Precise Estimation of Urban Vegetation Carbon Stock Using Multi-Source LiDAR: A Case Study of East China Normal University

Haoyang Song

2024

Abstract

With the intensification of global climate change, accurately estimating vegetation carbon stock has become one of the keys to achieving carbon neutrality. This study combines multi-source LiDAR data and empirical carbon stock formulas to propose a comprehensive and reliable technical framework for the fine estimation of urban vegetation carbon stock. This framework includes: LiDAR data preprocessing, shrub extraction and volume calculation, tree segmentation, and carbon stock calculation. In particular, the study compares various commonly used tree segmentation algorithms and uses the layer stacking algorithm for tree segmentation in the study area, ultimately obtaining the total carbon stock in the study area to be 2,677,442.666 kg. Overall, this technical framework can effectively improve the accuracy and efficiency of traditional urban vegetation carbon stock estimation, providing technical support and data foundation for achieving carbon neutrality.

Paper Citation

in Harvard Style

Song H. (2024). Precise Estimation of Urban Vegetation Carbon Stock Using Multi-Source LiDAR: A Case Study of East China Normal University. In Proceedings of the 1st International Conference on Innovations in Applied Mathematics, Physics and Astronomy - Volume 1: IAMPA; ISBN 978-989-758-722-1, SciTePress, pages 201-208. DOI: 10.5220/0013035300004601

in Bibtex Style

@conference{iampa24,
author={Haoyang Song},
title={Precise Estimation of Urban Vegetation Carbon Stock Using Multi-Source LiDAR: A Case Study of East China Normal University},
booktitle={Proceedings of the 1st International Conference on Innovations in Applied Mathematics, Physics and Astronomy - Volume 1: IAMPA},
year={2024},
pages={201-208},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013035300004601},
isbn={978-989-758-722-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Innovations in Applied Mathematics, Physics and Astronomy - Volume 1: IAMPA
TI - Precise Estimation of Urban Vegetation Carbon Stock Using Multi-Source LiDAR: A Case Study of East China Normal University
SN - 978-989-758-722-1
AU - Song H.
PY - 2024
SP - 201
EP - 208
DO - 10.5220/0013035300004601
PB - SciTePress