A Holistic Analysis for Landslide Susceptibility Mapping Applying Geographic Object-Based Random Forest: A Comparison between Protected and Non-Protected Forests

Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

(2019) Jie Dou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Landslide Susceptibility Modeling Using Integrated Ensemble Weights of Evidence with Logistic Regression and Random Forest Models

(2019) Wei Chen et al.   Applied Sciences-Basel

An Ensemble Model for Landslide Susceptibility Mapping in a Forested Area

(2019) Alireza Arabameri et al.   Geocarto International

Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling

(2019) Vu Nguyen et al.   Forests

Landslide Susceptibility Mapping Based on Random Forest and Boosted Regression Tree Models, and a Comparison of Their Performance

(2019) Soyoung Park et al.   Applied Sciences-Basel

Mine landslide susceptibility assessment using IVM, ANN and SVM models considering the contribution of affecting factors

(2019) Xiangang Luo et al.   PLoS One

Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models

(2019) Nohani et al.   Water

A Landslide Susceptibility Assessment Method Based on GIS Technology and an AHP-Weighted Information Content Method: A Case Study of Southern Anhui, China

(2019) Handong He et al.   ISPRS International Journal of Geo-Information

Forest drought-induced diversity of Hyrcanian individual-tree mortality affected by meteorological and hydrological droughts by analyzing moderate resolution imaging spectroradiometer products and spatial autoregressive models over northeast Iran

(2019) Omid Abdi et al.   AGRICULTURAL AND FOREST METEOROLOGY

Climate-Triggered Insect Defoliators and Forest Fires Using Multitemporal Landsat and TerraClimate Data in NE Iran: An Application of GEOBIA TreeNet and Panel Data Analysis

(2019) Omid Abdi   SENSORS

A Novel Performance Assessment Approach using Photogrammetric Techniques for Landslide Susceptibility Mapping with Logistic Regression, ANN and Random Forest

(2019) Sevgen et al.   SENSORS

A Synergetic Analysis of Sentinel-1 and -2 for Mapping Historical Landslides Using Object-Oriented Random Forest in the Hyrcanian Forests

(2019) Zeinab Shirvani et al.   Remote Sensing

A new analysis approach for long‐term variations of forest loss, fragmentation, and degradation resulting from road‐network expansion using Landsat time‐series and object‐based image analysis

(2019) Zeinab Shirvani et al.   LAND DEGRADATION & DEVELOPMENT

Analysis and evaluation of landslide susceptibility: a review on articles published during 2005–2016 (periods of 2005–2012 and 2013–2016)

(2018) Hamid Reza Pourghasemi et al.   Arabian Journal of Geosciences

Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)

(2018) Haoyuan Hong et al.   CATENA

Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China

(2018) Chao Zhou et al.   COMPUTERS & GEOSCIENCES

A review of statistically-based landslide susceptibility models

(2018) Paola Reichenbach et al.   EARTH-SCIENCE REVIEWS

Spatiotemporal drought evaluation of Hyrcanian deciduous forests and semi-steppe rangelands using moderate resolution imaging spectroradiometer time series in Northeast Iran

(2018) Omid Abdi et al.   LAND DEGRADATION & DEVELOPMENT

Landslides and dam damage resulting from the Jiuzhaigou earthquake (8 August 2017), Sichuan, China

(2018) Bo Zhao et al.   Royal Society Open Science

An integrated data-mining and multi-criteria decision-making approach for hazard-based object ranking with a focus on landslides and floods

(2018) Ghasem Mirzaei et al.   Environmental Earth Sciences

Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping

(2018) Prima Kadavi et al.   Remote Sensing

Landslide susceptibility mapping in an area of underground mining using the multicriteria decision analysis method

(2018) Deniz Arca et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Landslide Susceptibility Assessment Using Integrated Deep Learning Algorithm along the China-Nepal Highway

(2018) Liming Xiao et al.   SENSORS

Assessment of Landslide-Prone Areas and Their Zonation Using Logistic Regression, LogitBoost, and NaïveBayes Machine-Learning Algorithms

(2018) Hamid Pourghasemi et al.   Sustainability

The assessment of landslide susceptibility mapping using random forest and decision tree methods in the Three Gorges Reservoir area, China

(2017) Kaixiang Zhang et al.   Environmental Earth Sciences

A Tool for Classification and Regression Using Random Forest Methodology: Applications to Landslide Susceptibility Mapping and Soil Thickness Modeling

(2017) Daniela Lagomarsino et al.   ENVIRONMENTAL MODELING & ASSESSMENT

Effect of forest clear-cutting on landslide occurrences: Analysis of rainfall thresholds at Mt. Ichifusa, Japan

(2017) Hitoshi Saito et al.   GEOMORPHOLOGY

The influence of forest cover on landslide occurrence explored with spatio-temporal information

(2017) Elmar M. Schmaltz et al.   GEOMORPHOLOGY

Analysing Spatial and Statistical Dependencies of Deforestation Affected by Residential Growth: Gorganrood Basin, Northeast Iran

(2017) Zeinab Shirvani et al.   LAND DEGRADATION & DEVELOPMENT

Comparison of machine-learning techniques for landslide susceptibility mapping using two-level random sampling (2LRS) in Alakir catchment area, Antalya, Turkey

(2017) Metehan Ada et al.   NATURAL HAZARDS

Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea

(2017) Jeong-Cheol Kim et al.   Geocarto International

Landslide susceptibility assessment using three bivariate models considering the new topo-hydrological factor: HAND

(2017) Aiding Kornejady et al.   Geocarto International

A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China

(2017) Wei Chen et al.   Geomatics Natural Hazards & Risk

Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran

(2016) Hamid Reza Pourghasemi et al.   Environmental Earth Sciences

A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)

(2016) Binh Thai Pham et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Landslide risk perception and communication for disaster risk management in mountain areas of developing countries: a Mexican foretaste

(2016) Irasema Alcántara-Ayala et al.   Journal of Mountain Science

Landslide susceptibility modeling in a landslide prone area in Mazandarn Province, north of Iran: a comparison between GLM, GAM, MARS, and M-AHP methods

(2016) Hamid Reza Pourghasemi et al.   THEORETICAL AND APPLIED CLIMATOLOGY

A Quantitative Assessment of Forest Cover Change in the Moulouya River Watershed (Morocco) by the Integration of a Subpixel-Based and Object-Based Analysis of Landsat Data

(2016) Fernando Aguilar et al.   Forests

Spatial-statistical analysis of factors determining forest fires: a case study from Golestan, Northeast Iran

(2016) Omid Abdi et al.   Geomatics Natural Hazards & Risk

A novel ensemble classifier of rotation forest and Naïve Bayer for landslide susceptibility assessment at the Luc Yen district, Yen Bai Province (Viet Nam) using GIS

(2016) Binh Thai Pham et al.   Geomatics Natural Hazards & Risk

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

(2015) J.N. Goetz et al.   COMPUTERS & GEOSCIENCES

Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)

(2015) Alessandro Trigila et al.   GEOMORPHOLOGY

Application of landscape metrics and a Markov chain model to assess land cover changes within a forested watershed, Taiwan

(2015) Chun-Kuo Yeh et al.   HYDROLOGICAL PROCESSES

GIS-based assessment of landslide susceptibility using certainty factor and index of entropy models for the Qianyang County of Baoji city, China

(2015) Qiqing Wang et al.   Journal of Earth System Science

An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan

(2015) Jie Dou et al.   NATURAL HAZARDS

The Influence of Land Use Change on Landslide Susceptibility Zonation: The Briga Catchment Test Site (Messina, Italy)

(2014) P. Reichenbach et al.   ENVIRONMENTAL MANAGEMENT

An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic

(2014) A-Xing Zhu et al.   GEOMORPHOLOGY

Spatial prediction of landslide susceptibility using a decision tree approach: a case study of the Pyeongchang area, Korea

(2014) Inhye Park et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Forest cover change trajectories and their impact on landslide occurrence in the tropical Andes

(2013) Marie Guns et al.   Environmental Earth Sciences

Landslide susceptibility mapping based on rough set theory and support vector machines: A case of the Three Gorges area, China

(2013) Ling Peng et al.   GEOMORPHOLOGY

How can statistical models help to determine driving factors of landslides?

(2012) Peter Vorpahl et al.   ECOLOGICAL MODELLING

Landslide susceptibility mapping at Golestan Province, Iran: A comparison between frequency ratio, Dempster–Shafer, and weights-of-evidence models

(2012) Majid Mohammady et al.   JOURNAL OF ASIAN EARTH SCIENCES

Lanslide hydrogeological susceptibility of Maierato (Vibo Valentia, Southern Italy)

(2012) Paola Gattinoni et al.   NATURAL HAZARDS

Landslide erosion coupled to tectonics and river incision

(2012) Isaac J. Larsen et al.   Nature Geoscience

Mass wasting triggered by the 2008 Wenchuan earthquake is greater than orogenic growth

(2011) Robert N. Parker et al.   Nature Geoscience

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

(2010) Young-Kwang Yeon et al.   ENGINEERING GEOLOGY

Comparison and Validation of Landslide Susceptibility Maps Using an Artificial Neural Network Model for Three Test Areas in Malaysia

(2010) B. PRADHAN et al.   ENVIRONMENTAL & ENGINEERING GEOSCIENCE

Instability in eight sub-basins of the Chilliwack River Valley, British Columbia, Canada: A comparison of natural and logging-related landslides

(2010) Andrea Wolter et al.   GEOMORPHOLOGY

Relationship between the initiation of a shallow landslide and rainfall intensity—duration thresholds in Japan

(2010) Hitoshi Saito et al.   GEOMORPHOLOGY

Spatial distribution of landslides triggered by the 2008 Ms 8.0 Wenchuan earthquake, China

(2010) F.C. Dai et al.   JOURNAL OF ASIAN EARTH SCIENCES

Weights-of-evidence model applied to landslide susceptibility mapping in a tropical hilly area

(2010) Biswajeet Pradhan et al.   Geomatics Natural Hazards & Risk

Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview

(2008) Cees J. van Westen et al.   ENGINEERING GEOLOGY

Development of a two-band enhanced vegetation index without a blue band

(2008) Z JIANG et al.   REMOTE SENSING OF ENVIRONMENT

Effects of forest harvesting on the occurrence of landslides and debris flows in steep terrain of central Japan

(2007) Fumitoshi Imaizumi et al.   EARTH SURFACE PROCESSES AND LANDFORMS

Rainfall-induced landslides and debris flows

(2007) Giovanni B. Crosta et al.   HYDROLOGICAL PROCESSES