A novel ensemble modeling approach for the spatial prediction of tropical forest fire susceptibility using LogitBoost machine learning classifier and multi-source geospatial data

Spatial pattern assessment of tropical forest fire danger at Thuan Chau area (Vietnam) using GIS-based advanced machine learning algorithms: A comparative study

(2018) Nguyen Ngoc Thach et al.   Ecological Informatics

Bagging based Support Vector Machines for spatial prediction of landslides

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

Spatial prediction of landslides using a hybrid machine learning approach based on Random Subspace and Classification and Regression Trees

(2018) Binh Thai Pham et al.   GEOMORPHOLOGY

Fire benefits flower beetles in a Mediterranean ecosystem

(2018) Juli G. Pausas et al.   PLoS One

Suitable areas of Phakopsora pachyrhizi, Spodoptera exigua, and their host plant Phaseolus vulgaris are projected to reduce and shift due to climate change

(2018) Nadiezhda Yakovleva Zitz Ramirez-Cabral et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran)

(2018) Sasan Vafaei et al.   Remote Sensing

Enhancing Prediction Performance of Landslide Susceptibility Model Using Hybrid Machine Learning Approach of Bagging Ensemble and Logistic Model Tree

(2018) Xuan Truong et al.   Applied Sciences-Basel

A fuzzy inference and big data analysis algorithm for the prediction of forest fire based on rechargeable wireless sensor networks

(2018) Haifeng Lin et al.   Sustainable Computing-Informatics & Systems

GIS-based spatial prediction of tropical forest fire danger using a new hybrid machine learning method

(2018) Dieu Tien Bui et al.   Ecological Informatics

Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms

(2018) Dieu Tien Bui et al.   SENSORS

The greening of the Himalayas and Tibetan Plateau under climate change

(2017) Pramod Lamsal et al.   GLOBAL AND PLANETARY CHANGE

Spatial prediction of wildfire probability in the Hyrcanian ecoregion using evidential belief function model and GIS

(2017) M. H. Nami et al.   International Journal of Environmental Science and Technology

Review of native vegetation condition assessment concepts, methods and future trends

(2017) Mahyat Shafapour Tehrany et al.   JOURNAL FOR NATURE CONSERVATION

Global risk levels for corn rusts (Puccinia sorghi and Puccinia polysora ) under climate change projections

(2017) Nadiezhda Yakovleva Zitz Ramirez-Cabral et al.   JOURNAL OF PHYTOPATHOLOGY

Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS

(2017) Hossein Mojaddadi et al.   Geomatics Natural Hazards & Risk

GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks

(2016) Dieu Tien Bui et al.   Environmental Earth Sciences

Efficiency Assessment of Multitemporal C-Band Radarsat-2 Intensity and Landsat-8 Surface Reflectance Satellite Imagery for Crop Classification in Ukraine

(2016) Sergii Skakun et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model and artificial bee colony optimization

(2016) Dieu Tien Bui et al.   Landslides

Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China)

(2016) Haoyuan Hong et al.   Geomatics Natural Hazards & Risk

Tropical Forest Fire Susceptibility Mapping at the Cat Ba National Park Area, Hai Phong City, Vietnam, Using GIS-Based Kernel Logistic Regression

(2016) Dieu Tien Bui et al.   Remote Sensing

An Assessment of Pre- and Post Fire Near Surface Fuel Hazard in an Australian Dry Sclerophyll Forest Using Point Cloud Data Captured Using a Terrestrial Laser Scanner

(2016) Luke Wallace et al.   Remote Sensing

Development of a Multi-Spatial Resolution Approach to the Surveillance of Active Fire Lines Using Himawari-8

(2016) Chathura Wickramasinghe et al.   Remote Sensing

MediBoost: a Patient Stratification Tool for Interpretable Decision Making in the Era of Precision Medicine

(2016) Gilmer Valdes et al.   Scientific Reports

A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques

(2015) Chi Yuan et al.   CANADIAN JOURNAL OF FOREST RESEARCH

Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

(2015) Mahyat Shafapour Tehrany et al.   CATENA

Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines

(2015) Haoyuan Hong et al.   CATENA

The effects of topographic variation and the fire regime on coarse woody debris: Insights from a large wildfire

(2015) Michelle Bassett et al.   FOREST ECOLOGY AND MANAGEMENT

Mixed severity fire effects within the Rim fire: Relative importance of local climate, fire weather, topography, and forest structure

(2015) Van R. Kane et al.   FOREST ECOLOGY AND MANAGEMENT

Detecting forest damage after a low-severity fire using remote sensing at multiple scales

(2015) John T.T.R. Arnett et al.   International Journal of Applied Earth Observation and Geoinformation

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

GIS-based forest fire susceptibility mapping in Iran: a comparison between evidential belief function and binary logistic regression models

(2015) Hamid Reza Pourghasemi   SCANDINAVIAN JOURNAL OF FOREST RESEARCH

Reform forest fire management

(2015) M. P. North et al.   SCIENCE

Climate-induced variations in global wildfire danger from 1979 to 2013

(2015) W. Matt Jolly et al.   Nature Communications

The Changing Strength and Nature of Fire-Climate Relationships in the Northern Rocky Mountains, U.S.A., 1902-2008

