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 …
Tree Branch Characterisation from Point Clouds: a Comprehensive Review
Abstract Purpose of Review Since the late 1990s, researchers have been increasingly
utilising digital methodologies to assess the branch structure of trees. The emergence of …
utilising digital methodologies to assess the branch structure of trees. The emergence of …
Deep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees
The purpose of this study was to investigate the use of deep learning for
coniferous/deciduous classification of individual trees segmented from airborne LiDAR data …
coniferous/deciduous classification of individual trees segmented from airborne LiDAR data …
Measuring loblolly pine crowns with drone imagery through deep learning
X Lou, Y Huang, L Fang, S Huang, H Gao… - Journal of Forestry …, 2022 - Springer
In modeling forest stand growth and yield, crown width, a measure for stand density, is
among the parameters that allows for estimating stand timber volumes. However, accurately …
among the parameters that allows for estimating stand timber volumes. However, accurately …
Individual tree crown segmentation of a larch plantation using airborne laser scanning data based on region growing and canopy morphology features
The detection of individual trees in a larch plantation could improve the management
efficiency and production prediction. This study introduced a two-stage individual tree crown …
efficiency and production prediction. This study introduced a two-stage individual tree crown …
A novel approach to the unsupervised update of land-cover maps by classification of time series of multispectral images
This paper presents an unsupervised approach that extracts reliable labeled units from
outdated maps to update them using time series (TS) of recent multispectral (MS) images …
outdated maps to update them using time series (TS) of recent multispectral (MS) images …
An approach based on deep learning for tree species classification in LiDAR data acquired in mixed forest
This letter proposes a novel method based on Deep Learning (DL) to forest species
classification in airborne Light Detection and Ranging (LiDAR) data. Differently from the …
classification in airborne Light Detection and Ranging (LiDAR) data. Differently from the …
Tree species classification using airborne lidar data based on individual tree segmentation and shape fitting
C Qian, C Yao, H Ma, J Xu, J Wang - Remote Sensing, 2023 - mdpi.com
Individual tree species classification is of strategic importance for forest monitoring, analysis,
and management, which are critical for sustainable forestry development. In this regard, the …
and management, which are critical for sustainable forestry development. In this regard, the …
Point-cloud segmentation of individual trees in complex natural forest scenes based on a trunk-growth method
Q Liu, W Ma, J Zhang, Y Liu, D Xu, J Wang - Journal of Forestry Research, 2021 - Springer
Forest resource management and ecological assessment have been recently supported by
emerging technologies. Terrestrial laser scanning (TLS) is one that can be quickly and …
emerging technologies. Terrestrial laser scanning (TLS) is one that can be quickly and …