BIP! Finder - Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms

2020 • Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms

Authors: Viet-Ha Nhu; Ayub Mohammadi; Himan Shahabi; Baharin Bin Ahmad; Nadhir Al-Ansari; Ataollah Shirzadi; Marten Geertsema; Victoria R. Kress; Sadra Karimzadeh; Khalil Valizadeh Kamran; Wei Chen; Hoang Nguyen

Venue: Forests

Type: Publication

Abstract: We used remote sensing techniques and machine learning to detect and map landslides, and landslide susceptibility in the Cameron Highlands, Malaysia. We located 152 landslides using a combination of interferometry synthetic aperture radar (InSAR), Google Earth (GE), and field surveys. Of the total slide locations, 80% (122 landslides) were utilized for training the selected algorithms, and the remaining 20% (30 landslides) were applied for validation purposes. We employed 17 conditioning factors, including slope angle, aspect, elevation, curvat... (read more)

Impact:

6.9314716E-8 5.1283116E-9 68 54

/ Attention: 0 27

Topics: Remote sensing Algorithm

DOI: 10.3390/f11080830

External links: Crossref OpenAIRE

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