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FOREST RESOURCES WANAGEMENT ›› 2017›› Issue (2): 131-138.doi: 10.13466/j.cnki.lyzygl.2017.02.022

• Research Bulletin • Previous Articles     Next Articles

Carbon Sequestration Estimation of Roadside Trees Based on Vehicle-borne Laser Point Cloud

ZHAO Yingyi(), HU Qingwu()   

  1. School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China
  • Received:2017-01-16 Revised:2017-04-21 Online:2017-04-28 Published:2020-10-10
  • Contact: HU Qingwu E-mail:kelsey_zhao@qq.com;huqw@whu.edu.cn

Abstract:

Continuous development of urban road traffic system requires higher standards of road ecological environment. Ecological benefits of roadside trees are getting more attention. Carbon sequestration is a measurement of roadside trees’ ecological benefits. The traditional method of estimating carbon sequestration is costly and inefficient. In order to solve above problems,a method using vehicle-borne laser point cloud data to estimate the carbon sequestration of roadside trees is proposed in this paper. The method can calculate the geometric parameters of a roadside tree,including tree height,crown diameter,diameter at breast height,by processing and analyzing point cloud data of an individual tree. Combining the calculated geometric parameters and an appropriate carbon sequestration calculation model,the estimated single tree’s carbon sequestration can be calculated. The proposed method can help enlarge application range of vehicle-borne laser point cloud data,improve the efficiency of estimating carbon sequestration,construct urban ecological environment and manage landscape.

Key words: vehicle-borne laser point cloud, roadside trees, geometric parameters, carbon sequestration

CLC Number: