4.7 Article

Landslide Susceptibility Mapping and Comparison Using Decision Tree Models: A Case Study of Jumunjin Area, Korea

Related references

Note: Only part of the references are listed.
Review Geosciences, Multidisciplinary

A review of statistically-based landslide susceptibility models

Paola Reichenbach et al.

EARTH-SCIENCE REVIEWS (2018)

Article Environmental Sciences

Assessing future changes in the occurrence of rainfall-induced landslides at a regional scale

S. L. Gariano et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2017)

Article Green & Sustainable Science & Technology

A Support Vector Machine for Landslide Susceptibility Mapping in Gangwon Province, Korea

Saro Lee et al.

SUSTAINABILITY (2017)

Article Remote Sensing

Monitoring of the Estuary Sand Bar Related with Tidal Inlet in Namdaecheon Stream using Landsat Imagery

Jiwon Jang et al.

KOREAN JOURNAL OF REMOTE SENSING (2017)

Article Geosciences, Multidisciplinary

GIS-based landslide spatial modeling in Ganzhou City, China

Haoyuan Hong et al.

ARABIAN JOURNAL OF GEOSCIENCES (2016)

Article Remote Sensing

A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison

Omar F. Althuwaynee et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2016)

Article Geosciences, Multidisciplinary

Landslide hazard mapping considering rainfall probability in Inje, Korea

M. J. Lee et al.

GEOMATICS NATURAL HAZARDS & RISK (2016)

Article Remote Sensing

Preliminary Study for Tidal Flat Detection in Yeongjong-do according to Tide Level using Landsat Images

Seulki Lee et al.

KOREAN JOURNAL OF REMOTE SENSING (2016)

Article Computer Science, Interdisciplinary Applications

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

J. N. Goetz et al.

COMPUTERS & GEOSCIENCES (2015)

Article Computer Science, Interdisciplinary Applications

A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping

Bakhtiar Feizizadeh et al.

COMPUTERS & GEOSCIENCES (2014)

Article Geosciences, Multidisciplinary

Estimating landslide susceptibility through a artificial neural network classifier

Paraskevas Tsangaratos et al.

NATURAL HAZARDS (2014)

Article Mathematics, Applied

Modeling and Testing Landslide Hazard Using Decision Tree

Mutasem Sh. Alkhasawneh et al.

JOURNAL OF APPLIED MATHEMATICS (2014)

Article Geosciences, Multidisciplinary

Ensemble of ground subsidence hazard maps using fuzzy logic

Inhye Park et al.

CENTRAL EUROPEAN JOURNAL OF GEOSCIENCES (2014)

Article Remote Sensing

Predicting the hazard area of the volcanic ash caused by Mt. Ontake Eruption

Seul-Ki Lee et al.

KOREAN JOURNAL OF REMOTE SENSING (2014)

Article Environmental Sciences

Application of decision tree model for the ground subsidence hazard mapping near abandoned underground coal mines

Saro Lee et al.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2013)

Article Engineering, Geological

Landslide susceptibility mapping in Injae, Korea, using a decision tree

Young-Kwang Yeon et al.

ENGINEERING GEOLOGY (2010)

Review Engineering, Environmental

Landslide hazard and risk zonation - why is it still so difficult?

C. J. van Westen et al.

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2006)

Article Environmental Sciences

Decision tree regression for soft classification of remote sensing data

M Xu et al.

REMOTE SENSING OF ENVIRONMENT (2005)