Utilizing Tree Risk Assessment (TRA) and Unmanned Aerial Vehicle (UAV) as a pre-determine tree hazard identification

Masbiha Mat Isa; Muhammad Hafiz Zainal; Muhammad Adam Zakaria; Khairul Nizam Tahar; Qianda Zhuang

doi:10.21834/e-bpj.v10i32.6634

Authors

Masbiha Mat Isa Faculty of Built Environment, Universiti Teknologi MARA, Shah Alam, 40450, Malaysia
Muhammad Hafiz Zainal Faculty of Built Environment, Universiti Teknologi MARA
Muhammad Adam Zakaria
Khairul Nizam Tahar Faculty of Built Environment, Universiti Teknologi MARA, Shah Alam, 40450, Malaysia
Qianda Zhuang College of Agriculture and Forestry, Linyi University, Linyi 276000, China

DOI:

https://doi.org/10.21834/e-bpj.v10i32.6634

Keywords:

Tree Risk, UAV, Tree Hazard

Abstract

Trees carry a lot of benefits to urban areas but may also become huge threats. This study aims to integrate on-ground inspection data using TRA with UAV-based hyperspectral imagery data as pre-determined tree risk hazard levels on selected hot spots in Kuala Lumpur. Green Leaf Index (GLI) is used as a vegetation health indicator. The findings demonstrate that GLI analysis aligns significantly with tree hazard classifications, offering a reliable method for identifying hazardous trees in Malaysia's urban environments. The results indicate that this approach would specifically benefit the local authorities to accurately identify hazardous urban trees and mitigate potential threats.

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