Abstract
The emergence of hand-held Personal Laser Scanning (H-PLS) systems in recent years resulted in initial research on the possibility of its application in forest inventory, primarily for the estimation of the main tree attributes (e.g. tree detection, stem position, DBH, tree height, etc.). Research knowledge acquired so far can help to direct further research and eventually include H-PLS into operational forest inventory in the future. The main aims of this review are: - to present the current state of the art for H-PLS systems - briefly describe the fundamental concept and methods for H-PLS application in forest inventory - provide an overview of the results of previous studiesÞ emphasize pros and cons for H-PLS application in forest inventory in relation to conventional field measurements and other similar laser scanning systems - highlight the main issues that should be covered by further H-PLS-based forest inventory studies.
Highlights
The potential of remote sensing application in forest inventory has long been recognized by both forest science and practice (White et al 2016)
The most significant progress in remote-sensingbased forest inventory studies has resulted from the development of laser scanning (LS) technology known as light detection and ranging (LiDAR) (Wang et al 2019)
All comparison studies dealing with the acquisition time (Bauwens et al 2016, Chen et al 2019, Gollob et al 2020) emphasized the high time efficiency of held Personal Laser Scanning (H-Personal Laser Scanning (PLS)) systems in forest inventory, compared to conventional field measurements and especially to multi-scan Terrestrial Laser Scanning (TLS) surveys
Summary
The potential of remote sensing application in forest inventory has long been recognized by both forest science and practice (White et al 2016). The most significant progress in remote-sensingbased forest inventory studies has resulted from the development of laser scanning (LS) technology known as light detection and ranging (LiDAR) (Wang et al 2019). LS is an active remote sensing technology for collecting high-precision three-dimensional (3D) spatial data (point cloud) based on laser scanning, ranging, positioning and orientation measurement techniques (Petrie and Toth 2009). According to Wang et al (2019), the main advantages of LS technology in forest inventory are: Croat. Þ capability of canopy penetration, which enables the detection of tree tops, the terrain and vertical forest structure in single data acquisition. Each system provides data of certain characteristics that could serve for specific forest inventory needs, at individual branch-, tree-, plot-, stand-, country- and global-level
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