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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2019
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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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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. |
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TA Engineering (General). Civil engineering (General) SHOLAGBERU, ABDULKADIR TAOFEEQ GEOGRAPHIC INFORMATION SYSTEM BASED SUPPORT VECTOR MACHINE MODELING FOR SOIL EROSION SUSCEPTIBILITY MAPPING |
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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. |
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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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1805891143734394880 |
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13.18916 |