Tree Hazard Assessments at University Putra Malaysia Using GIS-Based UPM-MUTIS Decision Support System

Urban forest can be defined as art, science and technology of managing trees and forest resources that grow within a city, town or a suburb. It provides benefits in the form of green landscape, storm water management, carbon storage which lead to human heath. Regardless, they are also potentially c...

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Main Author: Teng, Jonathan Yi Chuon
Format: Thesis
Language:English
English
Published: 2011
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/19502/1/FH_2011_4.pdf
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spelling my-upm-ir.195022014-05-19T03:24:54Z Tree Hazard Assessments at University Putra Malaysia Using GIS-Based UPM-MUTIS Decision Support System 2011-03 Teng, Jonathan Yi Chuon Urban forest can be defined as art, science and technology of managing trees and forest resources that grow within a city, town or a suburb. It provides benefits in the form of green landscape, storm water management, carbon storage which lead to human heath. Regardless, they are also potentially cause hazardous to their surroundings. Hence, there is a need to evaluate urban trees whether they are hazardous or not. These can be prevented by developing a tree information system which can determine hazardous trees as well as function as trees‟ coordinates‟ locator information storage. It also will act as decision support tool for the management. Hazard rating assessment in the context of urban trees is the evaluation of the defect severity of trees and how likely they are to fail as well as how severe in terms of damage that they could cause to their surroundings. In this study, roadside trees hazard rating was assessed automatically by a Visual Basic for Applications (VBA) in customized ArcMapTM application using, known as Universiti Putra Malaysia-Malaysian Urban Trees Information System (UPM MUTIS), developed by the Faculty of Forestry, UPM. The capabilities of UPM-MUTIS ver. 1.0 in determining hazard rating are also assessed. The study area covered part of UPM‟s academic zone. Result revealed that out of 909 trees assessed, A total of 840 trees (92.4%) were categorized as „Low‟ hazard rating, 67 trees (7.4%) as „Medium‟ hazard rating and no trees with „High‟ and „Severe‟ hazard rating. The accuracy on the tree counting in the study area is 95.15%. UPM-MUTIS should be further developed into a web-based system which can be accessed by all potential users. UPM-MUTIS should be further tested by local municipal council and arborists for practicality. Further studies should be done on UPM-MUTIS to enable life long monitoring of tree health and tree risk status that could change over time Tree hazard evaluation - Malaysia Geographic information systems - Malaysia 2011-03 Thesis http://psasir.upm.edu.my/id/eprint/19502/ http://psasir.upm.edu.my/id/eprint/19502/1/FH_2011_4.pdf application/pdf en public masters Universiti Putra Malaysia Tree hazard evaluation - Malaysia Geographic information systems - Malaysia Faculty of Forestry English
institution Universiti Putra Malaysia
collection PSAS Institutional Repository
language English
English
topic Tree hazard evaluation - Malaysia
Geographic information systems - Malaysia

spellingShingle Tree hazard evaluation - Malaysia
Geographic information systems - Malaysia

Teng, Jonathan Yi Chuon
Tree Hazard Assessments at University Putra Malaysia Using GIS-Based UPM-MUTIS Decision Support System
description Urban forest can be defined as art, science and technology of managing trees and forest resources that grow within a city, town or a suburb. It provides benefits in the form of green landscape, storm water management, carbon storage which lead to human heath. Regardless, they are also potentially cause hazardous to their surroundings. Hence, there is a need to evaluate urban trees whether they are hazardous or not. These can be prevented by developing a tree information system which can determine hazardous trees as well as function as trees‟ coordinates‟ locator information storage. It also will act as decision support tool for the management. Hazard rating assessment in the context of urban trees is the evaluation of the defect severity of trees and how likely they are to fail as well as how severe in terms of damage that they could cause to their surroundings. In this study, roadside trees hazard rating was assessed automatically by a Visual Basic for Applications (VBA) in customized ArcMapTM application using, known as Universiti Putra Malaysia-Malaysian Urban Trees Information System (UPM MUTIS), developed by the Faculty of Forestry, UPM. The capabilities of UPM-MUTIS ver. 1.0 in determining hazard rating are also assessed. The study area covered part of UPM‟s academic zone. Result revealed that out of 909 trees assessed, A total of 840 trees (92.4%) were categorized as „Low‟ hazard rating, 67 trees (7.4%) as „Medium‟ hazard rating and no trees with „High‟ and „Severe‟ hazard rating. The accuracy on the tree counting in the study area is 95.15%. UPM-MUTIS should be further developed into a web-based system which can be accessed by all potential users. UPM-MUTIS should be further tested by local municipal council and arborists for practicality. Further studies should be done on UPM-MUTIS to enable life long monitoring of tree health and tree risk status that could change over time
format Thesis
qualification_level Master's degree
author Teng, Jonathan Yi Chuon
author_facet Teng, Jonathan Yi Chuon
author_sort Teng, Jonathan Yi Chuon
title Tree Hazard Assessments at University Putra Malaysia Using GIS-Based UPM-MUTIS Decision Support System
title_short Tree Hazard Assessments at University Putra Malaysia Using GIS-Based UPM-MUTIS Decision Support System
title_full Tree Hazard Assessments at University Putra Malaysia Using GIS-Based UPM-MUTIS Decision Support System
title_fullStr Tree Hazard Assessments at University Putra Malaysia Using GIS-Based UPM-MUTIS Decision Support System
title_full_unstemmed Tree Hazard Assessments at University Putra Malaysia Using GIS-Based UPM-MUTIS Decision Support System
title_sort tree hazard assessments at university putra malaysia using gis-based upm-mutis decision support system
granting_institution Universiti Putra Malaysia
granting_department Faculty of Forestry
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/19502/1/FH_2011_4.pdf
_version_ 1747811397505384448