Abstract
Application of LiDAR for tree detection and tree canopy segmentation has been widely used in conifer plantation forest in temperate countries with high accuracy, however its application on tropical natural forest especially peat swamp forest hardly found. The objective of this study was evaluated algorithms of individual tree detection and canopy segmentation used LiDAR data in peat swamp forest. The algorithms included (a) Local Maxima (LM) with various variable window size combined with growing region, (b) LM with various variable window size combined with Voronoi Tessellation, (c) LM with various fixed window size combined with growing region, (d) LM with various fixed window size combined with Voronoi Tessellation, and (e) Tree Relative Distance algorithm. The results show that algorithm with the best accuracy was the Tree Relative Distance algorithm with the highest overall F-score of 0.63. The tree relative distance algorithm also provides the highest accuracy in determining three tree parameters which are position, height and diameter of tree canopy with a RMSE value 1.08 m, 6.45 m and 1.19 m, respectively.
Highlights
Remote sensing technology has been widely used in forest measurement activities
The Algotihms included (1) Local Maxima (LM) with various variable window size combined with growing region, (2) local maxima (LM) with various variable window size combined with Voronoi Tessellation, (3) LM with various fixed window size combined with growing region, (4) LM with various fixed window size combined with Voronoi Tessellation and (5) Tree Relatif Distance algorithm
The tree relative distance algorithm has the highest overall F-score of 0.63, which indicates that this algorithm has better performance compared to other algorithms
Summary
Remote sensing technology has been widely used in forest measurement activities. Development of remote sensing technology allows tree detection and segmentation at individual level (Zhen et al, 2016). The use of this technology is expected to replace the field measurement method that requires large costs and longer period(Hyyppa et al, 2001). Light Detecting and Ranging (LiDAR) is a remote sensing technology that can be used for tree detection and segmentation at the individual level –(Kaartinen et al, 2012). LiDAR sensor is designed to identify the three dimensional coordinates of an object allowing for detection and segmentation of the tree –(Lim et al, 2003). LiDAR spacecraft equipped with Global Navigation Satellite Systems (GNSS) can provide accurate location information and Inertial Measurement Unit (IMU)
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