Spatial tree risk determination in Universiti Teknologi Malaysia

Trees are one of the assets to be taken care of. Without proper care, trees that are at risk of collapse can result in loss of life and property. The purpose of this study was to identify tree species and trees that are at risk for falling on UTM campus using GIS analysis. The study also focused on...

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Main Author:	Faki, Omer Elsayedfaki Elsayedmohamednour
Format:	Thesis
Language:	English
Published:	2020
Subjects:	G70.39-70.6 Remote sensing
Online Access:	http://eprints.utm.my/id/eprint/96696/2/OmarElsayedfakiMFABU2020.pdf.pdf
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id	my-utm-ep.96696
record_format	uketd_dc
spelling	my-utm-ep.966962022-08-17T07:15:19Z Spatial tree risk determination in Universiti Teknologi Malaysia 2020 Faki, Omer Elsayedfaki Elsayedmohamednour G70.39-70.6 Remote sensing Trees are one of the assets to be taken care of. Without proper care, trees that are at risk of collapse can result in loss of life and property. The purpose of this study was to identify tree species and trees that are at risk for falling on UTM campus using GIS analysis. The study also focused on campus areas that are at risk for falling trees. This study focuses on four factors that make a tree at risk for tree fall, including tree species, tree height, tree age, tree size, and tree conditions and its ability to fall. Geospatial databases have been developed using whole data to calculate the level of risk for each tree. The methods highlighted in this study are the use of trigonometric methods, height estimation and growth rate, and the use of measuring tape. The end result of this study is a map of the risk level. This map will show the high-risk trees and high-risk areas within the UTM campus. There are a lot of establishments that will get benefit from this research first of all UTM campus, because they will get an organized data about tree species with the locations for each type of trees and we will design a hazard map for trees inside the campus, Secondly the local council of Malaysia because if any disasters happen inside the campus the primary authority is the local council and they will know what type of tree species inside the campus and where is the hazard area and what kind of solutions can help to protect the environment. Another agency that will get benefit from our research is forestry department because a geospatial data base will be developed for tree species inside the campus so this data will help them. 2020 Thesis http://eprints.utm.my/id/eprint/96696/ http://eprints.utm.my/id/eprint/96696/2/OmarElsayedfakiMFABU2020.pdf.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:142785 masters Universiti Teknologi Malaysia Faculty of Built Environment & Surveying
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	G70.39-70.6 Remote sensing
spellingShingle	G70.39-70.6 Remote sensing Faki, Omer Elsayedfaki Elsayedmohamednour Spatial tree risk determination in Universiti Teknologi Malaysia
description	Trees are one of the assets to be taken care of. Without proper care, trees that are at risk of collapse can result in loss of life and property. The purpose of this study was to identify tree species and trees that are at risk for falling on UTM campus using GIS analysis. The study also focused on campus areas that are at risk for falling trees. This study focuses on four factors that make a tree at risk for tree fall, including tree species, tree height, tree age, tree size, and tree conditions and its ability to fall. Geospatial databases have been developed using whole data to calculate the level of risk for each tree. The methods highlighted in this study are the use of trigonometric methods, height estimation and growth rate, and the use of measuring tape. The end result of this study is a map of the risk level. This map will show the high-risk trees and high-risk areas within the UTM campus. There are a lot of establishments that will get benefit from this research first of all UTM campus, because they will get an organized data about tree species with the locations for each type of trees and we will design a hazard map for trees inside the campus, Secondly the local council of Malaysia because if any disasters happen inside the campus the primary authority is the local council and they will know what type of tree species inside the campus and where is the hazard area and what kind of solutions can help to protect the environment. Another agency that will get benefit from our research is forestry department because a geospatial data base will be developed for tree species inside the campus so this data will help them.
format	Thesis
qualification_level	Master's degree
author	Faki, Omer Elsayedfaki Elsayedmohamednour
author_facet	Faki, Omer Elsayedfaki Elsayedmohamednour
author_sort	Faki, Omer Elsayedfaki Elsayedmohamednour
title	Spatial tree risk determination in Universiti Teknologi Malaysia
title_short	Spatial tree risk determination in Universiti Teknologi Malaysia
title_full	Spatial tree risk determination in Universiti Teknologi Malaysia
title_fullStr	Spatial tree risk determination in Universiti Teknologi Malaysia
title_full_unstemmed	Spatial tree risk determination in Universiti Teknologi Malaysia
title_sort	spatial tree risk determination in universiti teknologi malaysia
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Built Environment & Surveying
publishDate	2020
url	http://eprints.utm.my/id/eprint/96696/2/OmarElsayedfakiMFABU2020.pdf.pdf
_version_	1747818677855584256

Spatial tree risk determination in Universiti Teknologi Malaysia

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