Comparisons of Diverse Machine Learning Approaches for Wildfire Susceptibility Mapping

Fuzzy-metaheuristic ensembles for spatial assessment of forest fire susceptibility

(2020) Hossein Moayedi et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

Vulnerability evaluation of urban buildings to various earthquake intensities: a case study of the municipal zone 9 of Tehran

(2019) Hossein Nazmfar et al.   HUMAN AND ECOLOGICAL RISK ASSESSMENT

Predictive modeling of wildfires: A new dataset and machine learning approach

(2019) Younes Oulad Sayad et al.   FIRE SAFETY JOURNAL

Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability

(2019) Abolfazl Jaafari et al.   AGRICULTURAL AND FOREST METEOROLOGY

Machine learning models accurately model ozone exposure during wildfire events

(2019) Gregory L. Watson et al.   ENVIRONMENTAL POLLUTION

Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model

(2019) Duie Tien Bui et al.   Remote Sensing

Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China

(2019) Guoli Zhang et al.   International Journal of Disaster Risk Science

Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas

(2019) Sepideh Tavakkoli Piralilou et al.   Remote Sensing

Landslide Susceptibility Evaluation Using Hybrid Integration of Evidential Belief Function and Machine Learning Techniques

(2019) Yang Li et al.   Water

Landslide Susceptibility Mapping for Austria Using Geons and Optimization with the Dempster-Shafer Theory

(2019) Thimmaiah Gudiyangada Nachappa et al.   Applied Sciences-Basel

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

(2018) Hamid Reza Pourghasemi et al.   CATENA

Nondestructive Estimation of Standing Crop and Fuel Moisture Content in Tallgrass Prairie

(2018) Sonisa Sharma et al.   Rangeland Ecology & Management

A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping

(2018) Omid Ghorbanzadeh et al.   Journal of Spatial Science

A new GIS-based data mining technique using an adaptive neuro-fuzzy inference system (ANFIS) and k-fold cross-validation approach for land subsidence susceptibility mapping

(2018) Omid Ghorbanzadeh et al.   NATURAL HAZARDS

Impact of the North American monsoon on wildfire activity in the southwest United States

(2018) Nicholas J. Nauslar et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

A Modified Change Vector Approach for Quantifying Land Cover Change

(2018) Ru Xu et al.   Remote Sensing

A novel hybrid artificial intelligence approach for flood susceptibility assessment

(2017) Kamran Chapi et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Modelling the spatial variability of wildfire susceptibility in Honduras using remote sensing and geographical information systems

(2017) Miguel Conrado Valdez et al.   Geomatics Natural Hazards & Risk

Investigation of general indicators influencing on forest fire and its susceptibility modeling using different data mining techniques

(2016) Zohre Sadat Pourtaghi et al.   ECOLOGICAL INDICATORS

Global Forest Resources Assessment 2015: What, why and how?

(2015) Kenneth G. MacDicken   FOREST ECOLOGY AND MANAGEMENT

Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

(2015) Dieu Tien Bui et al.   Landslides

Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method

(2015) Mahyat Shafapour Tehrany et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

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

(2015) Omid Rahmati et al.   Geocarto International

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

(2015) Omid Rahmati et al.   Geomatics Natural Hazards & Risk

Forest fire susceptibility mapping in the Minudasht forests, Golestan province, Iran

(2014) Zohre Sadat Pourtaghi et al.   Environmental Earth Sciences

Global fire size distribution is driven by human impact and climate

(2014) Stijn Hantson et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Application of GIS based data driven evidential belief function model to predict groundwater potential zonation

(2014) Haleh Nampak et al.   JOURNAL OF HYDROLOGY

Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms

(2013) Mohammad Zare et al.   Arabian Journal of Geosciences

Estimating emissions from forest fires in Thailand using MODIS active fire product and country specific data

(2013) Agapol Junpen et al.   Asia-Pacific Journal of Atmospheric Sciences

Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS

(2013) Mahyat Shafapour Tehrany et al.   JOURNAL OF HYDROLOGY

A national approach for integrating wildfire simulation modeling into Wildland Urban Interface risk assessments within the United States

(2013) Jessica R. Haas et al.   LANDSCAPE AND URBAN PLANNING

Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression

(2013) Taskin Kavzoglu et al.   Landslides

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

Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods: a comparative study

(2012) Ángel M. Felicísimo et al.   Landslides

A comparative assessment of prediction capabilities of Dempster–Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS

(2012) HamidReza Pourghasemi et al.   Geomatics Natural Hazards & Risk

Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey

(2010) H. A. Nefeslioglu et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model

(2008) Sarol Lee   Journal of Applied Remote Sensing