Abstract
Abstract. Roadside trees in the city play a crucial role in addressing the issues of air pollution, urban heat island effects, road noise, and so on. This paper proposes an efficient and robust method to automatically extract individual roadside trees with morphological parameters from mobile laser scanning (MLS) point clouds for ecological benefits estimation. The proposed method consists of four steps: MLS data pre-processing, pole-like objects classification, individual tree extraction, morphological parameters calculation for ecological benefits estimation. The proposed method is verified using three complex datasets in Shanghai, China. Comprehensive experiments demonstrate that the proposed method achieves good performance in extracting individual tree in terms of average precision and recall (91.83%, 92.60%), and provides detailed information for ecological benefits estimation.
Highlights
Roadside trees are essential in urban environment
The method of this paper is divided into four steps, which includes (1) mobile laser scanning (MLS) point clouds pre-processing, (2) Pole-like objects extraction, (3) Individual tree extraction and (4) morphological parameters calculation and ecological benefits estimation
In order to eliminate the influence of unrelated objects, this paper adopts the method of first segmentation and classification to extract the complete roadside trees
Summary
Roadside trees are essential in urban environment. Location and parameter measurements of urban vegetation are important for improving urban ecological environment and maintaining human mental health (Wang et al, 2020). The method of this paper is divided into four steps, which includes (1) MLS point clouds pre-processing, (2) Pole-like objects extraction, (3) Individual tree extraction and (4) morphological parameters calculation and ecological benefits estimation. (1) The confidence of each pole belonging to trunk is calculated and considered as the order of hierarchical min-cut, which can make sure that poles more likely to be trees can be cut first, so that the extracted results are more complete. This approach can effectively avoid unexpected removal of target poles. (2) The Living Vegetation Volume and annual O2 output, CO2 and SO2 absorption, dust retention, transpiration amount are calculated at individual tree level and block level, providing detailed information to estimate ecological benefits of urban roadside trees
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