(2015) Philip E. Higuera et al.   PLoS One

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

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

Flood susceptibility mapping using integrated bivariate and multivariate statistical models

(2014) Mahyat Shafapour Tehrany et al.   Environmental Earth Sciences

Vegetation fires and air pollution in Vietnam

(2014) Thanh Ha Le et al.   ENVIRONMENTAL POLLUTION

Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS

(2014) Mahyat Shafapour Tehrany et al.   JOURNAL OF HYDROLOGY

Cost-sensitive learning for defect escalation

(2014) Victor S. Sheng et al.   KNOWLEDGE-BASED SYSTEMS

A novel ensemble decision tree-based CHi-squared Automatic Interaction Detection (CHAID) and multivariate logistic regression models in landslide susceptibility mapping

(2014) Omar F. Althuwaynee et al.   Landslides

A comparative assessment of prediction capabilities of modified analytical hierarchy process (M-AHP) and Mamdani fuzzy logic models using Netcad-GIS for forest fire susceptibility mapping

(2014) Hamid reza Pourghasemi et al.   Geomatics Natural Hazards & Risk

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

Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula

(2013) F. Martínez-Álvarez et al.   KNOWLEDGE-BASED SYSTEMS

Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping

(2013) Natan Micheletti et al.   Mathematical Geosciences

A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS

(2012) Biswajeet Pradhan   COMPUTERS & GEOSCIENCES

Late Quaternary tectonics and seismotectonics along the Red River fault zone, North Vietnam

(2012) Phan Trong Trinh et al.   EARTH-SCIENCE REVIEWS

Forest fire risk maps: a GIS open source application – a case study in Norwest of Portugal

(2012) A.C. Teodoro et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Identifying location and causality of fire ignition hotspots in a Mediterranean region

(2012) José Ramón Gonzalez-Olabarria et al.   INTERNATIONAL JOURNAL OF WILDLAND FIRE

Spatial variability in wildfire probability across the western United States

(2012) Marc-André Parisien et al.   INTERNATIONAL JOURNAL OF WILDLAND FIRE

Wildfire ignition-distribution modelling: a comparative study in the Huron?Manistee National Forest, Michigan, USA

(2012) Avi Bar Massada et al.   INTERNATIONAL JOURNAL OF WILDLAND FIRE

Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques

(2012) Hamed Adab et al.   NATURAL HAZARDS

Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran

(2012) Hamid Reza Pourghasemi et al.   NATURAL HAZARDS

Regional prediction of landslide hazard using probability analysis of intense rainfall in the Hoa Binh province, Vietnam

(2012) Dieu Tien Bui et al.   NATURAL HAZARDS

Forest fire activity in Sweden: Climatic controls and geographical patterns in 20th century

(2011) Igor Drobyshev et al.   AGRICULTURAL AND FOREST METEOROLOGY

Landslide susceptibility assessment using SVM machine learning algorithm

(2011) Miloš Marjanović et al.   ENGINEERING GEOLOGY

Post-fire succession of collembolan communities in a northern hardwood forest

(2011) K. Huebner et al.   EUROPEAN JOURNAL OF SOIL BIOLOGY

Continued warming could transform Greater Yellowstone fire regimes by mid-21st century

(2011) Anthony L. Westerling et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Letter to the Editor: Stability of Random Forest importance measures

(2010) M. L. Calle et al.   BRIEFINGS IN BIOINFORMATICS

Random feature weights for decision tree ensemble construction

(2010) Jesús Maudes et al.   Information Fusion

A model for predicting human-caused wildfire occurrence in the region of Madrid, Spain

(2010) Lara Vilar et al.   INTERNATIONAL JOURNAL OF WILDLAND FIRE

Forest fire occurrence and climate change in Canada

(2010) B. M. Wotton et al.   INTERNATIONAL JOURNAL OF WILDLAND FIRE

A Comparison of Spectral Angle Mapper and Artificial Neural Network Classifiers Combined with Landsat TM Imagery Analysis for Obtaining Burnt Area Mapping

(2010) George P. Petropoulos et al.   SENSORS

Development of a framework for fire risk assessment using remote sensing and geographic information system technologies

(2009) Emilio Chuvieco et al.   ECOLOGICAL MODELLING

Ensemble flood forecasting: A review

(2009) H.L. Cloke et al.   JOURNAL OF HYDROLOGY

Landslide susceptibility assessment of the Kraľovany–Liptovský Mikuláš railway case study

(2009) Martin Bednarik et al.   PHYSICS AND CHEMISTRY OF THE EARTH

Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat—Turkey)

(2008) Işık Yilmaz   COMPUTERS & GEOSCIENCES

Assessing fire risk using Monte Carlo simulations of fire spread

(2008) Yohay Carmel et al.   FOREST ECOLOGY AND MANAGEMENT

Interactions among Amazon land use, forests and climate: prospects for a near-term forest tipping point

(2008) D. C Nepstad et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery

(2008) Jonathan Cheung-Wai Chan et al.   REMOTE SENSING OF ENVIRONMENT

Predicting landslides for risk analysis — Spatial models tested by a cross-validation technique

(2007) Chang-Jo Chung et al.   GEOMORPHOLOGY

Biophysical and anthropogenic controls of forest fires in the Deccan Plateau, India

(2007) V. Krishna Prasad et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT