Abstract
Abstract. Mobile LiDAR captures complete details of street trees located along roadway and it is most efficient tool for executing large scale projects for road side trees mapping. Information of road-side trees locations and their morphological characteristics are essential for road widening project planning, road safety and autonomous vehicles. We propose a method to generate GIS database of street trees using information of automatically extracted street trees using mobile LiDAR data. Proposed method first organizes mobile LiDAR input data in partially overlapping cylinders and then morphological characteristics of tree crown and trunk, respectively are used to detect trees falling within cylinders. Finally complete tree structure point cloud is recovered from cylinder by vertical cylinders fitting to crown and trunk separately. The proposed method is tested on point cloud data acquired by StreetMapper 360 of 57 m long roadway. Completeness and correctness of 88.24% and 93.75% respectively are obtained in test site.
Highlights
As an important component of urban vegetation, street trees play an important role in maintenance of environmental quality, aesthetic beauty of urban landscape, and social service for inhabitants
Monitoring the changes in morphological conditions of street trees is essential over period for of time for maintaining road safety because sometime trees and their locations become hazardous for roadway vehicles
Proposed method is tested on mobile LiDAR system (MLS) data of 57 m long roadway, where trees crowns are connected together and trees trunks are occluded by low vegetation unlike dataset used in literature
Summary
As an important component of urban vegetation, street trees play an important role in maintenance of environmental quality, aesthetic beauty of urban landscape, and social service for inhabitants. It lowers road side soil erosion; dust level on roads is reduced. Driver perception of roadway edge is improved by road curb side street trees, which improves road safety. Monitoring the changes in morphological conditions of street trees is essential over period for of time for maintaining road safety because sometime trees and their locations become hazardous for roadway vehicles. Road side safety needs periodical monitoring of road-side trees size, location and density
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