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...
Saved in:
| 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/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SPATIAL MODELLING OF FLOOD SUSCEPTIBILITY IN PERLIS USING GEOGRAPHIC INFORMATION SYSTEM (GIS) AND SUPPORT VECTOR MACHINE (SVM)
by: KAMARUDIN, NUR KHALIDAH
Published: (2020) -
Assessing Frequency Ratio Method for Soil Erosion Susceptibility Map in Cameron Highlands, Malaysia
by: Bin Mohamad Nor , Muhammad Fadhil
Published: (2018) -
Erosion Susceptibility mapping using Machine Learning and GIS: A case study of Kelantan
by: Azizan, Nur Afiqah
Published: (2020) -
Prediction of Soil Pore Water Pressure Using Polynomial Kernel
Support Vector Machine
by: Muhd Hasbi, Muhamad Alif
Published: (2017) -
Prediction of Soil Pore Water Pressure Using Polynomial Kernel
Support Vector Machine
by: Muhd Hasbi, Muhamad Alif
Published: (2017)