[HTML][HTML] lidR: An R package for analysis of Airborne Laser Scanning (ALS) data
Airborne laser scanning (ALS) is a remote sensing technology known for its applicability in
natural resources management. By quantifying the three-dimensional structure of vegetation …
natural resources management. By quantifying the three-dimensional structure of vegetation …
A review on UAV-based applications for precision agriculture
Emerging technologies such as Internet of Things (IoT) can provide significant potential in
Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time …
Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time …
Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data
Accurate classification of individual tree species is essential for inventorying, managing, and
protecting forest resources. Individual tree species classification in subtropical forests …
protecting forest resources. Individual tree species classification in subtropical forests …
Remote sensing in forestry: current challenges, considerations and directions
Remote sensing has developed into an omnipresent technology in the scientific field of
forestry and is also increasingly used in an operational fashion. However, the pace and level …
forestry and is also increasingly used in an operational fashion. However, the pace and level …
Measurement of forest inventory parameters with Apple iPad pro and integrated LiDAR technology
The estimation of single tree and complete stand information is one of the central tasks of
forest inventory. In recent years, automatic algorithms have been successfully developed for …
forest inventory. In recent years, automatic algorithms have been successfully developed for …
A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
Remote sensing-based methods of aboveground biomass (AGB) estimation in forest
ecosystems have gained increased attention, and substantial research has been conducted …
ecosystems have gained increased attention, and substantial research has been conducted …
Allometric equations for integrating remote sensing imagery into forest monitoring programmes
Remote sensing is revolutionizing the way we study forests, and recent technological
advances mean we are now able–for the first time–to identify and measure the crown …
advances mean we are now able–for the first time–to identify and measure the crown …
Trends in automatic individual tree crown detection and delineation—Evolution of LiDAR data
Automated individual tree crown detection and delineation (ITCD) using remotely sensed
data plays an increasingly significant role in efficiently, accurately, and completely …
data plays an increasingly significant role in efficiently, accurately, and completely …
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 …
Improved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas
Filtering of light detection and ranging (LiDAR) data into the ground and non-ground points
is a fundamental step in processing raw airborne LiDAR data. This paper proposes an …
is a fundamental step in processing raw airborne LiDAR data. This paper proposes an …