Application of the coupled TOPSIS–Mahalanobis distance for multi-hazard-based management of the target districts of the Golestan Province, Iran

PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches

(2019) Omid Rahmati et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling

(2018) Binh Thai Pham et al.   Bulletin of Engineering Geology and the Environment

Prediction of the landslide susceptibility: Which algorithm, which precision?

(2018) Hamid Reza Pourghasemi et al.   CATENA

A review of statistically-based landslide susceptibility models

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

Integrated flood vulnerability assessment approach based on TOPSIS and Shannon entropy methods

(2018) Weichao Yang et al.   ECOLOGICAL INDICATORS

Bagging based Support Vector Machines for spatial prediction of landslides

(2018) Binh Thai Pham et al.   Environmental Earth Sciences

Development of an automated GIS tool for reproducing the HAND terrain model

(2018) Omid Rahmati et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping

(2018) Hossein Shafizadeh-Moghadam et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Multi-hazard model for developing countries

(2018) Gustavo Barrantes   NATURAL HAZARDS

Mapping flood susceptibility in mountainous areas on a national scale in China

(2018) Gang Zhao et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Erodibility prioritization of sub-watersheds using morphometric parameters analysis and its mapping: A comparison among TOPSIS, VIKOR, SAW, and CF multi-criteria decision making models

(2018) Alireza Arab Ameri et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms

(2018) Seyed Vahid Razavi Termeh et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China

(2018) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Spatial prediction of soil erosion susceptibility: an evaluation of the maximum entropy model

(2018) Maryam Pournader et al.   Earth Science Informatics

Prediction of Typhoon-Induced Flood Flows at Ungauged Catchments Using Simple Regression and Generalized Estimating Equation Approaches

(2018) Hyosang Lee et al.   Water

Evaluation of watershed health using Fuzzy-ANP approach considering geo-environmental and topo-hydrological criteria

(2018) Hossein Alilou et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques

(2017) Wei Chen et al.   GEODERMA

Suitability estimation for urban development using multi-hazard assessment map

(2017) George D. Bathrellos et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Performance assessment of individual and ensemble data-mining techniques for gully erosion modeling

(2017) Hamid Reza Pourghasemi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

(2017) Aiding Kornejady et al.   Geocarto International

Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)

(2017) Bahareh Kalantar et al.   Geomatics Natural Hazards & Risk

Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran

(2016) Omid Rahmati et al.   CATENA

A novel hybrid KPCA and SVM with PSO model for identifying debris flow hazard degree: a case study in Southwest China

(2016) Xin Qian et al.   Environmental Earth Sciences

Identifying the controls on coastal cliff landslides using machine-learning approaches

(2016) Mark E. Dickson et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Susceptibility mapping of shallow landslides using kernel-based Gaussian process, support vector machines and logistic regression

(2016) Ismail Colkesen et al.   JOURNAL OF AFRICAN EARTH SCIENCES

Modeling habitat distribution ofCornus officinaliswith Maxent modeling and fuzzy logics in China

(2016) Bo Cao et al.   Journal of Plant Ecology

Changing the Potential Distribution of Turkey Oak (Quercus cerris L.) under Climate Change in Turkey

(2016) Ahmet Mert et al.   POLISH JOURNAL OF ENVIRONMENTAL STUDIES

Testing a new application for TOPSIS: monitoring drought and wet periods in Iran

(2016) Gholamreza Roshan et al.   THEORETICAL AND APPLIED CLIMATOLOGY

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

Modeling habitat distribution ofCornus officinaliswith Maxent modeling and fuzzy logics in China

(2016) Bo Cao et al.   Journal of Plant Ecology

Assessment of soil erosion by RUSLE model using remote sensing and GIS - A case study of Nethravathi Basin

(2016) B.P. Ganasri et al.   Geoscience Frontiers

Climate change challenges the current conservation strategy for the giant panda

(2015) Guozhen Shen et al.   BIOLOGICAL CONSERVATION

HAND contour: a new proxy predictor of inundation extent

(2015) Antonio Donato Nobre et al.   HYDROLOGICAL PROCESSES

Anatomy of cascading natural disasters in Japan: main modes and linkages

(2015) Mieko Kumasaki et al.   NATURAL HAZARDS

Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran

(2015) Omid Rahmati et al.   Geocarto International

Comparing species distribution models: a case study of four deep sea urchin species

(2014) José M. González-Irusta et al.   HYDROBIOLOGIA

Estimating landslide susceptibility through a artificial neural network classifier

(2014) Paraskevas Tsangaratos et al.   NATURAL HAZARDS

The Varnes classification of landslide types, an update

(2013) Oldrich Hungr et al.   Landslides

Probabilistic landslide hazard assessment using Copula modeling technique

(2013) Manouchehr Motamedi et al.   Landslides

Landslide stability analysis based on random-fuzzy reliability: taking Liangshuijing landslide as a case

(2013) Wu Yiping et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Probabilistic landslide hazard assessment using homogeneous susceptible units (HSU) along a national highway corridor in the northern Himalayas, India

(2011) Iswar Das et al.   Landslides

A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at İzmir, Turkey

(2011) Aykut Akgun   Landslides

Causes and consequences of recent floods in the Golestan catchments and Caspian Sea regions of Iran

(2011) Forood Sharifi et al.   NATURAL HAZARDS

DEM-based numerical modelling of runoff and soil erosion processes in the hilly–gully loess regions

(2011) Tao Yang et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

A statistical explanation of MaxEnt for ecologists

(2010) Jane Elith et al.   DIVERSITY AND DISTRIBUTIONS

Techniques for evaluating the performance of landslide susceptibility models

(2009) Paolo Frattini et al.   ENGINEERING GEOLOGY

HAND, a new terrain descriptor using SRTM-DEM: Mapping terra-firme rainforest environments in Amazonia

(2008) Camilo Daleles Rennó et al.   REMOTE SENSING OF ENVIRONMENT