Review of studies on tree species classification from remotely sensed data

FE Fassnacht, H Latifi, K Stereńczak… - Remote sensing of …, 2016 - Elsevier
Spatially explicit information on tree species composition of managed and natural forests,
plantations and urban vegetation provides valuable information for nature conservationists …

Recent advances in forest insect pests and diseases monitoring using UAV-based data: A systematic review

A Duarte, N Borralho, P Cabral, M Caetano - Forests, 2022 - mdpi.com
Unmanned aerial vehicles (UAVs) are platforms that have been increasingly used over the
last decade to collect data for forest insect pest and disease (FIPD) monitoring. These …

[HTML][HTML] Map** 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 …

Understanding forest health with remote sensing-part II—A review of approaches and data models

A Lausch, S Erasmi, DJ King, P Magdon, M Heurich - Remote Sensing, 2017 - mdpi.com
Stress in forest ecosystems (FES) occurs as a result of land-use intensification, disturbances,
resource limitations or unsustainable management, causing changes in forest health (FH) at …

Layer stacking: A novel algorithm for individual forest tree segmentation from LiDAR point clouds

E Ayrey, S Fraver, JA Kershaw Jr… - Canadian Journal of …, 2017 - Taylor & Francis
As light detection and ranging (LiDAR) technology advances, it has become common for
datasets to be acquired at a point density high enough to capture structural information from …

International benchmarking of the individual tree detection methods for modeling 3-D canopy structure for silviculture and forest ecology using airborne laser scanning

Y Wang, J Hyyppä, X Liang, H Kaartinen… - … on Geoscience and …, 2016 - ieeexplore.ieee.org
Canopy structure plays an essential role in biophysical activities in forest environments.
However, quantitative descriptions of a 3-D canopy structure are extremely difficult because …

Deep learning for forest inventory and planning: a critical review on the remote sensing approaches so far and prospects for further applications

A Hamedianfar, C Mohamedou, A Kangas… - Forestry, 2022 - academic.oup.com
Data processing for forestry applications is challenged by the increasing availability of multi-
source and multi-temporal data. The advancements of Deep Learning (DL) algorithms have …

Use and categorization of light detection and ranging vegetation metrics in avian diversity and species distribution research

TRM Bakx, Z Koma, AC Seijmonsbergen… - Diversity and …, 2019 - Wiley Online Library
Aim Vegetation structure is a key determinant of animal diversity and species distributions.
The introduction of Light Detection and Ranging (LiDAR) has enabled the collection of …

Deep learning for fusion of APEX hyperspectral and full-waveform LiDAR remote sensing data for tree species map**

W Liao, F Van Coillie, L Gao, L Li, B Zhang… - IEEE …, 2018 - ieeexplore.ieee.org
Deep learning has been widely used to fuse multi-sensor data for classification. However,
current deep learning architecture for multi-sensor data fusion might not always perform …

On-the-fly olive tree counting using a UAS and cloud services

E Salamí, A Gallardo, G Skorobogatov, C Barrado - Remote Sensing, 2019 - mdpi.com
Unmanned aerial systems (UAS) are becoming a common tool for aerial sensing
applications. Nevertheless, sensed data need further processing before becoming useful …