Review of studies on tree species classification from remotely sensed data
Spatially explicit information on tree species composition of managed and natural forests,
plantations and urban vegetation provides valuable information for nature conservationists …
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
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 …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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**
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 …
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
Unmanned aerial systems (UAS) are becoming a common tool for aerial sensing
applications. Nevertheless, sensed data need further processing before becoming useful …
applications. Nevertheless, sensed data need further processing before becoming useful …