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 …
[HTML][HTML] Assessing biodiversity using forest structure indicators based on airborne laser scanning data
The role of forests in biodiversity assessment and planning is substantial as these
ecosystems support approximately 80% of the world's terrestrial biodiversity. Forests provide …
ecosystems support approximately 80% of the world's terrestrial biodiversity. Forests provide …
Evaluating the performance of photogrammetric products using fixed-wing UAV imagery over a mixed conifer–broadleaf forest: Comparison with airborne laser …
Unmanned aerial vehicles (UAVs) and digital photogrammetric techniques are two recent
advances in remote sensing (RS) technology that are emerging as alternatives to high-cost …
advances in remote sensing (RS) technology that are emerging as alternatives to high-cost …
Application of a novel multiscale global graph convolutional neural network to improve the accuracy of forest type classification using aerial photographs
The accurate classification of forest types is critical for sustainable forest management. In
this study, a novel multiscale global graph convolutional neural network (MSG-GCN) was …
this study, a novel multiscale global graph convolutional neural network (MSG-GCN) was …
Deriving stand structural complexity from airborne laser scanning data—what does it tell us about a forest?
The three-dimensional forest structure is an important driver of several ecosystem functions
and services. Recent advancements in laser scanning technologies have set the path to …
and services. Recent advancements in laser scanning technologies have set the path to …
Improving the Estimation of Structural Parameters of a Mixed Conifer–Broadleaf Forest Using Structural, Textural, and Spectral Metrics Derived from Unmanned Aerial …
Forest structural parameters are crucial for assessing ecological functions and forest quality.
To improve the accuracy of estimating these parameters, various approaches based on …
To improve the accuracy of estimating these parameters, various approaches based on …
The 30-year impact of post-windthrow management on the forest regeneration process in northern Japan
The frequency and intensity of typhoons are expected to increase over time due to climate
change. These changes may expose forests to more windthrow in the future, and increasing …
change. These changes may expose forests to more windthrow in the future, and increasing …
Remotely Sensed Single Tree Data Enable the Determination of Habitat Thresholds for the Three-Toed Woodpecker (Picoides tridactylus)
Forest biodiversity conservation requires precise, area-wide information on the abundance
and distribution of key habitat structures at multiple spatial scales. We combined airborne …
and distribution of key habitat structures at multiple spatial scales. We combined airborne …
Assessment of handheld mobile terrestrial laser scanning for estimating tree parameters
Sustainable forest management heavily relies on the accurate estimation of tree parameters.
Among others, the diameter at breast height (DBH) is important for extracting the volume and …
Among others, the diameter at breast height (DBH) is important for extracting the volume and …
Classification of forest vertical structure in south Korea from aerial orthophoto and lidar data using an artificial neural network
Every vegetation colony has its own vertical structure. Forest vertical structure is considered
as an important indicator of a forest's diversity and vitality. The vertical structure of a forest …
as an important indicator of a forest's diversity and vitality. The vertical structure of a forest …