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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
Published: 2019
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://utpedia.utp.edu.my/id/eprint/19992/1/Thesis-Abdulkadir-G03104.pdf
http://utpedia.utp.edu.my/id/eprint/19992/
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spelling oai:utpedia.utp.edu.my:199922024-07-29T01:40:21Z http://utpedia.utp.edu.my/id/eprint/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. 2019-11 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/id/eprint/19992/1/Thesis-Abdulkadir-G03104.pdf SHOLAGBERU, ABDULKADIR TAOFEEQ (2019) GEOGRAPHIC INFORMATION SYSTEM BASED SUPPORT VECTOR MACHINE MODELING FOR SOIL EROSION SUSCEPTIBILITY MAPPING. Doctoral thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
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_facet 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 2019
url http://utpedia.utp.edu.my/id/eprint/19992/1/Thesis-Abdulkadir-G03104.pdf
http://utpedia.utp.edu.my/id/eprint/19992/
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score 13.214268

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