GEOGRAPHIC INFORMATION SYSTEM BASED SUPPORT VECTOR MACHINE MODELING FOR SOIL EROSION SUSCEPTIBILITY MAPPING

Soil erosion hazard has been recognized as one of the biggest environmental challenges. It becomes more problematic in human-altered mountainous watershed like Cameron Highlands. Literature survey revealed the issues of subjectivity in selecting erosion causative factors (CFs) for susceptibility mod...

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Main Author: SHOLAGBERU, ABDULKADIR TAOFEEQ
Format: Thesis
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.19992 /
Published: 2018
Subjects:
Online Access: http://utpedia.utp.edu.my/19992/1/Thesis-Abdulkadir-G03104.pdf
http://utpedia.utp.edu.my/19992/
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recordtype eprints
spelling utp-utpedia.199922019-11-07T11:44:54Z http://utpedia.utp.edu.my/19992/ GEOGRAPHIC INFORMATION SYSTEM BASED SUPPORT VECTOR MACHINE MODELING FOR SOIL EROSION SUSCEPTIBILITY MAPPING SHOLAGBERU, ABDULKADIR TAOFEEQ TA Engineering (General). Civil engineering (General) Soil erosion hazard has been recognized as one of the biggest environmental challenges. It becomes more problematic in human-altered mountainous watershed like Cameron Highlands. Literature survey revealed the issues of subjectivity in selecting erosion causative factors (CFs) for susceptibility modeling due to lack of specific guideline. To date, some crucial dynamic CFs are not considered and support vector machine (SVM) techniques are scarcely explored in the previous susceptibility mapping. 2018-11 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/19992/1/Thesis-Abdulkadir-G03104.pdf SHOLAGBERU, ABDULKADIR TAOFEEQ (2018) GEOGRAPHIC INFORMATION SYSTEM BASED SUPPORT VECTOR MACHINE MODELING FOR SOIL EROSION SUSCEPTIBILITY MAPPING. PhD thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
SHOLAGBERU, ABDULKADIR TAOFEEQ
GEOGRAPHIC INFORMATION SYSTEM BASED SUPPORT VECTOR MACHINE MODELING FOR SOIL EROSION SUSCEPTIBILITY MAPPING
description Soil erosion hazard has been recognized as one of the biggest environmental challenges. It becomes more problematic in human-altered mountainous watershed like Cameron Highlands. Literature survey revealed the issues of subjectivity in selecting erosion causative factors (CFs) for susceptibility modeling due to lack of specific guideline. To date, some crucial dynamic CFs are not considered and support vector machine (SVM) techniques are scarcely explored in the previous susceptibility mapping.
format Thesis
author SHOLAGBERU, ABDULKADIR TAOFEEQ
author_sort SHOLAGBERU, ABDULKADIR TAOFEEQ
title GEOGRAPHIC INFORMATION SYSTEM BASED SUPPORT VECTOR MACHINE MODELING FOR SOIL EROSION SUSCEPTIBILITY MAPPING
title_short GEOGRAPHIC INFORMATION SYSTEM BASED SUPPORT VECTOR MACHINE MODELING FOR SOIL EROSION SUSCEPTIBILITY MAPPING
title_full GEOGRAPHIC INFORMATION SYSTEM BASED SUPPORT VECTOR MACHINE MODELING FOR SOIL EROSION SUSCEPTIBILITY MAPPING
title_fullStr GEOGRAPHIC INFORMATION SYSTEM BASED SUPPORT VECTOR MACHINE MODELING FOR SOIL EROSION SUSCEPTIBILITY MAPPING
title_full_unstemmed GEOGRAPHIC INFORMATION SYSTEM BASED SUPPORT VECTOR MACHINE MODELING FOR SOIL EROSION SUSCEPTIBILITY MAPPING
title_sort geographic information system based support vector machine modeling for soil erosion susceptibility mapping
publishDate 2018
url http://utpedia.utp.edu.my/19992/1/Thesis-Abdulkadir-G03104.pdf
http://utpedia.utp.edu.my/19992/
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score 11.62408